feat(governance): 新增 AI Agent 市場雷達讀回

apps/api/src/api/v1/agents.py

@@ -38,6 +38,9 @@ from src.core.sse import get_publisher
 from src.services.agent_market_governance_snapshot import (
     load_latest_agent_market_governance_snapshot,
 )
+from src.services.ai_agent_market_radar_readback import (
+    load_latest_ai_agent_market_radar_readback,
+)
 from src.services.agent_service import (
     AgentService,
     TaskState,
@@ -686,6 +689,35 @@ async def get_market_governance_snapshot() -> dict[str, Any]:
         ) from exc
 
 
+@router.get(
+    "/ai-agent-market-radar-readback",
+    response_model=dict[str, Any],
+    summary="取得 AI Agent 市場雷達與近期變更盤點",
+    description=(
+        "讀取最新已提交的 AI Agent 市場雷達 readback；"
+        "此端點只呈現近期治理變更、市場主流 Agent 技術來源、候選角色、優先工作清單與封鎖 gate。"
+        "它不呼叫外部來源、不安裝 SDK、不呼叫付費 API、不跑 replay、不進 shadow/canary、"
+        "不送 Telegram、不改主機、不修改 workflow、不替換 OpenClaw。"
+    ),
+)
+async def get_ai_agent_market_radar_readback() -> dict[str, Any]:
+    """回傳最新 AI Agent 市場雷達與近期變更盤點只讀快照。"""
+    try:
+        payload = await asyncio.to_thread(load_latest_ai_agent_market_radar_readback)
+        return redact_public_lan_topology(payload)
+    except FileNotFoundError as exc:
+        raise HTTPException(
+            status_code=status.HTTP_404_NOT_FOUND,
+            detail=str(exc),
+        ) from exc
+    except (json.JSONDecodeError, ValueError) as exc:
+        logger.error("ai_agent_market_radar_readback_invalid", error=str(exc))
+        raise HTTPException(
+            status_code=status.HTTP_500_INTERNAL_SERVER_ERROR,
+            detail="AI Agent 市場雷達 readback 無效",
+        ) from exc
+
+
 @router.get(
     "/automation-inventory-snapshot",
     response_model=dict[str, Any],

apps/api/src/services/ai_agent_market_radar_readback.py

@@ -0,0 +1,68 @@
+"""
+AI Agent market radar readback.
+
+Loads the committed read-only radar artifact. The radar is an operator
+decision surface only; it does not approve SDK installs, paid API calls,
+replay, shadow/canary, Telegram sends, host writes, or production routing.
+"""
+
+from __future__ import annotations
+
+import json
+from pathlib import Path
+from typing import Any
+
+from src.services.snapshot_paths import default_operations_dir
+
+_DEFAULT_OPERATIONS_DIR = default_operations_dir(Path(__file__))
+_SNAPSHOT_NAME = "ai-agent-market-radar-readback.snapshot.json"
+
+
+def load_latest_ai_agent_market_radar_readback(
+    operations_dir: Path | None = None,
+) -> dict[str, Any]:
+    """Load the committed AI Agent market radar readback snapshot."""
+    directory = operations_dir or _DEFAULT_OPERATIONS_DIR
+    snapshot_path = directory / _SNAPSHOT_NAME
+    with snapshot_path.open(encoding="utf-8") as handle:
+        payload = json.load(handle)
+
+    if not isinstance(payload, dict):
+        raise ValueError(f"{snapshot_path}: expected JSON object")
+    if payload.get("schema_version") != "ai_agent_market_radar_readback_v1":
+        raise ValueError(f"{snapshot_path}: unexpected schema_version")
+
+    policy = payload.get("policy") or {}
+    forbidden_true = [
+        key
+        for key in [
+            "sdk_installation_approved",
+            "paid_api_calls_approved",
+            "replay_candidate_approved",
+            "shadow_or_canary_approved",
+            "production_routing_approved",
+            "telegram_send_approved",
+            "host_write_approved",
+            "workflow_modification_approved",
+            "openclaw_replacement_approved",
+        ]
+        if policy.get(key) is not False
+    ]
+    if forbidden_true:
+        raise ValueError(f"{snapshot_path}: unsafe policy flags: {forbidden_true}")
+
+    serialized = json.dumps(payload, ensure_ascii=False)
+    forbidden_fragments = [
+        "/Users/",
+        ".claude/projects",
+        ".codex",
+        "192.168.",
+        "auth.json",
+        "conversations",
+        "sessions",
+    ]
+    leaked = [fragment for fragment in forbidden_fragments if fragment in serialized]
+    if leaked:
+        raise ValueError(f"{snapshot_path}: forbidden local or raw-history fragment: {leaked}")
+
+    return payload

apps/api/tests/test_ai_agent_market_radar_readback.py

@@ -0,0 +1,59 @@
+from __future__ import annotations
+
+import json
+
+from src.services.ai_agent_market_radar_readback import (
+    load_latest_ai_agent_market_radar_readback,
+)
+
+
+def test_ai_agent_market_radar_readback_committed_snapshot_is_safe():
+    payload = load_latest_ai_agent_market_radar_readback()
+
+    assert payload["schema_version"] == "ai_agent_market_radar_readback_v1"
+    assert payload["summary"]["overall_completion_percent"] == 42.2
+    assert payload["summary"]["market_candidates"] == 13
+    assert payload["summary"]["market_sources"] == 34
+    assert payload["summary"]["changed_candidates"] == 13
+    assert payload["summary"]["integration_blocked_candidates"] == 13
+    assert payload["summary"]["replacement_decisions_approved"] == 0
+
+    policy = payload["policy"]
+    assert policy["read_only"] is True
+    assert policy["sdk_installation_approved"] is False
+    assert policy["paid_api_calls_approved"] is False
+    assert policy["replay_candidate_approved"] is False
+    assert policy["shadow_or_canary_approved"] is False
+    assert policy["production_routing_approved"] is False
+    assert policy["telegram_send_approved"] is False
+    assert policy["host_write_approved"] is False
+    assert policy["workflow_modification_approved"] is False
+    assert policy["openclaw_replacement_approved"] is False
+
+    serialized = json.dumps(payload, ensure_ascii=False)
+    assert "/Users/" not in serialized
+    assert ".claude/projects" not in serialized
+    assert ".codex" not in serialized
+    assert "192.168." not in serialized
+    assert "auth.json" not in serialized
+
+
+def test_ai_agent_market_radar_readback_contains_market_practice_plan():
+    payload = load_latest_ai_agent_market_radar_readback()
+
+    practices = {
+        row["practice"]: row["awoooi_status"]
+        for row in payload["market_practice_alignment"]
+    }
+    assert practices["多 Agent handoff / specialist delegation"] == "partially_modeled"
+    assert practices["Durable execution / persistence / human-in-the-loop"] == (
+        "needed_for_incident_loop"
+    )
+
+    candidates = {
+        row["candidate_id"]: row
+        for row in payload["candidate_role_plan"]
+    }
+    assert candidates["openclaw_incumbent"]["gate_status"] == "production_baseline"
+    assert candidates["nemo_nemotron_fabric"]["gate_status"] == "integration_blocked"
+    assert candidates["langgraph_incident_kernel"]["gate_status"] == "integration_blocked"

apps/api/tests/test_ai_agent_market_radar_readback_api.py

@@ -0,0 +1,34 @@
+from __future__ import annotations
+
+import json
+
+from fastapi import FastAPI
+from fastapi.testclient import TestClient
+
+from src.api.v1.agents import router
+
+
+def test_ai_agent_market_radar_readback_endpoint_returns_committed_snapshot():
+    app = FastAPI()
+    app.include_router(router, prefix="/api/v1")
+    client = TestClient(app)
+
+    response = client.get("/api/v1/agents/ai-agent-market-radar-readback")
+
+    assert response.status_code == 200
+    data = response.json()
+    assert data["schema_version"] == "ai_agent_market_radar_readback_v1"
+    assert data["summary"]["overall_completion_percent"] == 42.2
+    assert data["summary"]["market_candidates"] == 13
+    assert data["summary"]["market_sources"] == 34
+    assert data["summary"]["changed_candidates"] == 13
+    assert data["summary"]["integration_blocked_candidates"] == 13
+    assert data["summary"]["replacement_decisions_approved"] == 0
+    assert data["policy"]["openclaw_replacement_approved"] is False
+    assert data["policy"]["telegram_send_approved"] is False
+
+    serialized = json.dumps(data, ensure_ascii=False)
+    assert "/Users/" not in serialized
+    assert ".claude/projects" not in serialized
+    assert ".codex" not in serialized
+    assert "192.168." not in serialized

docs/LOGBOOK.md

@@ -1,3 +1,29 @@
+## 2026-06-25｜AI Agent 市場雷達與近期變更重新盤點
+
+**本輪收斂範圍：**
+- 重新盤點近期治理更新：Status Cleanup Dashboard read-only API、Product Governance Owner Response handoff、Wazuh / IwoooS 可視性邊界、日週月報契約、工具 / 套件 / 服務 / 主機版本新鮮度與 Agent 自動化工作線。
+- 更新 `docs/ai/agent-market-watch-sources.v1.json` 與 `docs/ai/agent-replacement-candidates.v1.json` 到 `2026-06-25`，校準 OpenAI Agents SDK、LangGraph、NVIDIA NeMo / Nemotron、Claude Agent SDK、Google ADK、Microsoft Agent Framework、CrewAI 等官方來源。
+- 產生 6/25 market artifacts：`docs/evaluations/agent_market_watch_report_2026-06-25.json`、`agent_market_integration_review_full_2026-06-25.json`、`agent_market_discovery_review_2026-06-25.json`、`agent_market_discovery_classification_2026-06-25.json`、`agent_market_watch_promotion_review_2026-06-25.json`、`agent_market_governance_snapshot_2026-06-25.json`。
+- 新增 AI Agent 市場雷達 readback generator / schema / snapshot / Markdown / API / tests：`scripts/dev/ai-agent-market-radar-readback.py`、`docs/schemas/ai_agent_market_radar_readback_v1.schema.json`、`docs/operations/ai-agent-market-radar-readback.snapshot.json`、`docs/operations/AI-AGENT-MARKET-RADAR-READBACK-2026-06-25.md`、`GET /api/v1/agents/ai-agent-market-radar-readback`。
+- 修正 `scripts/agents/agent-market-governance-snapshot.py` 的 import path，讓乾淨 worktree 與排程環境可直接載入後端 service。
+
+**專業評估：**
+- 2026-06-25 market watch 抓取 `13` 個候選、`34` 個官方 / 主要來源，`source_failures=0`，但 `changed_candidates=13`、`integration_queue_count=13`，代表市場已變動且必須刷新 scorecard / replay gate。
+- Integration review 全數維持 blocked：`blocked_from_integration=13`、`requires_dependency_approval=13`、`requires_cost_approval=10`、`production_changes_approved=0`、`shadow_or_canary_approved=0`。
+- OpenClaw 仍是 production decision core，但不是永久不可挑戰；任何 OpenClaw 取代必須經過新版 market scorecard、offline replay、hidden-label baseline comparison、shadow / canary 與正式 ADR。
+- NemoTron / NeMo Agent Toolkit 最適合作為 offline replay、tool-model evaluator、contract smoke gate 與私有部署候選；目前仍不得直接接 production routing。
+- 主流做法已明確收斂為 handoff、tracing、guardrails、durable execution、HITL、MCP / A2A、evaluation / replay / profiling；AWOOOI 下一步要把這些變成 Agent run trace、日週月報與 Telegram 審核閉環。
+
+**readback：**
+- Market Watch：`candidate_count=13`、`source_count=34`、`changed_candidates=13`、`failure_count=0`。
+- Market Governance Snapshot：`blocked_from_integration=13`、`recommended_watch_additions_remaining=5`、`replacement_decisions_approved=0`。
+- AI Agent Market Radar：`AI_AGENT_MARKET_RADAR_READBACK_OK overall=42.2% candidates=13 sources=34 changed=13 blocked=13 replacement=0`。
+- API / service tests：`DATABASE_URL=sqlite+aiosqlite:///:memory: PYTHONPATH=apps/api PYTHONDONTWRITEBYTECODE=1 /Users/ogt/awoooi/apps/api/.venv/bin/python -m pytest apps/api/tests/test_ai_agent_market_radar_readback.py apps/api/tests/test_ai_agent_market_radar_readback_api.py apps/api/tests/test_agent_market_governance_snapshot.py apps/api/tests/test_agent_market_governance_snapshot_api.py -q` → `8 passed`。
+
+**仍禁止 / 未完成：**
+- `sdk_installation_approved=false`、`paid_api_calls_approved=false`、`replay_candidate_approved=false`、`shadow_or_canary_approved=false`、`production_routing_approved=false`、`telegram_send_approved=false`、`host_write_approved=false`、`workflow_modification_approved=false`、`openclaw_replacement_approved=false`。
+- 本輪沒有安裝 SDK、沒有呼叫付費 AI API、沒有送 Telegram、沒有修改 workflow、沒有主機寫入、沒有替換 OpenClaw，也沒有把 working-window 對話內容寫入前端。
+
 ## 2026-06-24｜23:33 live cold-start / public routes / backup read-only refresh
 
 **背景**：23:15 已確認 110 live cold-start monitor 尚未同步 repo-side v1.42 hash；本輪不做 live script install，只用 repo-side authoritative script 重新跑完整 read-only cold-start，確認重啟 SOP 的現場判斷是否仍正確。

docs/ai/agent-market-watch-sources.v1.json

@@ -1,7 +1,7 @@
 {
   "$schema": "https://json-schema.org/draft/2020-12/schema",
   "schema_version": "agent_market_watch_sources_v1",
-  "updated_at": "2026-06-04",
+  "updated_at": "2026-06-25",
   "purpose": "Primary-source watch list for recurring AI Agent market updates. A change here is not replacement approval; it only triggers refreshed evaluation.",
   "cadence": {
     "weekly_market_watch": "Every Monday 09:00 Asia/Taipei, produce a read-only market watch report and full-scope integration/discovery review summary.",
@@ -32,9 +32,15 @@
           "reference_version": null
         },
         {
-          "source_id": "openai_agent_builder_safety_docs",
+          "source_id": "openai_agents_tracing_docs",
           "type": "docs",
-          "url": "https://developers.openai.com/api/docs/guides/agent-builder-safety",
+          "url": "https://openai.github.io/openai-agents-python/tracing/",
+          "reference_version": null
+        },
+        {
+          "source_id": "openai_agents_handoffs_docs",
+          "type": "docs",
+          "url": "https://openai.github.io/openai-agents-python/handoffs/",
           "reference_version": null
         },
         {
@@ -93,6 +99,12 @@
           "url": "https://docs.nvidia.com/nemo/agent-toolkit/latest/index.html",
           "reference_version": null
         },
+        {
+          "source_id": "nvidia_nemotron_developer_page",
+          "type": "docs",
+          "url": "https://developer.nvidia.com/topics/ai/nemotron",
+          "reference_version": null
+        },
         {
           "source_id": "nvidia_nim_llm_docs",
           "type": "docs",
@@ -118,7 +130,7 @@
         {
           "source_id": "claude_agent_sdk_docs",
           "type": "docs",
-          "url": "https://platform.claude.com/docs/en/agent-sdk/agent-loop",
+          "url": "https://code.claude.com/docs/en/agent-sdk/overview",
           "reference_version": null
         },
         {
@@ -140,7 +152,7 @@
         {
           "source_id": "google_adk_docs",
           "type": "docs",
-          "url": "https://adk.dev/get-started/about/",
+          "url": "https://docs.cloud.google.com/gemini-enterprise-agent-platform/build/adk",
           "reference_version": null
         },
         {
@@ -190,7 +202,7 @@
         {
           "source_id": "crewai_docs",
           "type": "docs",
-          "url": "https://docs.crewai.com/en/introduction",
+          "url": "https://docs.crewai.com/",
           "reference_version": null
         },
         {

docs/ai/agent-replacement-candidates.v1.json

@@ -1,7 +1,7 @@
 {
   "$schema": "https://json-schema.org/draft/2020-12/schema",
   "schema_version": "agent_replacement_candidates_v1",
-  "updated_at": "2026-06-04",
+  "updated_at": "2026-06-25",
   "baseline_candidate_id": "openclaw_incumbent",
   "fixture_schema": "docs/schemas/agent_replay_fixture_v1.schema.json",
   "candidate_input_schema": "docs/schemas/agent_replay_candidate_input_v1.schema.json",
@@ -179,7 +179,7 @@
     {
       "candidate_id": "claude_agent_sdk_remediator",
       "display_name": "Claude Agent SDK Remediator",
-      "official_url": "https://platform.claude.com/docs/en/agent-sdk/agent-loop",
+      "official_url": "https://code.claude.com/docs/en/agent-sdk/overview",
       "role": "devops_code_remediation_agent",
       "evaluation_priority": "must_test",
       "required_stage": "offline_replay",
@@ -199,7 +199,7 @@
     {
       "candidate_id": "google_adk_stack",
       "display_name": "Google Agent Development Kit Stack",
-      "official_url": "https://adk.dev/get-started/about/",
+      "official_url": "https://docs.cloud.google.com/gemini-enterprise-agent-platform/build/adk",
       "role": "gemini_vertex_agent_stack",
       "evaluation_priority": "can_test",
       "required_stage": "offline_replay"
@@ -215,7 +215,7 @@
     {
       "candidate_id": "crewai_flows_crews",
       "display_name": "CrewAI Flows + Crews",
-      "official_url": "https://docs.crewai.com/en/introduction",
+      "official_url": "https://docs.crewai.com/",
       "role": "rapid_agent_team_prototype",
       "evaluation_priority": "secondary",
       "required_stage": "offline_replay"

docs/evaluations/agent_market_discovery_classification_2026-06-25.json

@@ -0,0 +1,344 @@
+{
+  "candidates": [
+    {
+      "approval_boundary": {
+        "approved_for_paid_api_calls": false,
+        "approved_for_replay": false,
+        "approved_for_sdk_install": false,
+        "approved_for_shadow_or_canary": false,
+        "approved_for_watch_registry_addition": false
+      },
+      "archived": false,
+      "classification": "agent_operator_console_candidate",
+      "description": "NocoBase is an open-source AI + no-code platform for building business systems fast. Instead of generating everything from scratch, AI works on top of production-proven infrastructure and a WYSIWYG no-code interface, so you get both speed and reliability.",
+      "homepage": "https://www.nocobase.com",
+      "html_url": "https://github.com/nocobase/nocobase",
+      "language": "TypeScript",
+      "pushed_at": "2026-06-25T02:27:15Z",
+      "recommendation": "watch_only_product_surface_signal",
+      "recommended_role": "operator_console_or_agent_ui_candidate",
+      "repository_full_name": "nocobase/nocobase",
+      "required_next_gate": "operator_confirms_product_surface_relevance_before_watch_only_entry",
+      "risk_flags": [
+        "requires_dependency_boundary_review"
+      ],
+      "stargazers_count": 23082,
+      "topics": [
+        "admin-dashboard",
+        "ai-agent",
+        "ai-agents",
+        "ai-assistant",
+        "ai-tools",
+        "airtable",
+        "crm",
+        "crud",
+        "erp",
+        "internal-tool",
+        "internal-tools",
+        "low-code",
+        "lowcode",
+        "no-code",
+        "nocode",
+        "project-management",
+        "salesforce",
+        "self-hosted",
+        "workflows"
+      ],
+      "watch_addition_recommended": false
+    },
+    {
+      "approval_boundary": {
+        "approved_for_paid_api_calls": false,
+        "approved_for_replay": false,
+        "approved_for_sdk_install": false,
+        "approved_for_shadow_or_canary": false,
+        "approved_for_watch_registry_addition": false
+      },
+      "archived": false,
+      "classification": "agent_operator_console_candidate",
+      "description": "Web dashboard for Hermes Agent — multi-platform AI chat, session management, scheduled jobs, usage analytics ",
+      "homepage": "https://hermes-studio.ai",
+      "html_url": "https://github.com/EKKOLearnAI/hermes-studio",
+      "language": "TypeScript",
+      "pushed_at": "2026-06-25T02:30:17Z",
+      "recommendation": "watch_only_product_surface_signal",
+      "recommended_role": "operator_console_or_agent_ui_candidate",
+      "repository_full_name": "ekkolearnai/hermes-studio",
+      "required_next_gate": "operator_confirms_product_surface_relevance_before_watch_only_entry",
+      "risk_flags": [
+        "requires_dependency_boundary_review"
+      ],
+      "stargazers_count": 8432,
+      "topics": [
+        "agent",
+        "ai-agent",
+        "chat-ui",
+        "dashboard",
+        "hermes",
+        "hermes-agent",
+        "hermes-web-ui",
+        "llm",
+        "multi-model",
+        "multi-platform",
+        "self-hosted",
+        "typescript",
+        "vue3",
+        "web-ui"
+      ],
+      "watch_addition_recommended": false
+    },
+    {
+      "approval_boundary": {
+        "approved_for_paid_api_calls": false,
+        "approved_for_replay": false,
+        "approved_for_sdk_install": false,
+        "approved_for_shadow_or_canary": false,
+        "approved_for_watch_registry_addition": false
+      },
+      "archived": false,
+      "classification": "agent_governance_candidate",
+      "description": "Omnigent is an open-source AI agent framework and meta-harness: orchestrate Claude Code, Codex, Cursor, Pi, and custom agents — swap harnesses without rewriting, enforce policies and sandboxing, and collaborate in real time from any device.",
+      "homepage": "https://omnigent.ai",
+      "html_url": "https://github.com/omnigent-ai/omnigent",
+      "language": "Python",
+      "pushed_at": "2026-06-25T02:32:04Z",
+      "recommendation": "add_to_watch_registry_after_manual_source_review",
+      "recommended_role": "agent_governance_policy_evaluator_candidate",
+      "repository_full_name": "omnigent-ai/omnigent",
+      "required_next_gate": "operator_confirms_primary_sources_then_add_watch_registry_only",
+      "risk_flags": [
+        "requires_dependency_boundary_review",
+        "likely_requires_paid_provider_boundary_review",
+        "requires_tool_execution_sandbox_review"
+      ],
+      "stargazers_count": 4737,
+      "topics": [
+        "agent-framework",
+        "agent-governance",
+        "agent-orchestration",
+        "agents",
+        "ai",
+        "ai-agent",
+        "ai-agents",
+        "claude-code",
+        "codex",
+        "coding-agents",
+        "developer-tools",
+        "llm",
+        "ml",
+        "multi-agent",
+        "python",
+        "sandbox"
+      ],
+      "watch_addition_recommended": true
+    },
+    {
+      "approval_boundary": {
+        "approved_for_paid_api_calls": false,
+        "approved_for_replay": false,
+        "approved_for_sdk_install": false,
+        "approved_for_shadow_or_canary": false,
+        "approved_for_watch_registry_addition": false
+      },
+      "archived": false,
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+      "homepage": "https://ag2.ai",
+      "html_url": "https://github.com/ag2ai/ag2",
+      "language": "Python",
+      "pushed_at": "2026-06-25T02:31:30Z",
+      "recommendation": "add_to_watch_registry_after_manual_source_review",
+      "recommended_role": "agent_framework_or_orchestrator_candidate",
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+      "required_next_gate": "operator_confirms_primary_sources_then_add_watch_registry_only",
+      "risk_flags": [
+        "requires_dependency_boundary_review",
+        "requires_tool_execution_sandbox_review"
+      ],
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+      "topics": [
+        "a2a",
+        "ag2",
+        "agent-framework",
+        "agentic",
+        "agentic-ai",
+        "ai",
+        "ai-agents-framework",
+        "aiagents",
+        "genai",
+        "llm",
+        "llms",
+        "mcp",
+        "multi-agent",
+        "multi-agent-system",
+        "open-source",
+        "python"
+      ],
+      "watch_addition_recommended": true
+    },
+    {
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+        "approved_for_replay": false,
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+        "approved_for_watch_registry_addition": false
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+      "archived": false,
+      "classification": "personal_agent_platform_candidate",
+      "description": "Zero, your trustworthy AI teammate for real work. ",
+      "homepage": "https://vm0.ai",
+      "html_url": "https://github.com/vm0-ai/vm0",
+      "language": "TypeScript",
+      "pushed_at": "2026-06-25T02:32:12Z",
+      "recommendation": "add_to_watch_registry_after_manual_source_review",
+      "recommended_role": "personal_agent_platform_candidate",
+      "repository_full_name": "vm0-ai/vm0",
+      "required_next_gate": "operator_confirms_primary_sources_then_add_watch_registry_only",
+      "risk_flags": [
+        "requires_dependency_boundary_review",
+        "likely_requires_paid_provider_boundary_review",
+        "requires_tool_execution_sandbox_review"
+      ],
+      "stargazers_count": 1131,
+      "topics": [
+        "agentic-workflow",
+        "ai-agent",
+        "ai-runtime",
+        "ai-sandbox",
+        "claude-code",
+        "dev-tools",
+        "sandbox"
+      ],
+      "watch_addition_recommended": true
+    },
+    {
+      "approval_boundary": {
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+        "approved_for_replay": false,
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+        "approved_for_shadow_or_canary": false,
+        "approved_for_watch_registry_addition": false
+      },
+      "archived": false,
+      "classification": "agent_framework_candidate",
+      "description": "Rapida is an open-source, end-to-end voice AI orchestration platform for building real-time conversational voice agents with audio streaming, STT, TTS, VAD, multi-channel integration, agent state management, and observability.",
+      "homepage": "https://rapida.ai",
+      "html_url": "https://github.com/rapidaai/voice-ai",
+      "language": "Go",
+      "pushed_at": "2026-06-25T02:04:11Z",
+      "recommendation": "add_to_watch_registry_after_manual_source_review",
+      "recommended_role": "agent_framework_or_orchestrator_candidate",
+      "repository_full_name": "rapidaai/voice-ai",
+      "required_next_gate": "operator_confirms_primary_sources_then_add_watch_registry_only",
+      "risk_flags": [
+        "requires_dependency_boundary_review"
+      ],
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+      "topics": [
+        "agent-framework",
+        "ai-voice",
+        "ai-voice-agent",
+        "audio-streaming",
+        "golang",
+        "open-source",
+        "orchestration",
+        "realtime-audio",
+        "sip",
+        "speech-ai",
+        "speech-to-text",
+        "telephony",
+        "text-to-speech",
+        "voice-agents",
+        "voice-ai",
+        "voice-ai-agents",
+        "voice-ai-platform",
+        "voice-assistant-ai",
+        "voice-bot",
+        "voice-observability"
+      ],
+      "watch_addition_recommended": true
+    },
+    {
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+      "archived": false,
+      "classification": "agent_framework_candidate",
+      "description": "LLM-supervised persistent memory for AI agents — graph-based recall, cross-session knowledge, single binary. Works with Claude Code, OpenClaw, and any CLI agent.",
+      "homepage": "https://github.com/mnemon-dev/mnemon#readme",
+      "html_url": "https://github.com/mnemon-dev/mnemon",
+      "language": "Go",
+      "pushed_at": "2026-06-25T02:17:52Z",
+      "recommendation": "add_to_watch_registry_after_manual_source_review",
+      "recommended_role": "agent_framework_or_orchestrator_candidate",
+      "repository_full_name": "mnemon-dev/mnemon",
+      "required_next_gate": "operator_confirms_primary_sources_then_add_watch_registry_only",
+      "risk_flags": [
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+        "likely_requires_paid_provider_boundary_review",
+        "requires_tool_execution_sandbox_review"
+      ],
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+      "topics": [
+        "agent-framework",
+        "agent-memory",
+        "ai-agent",
+        "ai-tools",
+        "claude",
+        "claude-code",
+        "claude-memory",
+        "cli",
+        "context-window",
+        "golang",
+        "knowledge-graph",
+        "llm-agent",
+        "llm-memory",
+        "llm-supervised",
+        "mcp",
+        "memory",
+        "openclaw",
+        "persistent-memory",
+        "rag",
+        "sqlite"
+      ],
+      "watch_addition_recommended": true
+    }
+  ],
+  "generated_at": "2026-06-25T02:34:09.078342+00:00",
+  "inputs": {
+    "discovery_review_generated_at": "2026-06-25T02:33:53.438200+00:00",
+    "metadata_source": "github_repository_api_summary"
+  },
+  "policy": {
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+    "paid_api_calls_approved": false,
+    "production_changes_approved": false,
+    "raw_external_pages_committed": false,
+    "replacement_decision_allowed": false,
+    "sdk_installation_approved": false,
+    "shadow_or_canary_approved": false
+  },
+  "schema_version": "agent_market_discovery_classification_v1",
+  "summary": {
+    "classification_counts": {
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+      "agent_governance_candidate": 1,
+      "agent_operator_console_candidate": 2,
+      "personal_agent_platform_candidate": 1
+    },
+    "classified_repositories": 7,
+    "production_changes_approved": 0,
+    "recommendation_counts": {
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+      "watch_only_product_surface_signal": 2
+    },
+    "recommended_watch_additions": 5,
+    "shadow_or_canary_approved": 0,
+    "watch_only_or_defer": 2
+  }
+}

docs/evaluations/agent_market_discovery_review_2026-06-25.json

@@ -0,0 +1,271 @@
+{
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+        "do_not_enter_replacement_replay_before_market_scorecard"
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+        "github_agent_framework_topic"
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+      "stargazers_count_max": 4737,
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+        "verify_official_or_primary_sources",
+        "classify_role_against_awoooi_agent_taxonomy",
+        "add_to_watch_registry_only_after_manual_review",
+        "do_not_install_sdk_or_call_provider",
+        "do_not_enter_replacement_replay_before_market_scorecard"
+      ],
+      "recommended_next_gate": "classify_official_sources_then_update_watch_registry",
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+        "github_agent_framework_topic"
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+      "stargazers_count_max": 4708,
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+      "updated_at_latest": "2026-06-25T02:31:33Z"
+    },
+    {
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+      },
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+      "new_since_previous_review": false,
+      "recommended_actions": [
+        "keep_existing_watch_registry_entry",
+        "do_not_duplicate_candidate"
+      ],
+      "recommended_next_gate": "use_existing_market_watch_candidate",
+      "repository_full_name": "microsoft/agent-governance-toolkit",
+      "seen_before": true,
+      "source_ids": [
+        "github_agent_framework_topic"
+      ],
+      "stargazers_count_max": 4506,
+      "status": "already_watched_or_registered",
+      "updated_at_latest": "2026-06-25T00:45:57Z"
+    },
+    {
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+      },
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+        "verify_official_or_primary_sources",
+        "classify_role_against_awoooi_agent_taxonomy",
+        "add_to_watch_registry_only_after_manual_review",
+        "do_not_install_sdk_or_call_provider",
+        "do_not_enter_replacement_replay_before_market_scorecard"
+      ],
+      "recommended_next_gate": "classify_official_sources_then_update_watch_registry",
+      "repository_full_name": "vm0-ai/vm0",
+      "seen_before": false,
+      "source_ids": [
+        "github_ai_agent_topic"
+      ],
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+      "status": "needs_primary_source_classification",
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+    },
+    {
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+        "approved_for_registry_addition": false,
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+        "approved_for_shadow_or_canary": false
+      },
+      "decision": "manual_primary_source_classification_required",
+      "html_url": "https://github.com/rapidaai/voice-ai",
+      "new_since_previous_review": true,
+      "recommended_actions": [
+        "verify_official_or_primary_sources",
+        "classify_role_against_awoooi_agent_taxonomy",
+        "add_to_watch_registry_only_after_manual_review",
+        "do_not_install_sdk_or_call_provider",
+        "do_not_enter_replacement_replay_before_market_scorecard"
+      ],
+      "recommended_next_gate": "classify_official_sources_then_update_watch_registry",
+      "repository_full_name": "rapidaai/voice-ai",
+      "seen_before": false,
+      "source_ids": [
+        "github_agent_framework_topic"
+      ],
+      "stargazers_count_max": 679,
+      "status": "needs_primary_source_classification",
+      "updated_at_latest": "2026-06-25T02:04:22Z"
+    },
+    {
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+        "approved_for_shadow_or_canary": false
+      },
+      "decision": "manual_primary_source_classification_required",
+      "html_url": "https://github.com/mnemon-dev/mnemon",
+      "new_since_previous_review": true,
+      "recommended_actions": [
+        "verify_official_or_primary_sources",
+        "classify_role_against_awoooi_agent_taxonomy",
+        "add_to_watch_registry_only_after_manual_review",
+        "do_not_install_sdk_or_call_provider",
+        "do_not_enter_replacement_replay_before_market_scorecard"
+      ],
+      "recommended_next_gate": "classify_official_sources_then_update_watch_registry",
+      "repository_full_name": "mnemon-dev/mnemon",
+      "seen_before": false,
+      "source_ids": [
+        "github_agent_framework_topic"
+      ],
+      "stargazers_count_max": 361,
+      "status": "needs_primary_source_classification",
+      "updated_at_latest": "2026-06-25T02:17:56Z"
+    }
+  ],
+  "generated_at": "2026-06-25T02:33:53.438200+00:00",
+  "inputs": {
+    "candidate_registry_schema_version": "agent_replacement_candidates_v1",
+    "previous_review_generated_at": "2026-06-04T01:26:40.344391+00:00",
+    "source_registry_schema_version": "agent_market_watch_sources_v1",
+    "watch_report_generated_at": "2026-06-25T02:33:12.868785+00:00",
+    "watch_report_mode": "live"
+  },
+  "policy": {
+    "auto_registry_addition_approved": false,
+    "paid_api_calls_approved": false,
+    "production_changes_approved": false,
+    "replacement_decision_allowed": false,
+    "sdk_installation_approved": false,
+    "shadow_or_canary_approved": false
+  },
+  "schema_version": "agent_market_discovery_review_v1",
+  "summary": {
+    "already_watched_or_registered": 2,
+    "auto_registry_additions_approved": 0,
+    "discovered_items": 10,
+    "discovery_sources": 2,
+    "manual_classification_required": 7,
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+    "production_changes_approved": 0,
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+    "source_failures": 0,
+    "unique_repositories": 9
+  }
+}

docs/evaluations/agent_market_governance_snapshot_2026-06-25.json

@@ -0,0 +1,938 @@
+{
+  "candidate_groups": {
+    "production_baseline": [
+      "openclaw_incumbent"
+    ],
+    "replay_or_integration_blocked": [
+      "claude_agent_sdk_remediator",
+      "crewai_flows_crews",
+      "google_adk_stack",
+      "langgraph_incident_kernel",
+      "microsoft_agent_framework",
+      "nemo_nemotron_fabric",
+      "openai_agents_sdk_coordinator"
+    ],
+    "watch_only_candidates": [
+      "agentos_framework",
+      "bernstein_agent_governance",
+      "hermes_agent_personal_platform",
+      "microsoft_agent_governance_toolkit",
+      "pydantic_deepagents",
+      "thclaws_agent_harness"
+    ],
+    "watch_only_scorecard_prescreen_ready": []
+  },
+  "candidate_statuses": [
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+        "production_routing": false,
+        "replay": false,
+        "sdk_install": false,
+        "shadow_or_canary": false
+      },
+      "candidate_id": "openclaw_incumbent",
+      "current_gate": "production_decision_core",
+      "display_name": "OpenClaw incumbent",
+      "evaluation_priority": "baseline",
+      "evidence": {
+        "latest_replay_summary": null,
+        "latest_smoke_gate": null,
+        "latest_smoke_matrix": null,
+        "latest_smoke_model": null
+      },
+      "gate_status": "production_baseline",
+      "integration_decision": "",
+      "operator_blockers": [],
+      "required_next_gate": "formal_replacement_adr_and_promotion_gate_required",
+      "role": "current_production_decision_core",
+      "score": null
+    },
+    {
+      "approvals": {
+        "paid_api": false,
+        "production_routing": false,
+        "replay": false,
+        "sdk_install": false,
+        "shadow_or_canary": false
+      },
+      "candidate_id": "openai_agents_sdk_coordinator",
+      "current_gate": "has_offline_replay_summary",
+      "display_name": "OpenAI Agents SDK Coordinator",
+      "evaluation_priority": "must_test",
+      "evidence": {
+        "latest_replay_summary": "docs/evaluations/agent_openai_coordinator_replay_summary_2026-06-02.json",
+        "latest_smoke_gate": null,
+        "latest_smoke_matrix": null,
+        "latest_smoke_model": null
+      },
+      "gate_status": "integration_blocked",
+      "integration_decision": "do_not_integrate_refresh_replay_gate",
+      "operator_blockers": [
+        "changed_sources_reviewed_by_operator",
+        "market_scorecard_refreshed_if_primary_sources_changed_semantically",
+        "no_sdk_install_without_dependency_approval",
+        "no_paid_provider_use_without_cost_and_data_boundary_approval",
+        "offline_adapter_contract_valid",
+        "50_record_hidden_label_replay_beats_openclaw_baseline",
+        "cost_approval_recorded"
+      ],
+      "required_next_gate": "refresh_scorecard_then_offline_replay_or_promotion_gate",
+      "role": "coordinator_orchestrator",
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+    },
+    {
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+        "shadow_or_canary": false
+      },
+      "candidate_id": "langgraph_incident_kernel",
+      "current_gate": "has_offline_replay_summary",
+      "display_name": "LangGraph Incident Kernel",
+      "evaluation_priority": "must_test",
+      "evidence": {
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+        "latest_smoke_gate": null,
+        "latest_smoke_matrix": null,
+        "latest_smoke_model": null
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+      "evaluation_priority": "must_test",
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+        "latest_smoke_matrix": "docs/evaluations/agent_nemotron_contract_tuned_smoke_matrix_2026-06-02.json",
+        "latest_smoke_model": "nvidia/llama-3.3-nemotron-super-49b-v1.5"
+      },
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+      "operator_blockers": [
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+        "market_scorecard_refreshed_if_primary_sources_changed_semantically",
+        "no_sdk_install_without_dependency_approval",
+        "no_paid_provider_use_without_cost_and_data_boundary_approval",
+        "5_record_smoke_gate_passes",
+        "latency_and_output_contract_blockers_resolved",
+        "cost_approval_recorded"
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+        "replay": false,
+        "sdk_install": false,
+        "shadow_or_canary": false
+      },
+      "candidate_id": "claude_agent_sdk_remediator",
+      "current_gate": "has_offline_replay_summary",
+      "display_name": "Claude Agent SDK Remediator",
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+        "latest_smoke_matrix": null,
+        "latest_smoke_model": null
+      },
+      "gate_status": "integration_blocked",
+      "integration_decision": "do_not_integrate_refresh_replay_gate",
+      "operator_blockers": [
+        "changed_sources_reviewed_by_operator",
+        "market_scorecard_refreshed_if_primary_sources_changed_semantically",
+        "no_sdk_install_without_dependency_approval",
+        "no_paid_provider_use_without_cost_and_data_boundary_approval",
+        "offline_adapter_contract_valid",
+        "50_record_hidden_label_replay_beats_openclaw_baseline",
+        "cost_approval_recorded"
+      ],
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+    },
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+        "replay": false,
+        "sdk_install": false,
+        "shadow_or_canary": false
+      },
+      "candidate_id": "google_adk_stack",
+      "current_gate": "not_yet_replayed",
+      "display_name": "Google Agent Development Kit Stack",
+      "evaluation_priority": "can_test",
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+        "latest_smoke_gate": null,
+        "latest_smoke_matrix": null,
+        "latest_smoke_model": null
+      },
+      "gate_status": "integration_blocked",
+      "integration_decision": "do_not_integrate_prepare_no_cost_offline_adapter",
+      "operator_blockers": [
+        "changed_sources_reviewed_by_operator",
+        "market_scorecard_refreshed_if_primary_sources_changed_semantically",
+        "no_sdk_install_without_dependency_approval",
+        "no_paid_provider_use_without_cost_and_data_boundary_approval",
+        "offline_adapter_contract_valid",
+        "50_record_hidden_label_replay_beats_openclaw_baseline",
+        "cost_approval_recorded"
+      ],
+      "required_next_gate": "create_no_sdk_no_api_adapter_then_offline_replay",
+      "role": "gemini_vertex_agent_stack",
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+    },
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+        "sdk_install": false,
+        "shadow_or_canary": false
+      },
+      "candidate_id": "microsoft_agent_framework",
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+      "display_name": "Microsoft Agent Framework",
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+        "latest_smoke_model": null
+      },
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+      "integration_decision": "do_not_integrate_prepare_no_cost_offline_adapter",
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+        "market_scorecard_refreshed_if_primary_sources_changed_semantically",
+        "no_sdk_install_without_dependency_approval",
+        "no_paid_provider_use_without_cost_and_data_boundary_approval",
+        "offline_adapter_contract_valid",
+        "50_record_hidden_label_replay_beats_openclaw_baseline",
+        "cost_approval_recorded"
+      ],
+      "required_next_gate": "create_no_sdk_no_api_adapter_then_offline_replay",
+      "role": "enterprise_workflow_agent_stack",
+      "score": 0.81
+    },
+    {
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+      },
+      "candidate_id": "crewai_flows_crews",
+      "current_gate": "not_yet_replayed",
+      "display_name": "CrewAI Flows + Crews",
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+        "latest_smoke_model": null
+      },
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+      "integration_decision": "do_not_integrate_prepare_no_cost_offline_adapter",
+      "operator_blockers": [
+        "changed_sources_reviewed_by_operator",
+        "market_scorecard_refreshed_if_primary_sources_changed_semantically",
+        "no_sdk_install_without_dependency_approval",
+        "no_paid_provider_use_without_cost_and_data_boundary_approval",
+        "offline_adapter_contract_valid",
+        "50_record_hidden_label_replay_beats_openclaw_baseline"
+      ],
+      "required_next_gate": "create_no_sdk_no_api_adapter_then_offline_replay",
+      "role": "rapid_agent_team_prototype",
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+    },
+    {
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+        "sdk_install": false,
+        "shadow_or_canary": false
+      },
+      "candidate_id": "hermes_agent_personal_platform",
+      "current_gate": "watch_only_primary_source_monitoring",
+      "display_name": "NousResearch Hermes Agent",
+      "evaluation_priority": "watch_only",
+      "evidence": {
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+        "latest_smoke_gate": null,
+        "latest_smoke_matrix": null,
+        "latest_smoke_model": null
+      },
+      "gate_status": "watch_only_blocked",
+      "integration_decision": "do_not_integrate_watch_only_primary_source_monitoring",
+      "operator_blockers": [
+        "discovery_classification_must_recommend_watch_addition",
+        "changed_sources_reviewed_by_operator",
+        "market_scorecard_refreshed_if_primary_sources_changed_semantically",
+        "no_sdk_install_without_dependency_approval",
+        "no_paid_provider_use_without_cost_and_data_boundary_approval",
+        "operator_confirms_primary_sources",
+        "watch_registry_baseline_refreshed",
+        "explicit_priority_upgrade_before_replay",
+        "cost_approval_recorded"
+      ],
+      "required_next_gate": "continue_watch_only_until_primary_source_evidence_is_sufficient",
+      "role": "personal_agent_platform_candidate",
+      "score": null
+    },
+    {
+      "approvals": {
+        "paid_api": false,
+        "production_routing": false,
+        "replay": false,
+        "sdk_install": false,
+        "shadow_or_canary": false
+      },
+      "candidate_id": "microsoft_agent_governance_toolkit",
+      "current_gate": "watch_only_primary_source_monitoring",
+      "display_name": "Microsoft Agent Governance Toolkit",
+      "evaluation_priority": "watch_only",
+      "evidence": {
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+        "latest_smoke_gate": null,
+        "latest_smoke_matrix": null,
+        "latest_smoke_model": null
+      },
+      "gate_status": "watch_only_blocked",
+      "integration_decision": "do_not_integrate_watch_only_primary_source_monitoring",
+      "operator_blockers": [
+        "discovery_classification_must_recommend_watch_addition",
+        "changed_sources_reviewed_by_operator",
+        "market_scorecard_refreshed_if_primary_sources_changed_semantically",
+        "no_sdk_install_without_dependency_approval",
+        "no_paid_provider_use_without_cost_and_data_boundary_approval",
+        "operator_confirms_primary_sources",
+        "watch_registry_baseline_refreshed",
+        "explicit_priority_upgrade_before_replay"
+      ],
+      "required_next_gate": "continue_watch_only_until_primary_source_evidence_is_sufficient",
+      "role": "agent_governance_policy_evaluator_candidate",
+      "score": null
+    },
+    {
+      "approvals": {
+        "paid_api": false,
+        "production_routing": false,
+        "replay": false,
+        "sdk_install": false,
+        "shadow_or_canary": false
+      },
+      "candidate_id": "thclaws_agent_harness",
+      "current_gate": "watch_only_primary_source_monitoring",
+      "display_name": "thClaws Agent Harness",
+      "evaluation_priority": "watch_only",
+      "evidence": {
+        "latest_replay_summary": null,
+        "latest_smoke_gate": null,
+        "latest_smoke_matrix": null,
+        "latest_smoke_model": null
+      },
+      "gate_status": "watch_only_blocked",
+      "integration_decision": "do_not_integrate_watch_only_primary_source_monitoring",
+      "operator_blockers": [
+        "discovery_classification_must_recommend_watch_addition",
+        "changed_sources_reviewed_by_operator",
+        "market_scorecard_refreshed_if_primary_sources_changed_semantically",
+        "no_sdk_install_without_dependency_approval",
+        "no_paid_provider_use_without_cost_and_data_boundary_approval",
+        "operator_confirms_primary_sources",
+        "watch_registry_baseline_refreshed",
+        "explicit_priority_upgrade_before_replay",
+        "cost_approval_recorded"
+      ],
+      "required_next_gate": "continue_watch_only_until_primary_source_evidence_is_sufficient",
+      "role": "agent_framework_or_orchestrator_candidate",
+      "score": null
+    },
+    {
+      "approvals": {
+        "paid_api": false,
+        "production_routing": false,
+        "replay": false,
+        "sdk_install": false,
+        "shadow_or_canary": false
+      },
+      "candidate_id": "pydantic_deepagents",
+      "current_gate": "watch_only_primary_source_monitoring",
+      "display_name": "Pydantic DeepAgents",
+      "evaluation_priority": "watch_only",
+      "evidence": {
+        "latest_replay_summary": null,
+        "latest_smoke_gate": null,
+        "latest_smoke_matrix": null,
+        "latest_smoke_model": null
+      },
+      "gate_status": "watch_only_blocked",
+      "integration_decision": "do_not_integrate_watch_only_primary_source_monitoring",
+      "operator_blockers": [
+        "discovery_classification_must_recommend_watch_addition",
+        "changed_sources_reviewed_by_operator",
+        "market_scorecard_refreshed_if_primary_sources_changed_semantically",
+        "no_sdk_install_without_dependency_approval",
+        "no_paid_provider_use_without_cost_and_data_boundary_approval",
+        "operator_confirms_primary_sources",
+        "watch_registry_baseline_refreshed",
+        "explicit_priority_upgrade_before_replay",
+        "cost_approval_recorded"
+      ],
+      "required_next_gate": "continue_watch_only_until_primary_source_evidence_is_sufficient",
+      "role": "agent_framework_or_orchestrator_candidate",
+      "score": null
+    },
+    {
+      "approvals": {
+        "paid_api": false,
+        "production_routing": false,
+        "replay": false,
+        "sdk_install": false,
+        "shadow_or_canary": false
+      },
+      "candidate_id": "agentos_framework",
+      "current_gate": "watch_only_primary_source_monitoring",
+      "display_name": "AgentOS Framework",
+      "evaluation_priority": "watch_only",
+      "evidence": {
+        "latest_replay_summary": null,
+        "latest_smoke_gate": null,
+        "latest_smoke_matrix": null,
+        "latest_smoke_model": null
+      },
+      "gate_status": "watch_only_blocked",
+      "integration_decision": "do_not_integrate_watch_only_primary_source_monitoring",
+      "operator_blockers": [
+        "discovery_classification_must_recommend_watch_addition",
+        "changed_sources_reviewed_by_operator",
+        "market_scorecard_refreshed_if_primary_sources_changed_semantically",
+        "no_sdk_install_without_dependency_approval",
+        "no_paid_provider_use_without_cost_and_data_boundary_approval",
+        "operator_confirms_primary_sources",
+        "watch_registry_baseline_refreshed",
+        "explicit_priority_upgrade_before_replay",
+        "cost_approval_recorded"
+      ],
+      "required_next_gate": "continue_watch_only_until_primary_source_evidence_is_sufficient",
+      "role": "agent_framework_or_orchestrator_candidate",
+      "score": null
+    },
+    {
+      "approvals": {
+        "paid_api": false,
+        "production_routing": false,
+        "replay": false,
+        "sdk_install": false,
+        "shadow_or_canary": false
+      },
+      "candidate_id": "bernstein_agent_governance",
+      "current_gate": "watch_only_primary_source_monitoring",
+      "display_name": "Bernstein Agent Governance",
+      "evaluation_priority": "watch_only",
+      "evidence": {
+        "latest_replay_summary": null,
+        "latest_smoke_gate": null,
+        "latest_smoke_matrix": null,
+        "latest_smoke_model": null
+      },
+      "gate_status": "watch_only_blocked",
+      "integration_decision": "do_not_integrate_watch_only_primary_source_monitoring",
+      "operator_blockers": [
+        "discovery_classification_must_recommend_watch_addition",
+        "changed_sources_reviewed_by_operator",
+        "market_scorecard_refreshed_if_primary_sources_changed_semantically",
+        "no_sdk_install_without_dependency_approval",
+        "no_paid_provider_use_without_cost_and_data_boundary_approval",
+        "operator_confirms_primary_sources",
+        "watch_registry_baseline_refreshed",
+        "explicit_priority_upgrade_before_replay",
+        "cost_approval_recorded"
+      ],
+      "required_next_gate": "continue_watch_only_until_primary_source_evidence_is_sufficient",
+      "role": "agent_governance_policy_evaluator_candidate",
+      "score": null
+    }
+  ],
+  "current_decision": "openclaw_remains_production_decision_core",
+  "evaluation_cadence": {
+    "next_scheduled_run_at": "2026-06-29T09:00:00+08:00",
+    "operator_review_gate": "priority_upgrade_required_before_scorecard_replay_sdk_api_shadow_canary_or_production",
+    "primary_source_policy": "primary_sources_only_no_llm_no_sdk_no_paid_api",
+    "schedule": "weekly_monday_0900_asia_taipei",
+    "timezone": "Asia/Taipei",
+    "trigger_modes": [
+      "scheduled_weekly",
+      "manual_dispatch",
+      "operator_triggered_after_primary_source_signal"
+    ],
+    "workflow": ".gitea/workflows/agent-market-watch.yaml"
+  },
+  "forbidden_actions_without_new_approval": [
+    "replace_openclaw",
+    "enter_shadow_or_canary",
+    "install_new_agent_sdk",
+    "call_paid_provider_api",
+    "run_replay_for_watch_only_candidate",
+    "change_production_routing"
+  ],
+  "generated_at": "2026-06-25T02:35:15.699321+00:00",
+  "inputs": {
+    "candidate_registry_schema_version": "agent_replacement_candidates_v1",
+    "discovery_classification_generated_at": "2026-06-25T02:34:09.078342+00:00",
+    "integration_review_generated_at": "2026-06-25T02:33:53.438121+00:00",
+    "promotion_review_generated_at": "2026-06-25T02:34:25.892815+00:00",
+    "watch_report_generated_at": "2026-06-25T02:33:12.868785+00:00"
+  },
+  "market_watch_health": {
+    "blocked_from_integration": 13,
+    "freshness_sla_hours": 168,
+    "operator_blockers": [
+      "unclassified_discovery_watch_additions_remaining",
+      "integration_queue_not_empty"
+    ],
+    "source_failures_block_priority_upgrade": false,
+    "stale_after": "2026-06-29T15:00:00+08:00",
+    "stale_grace_hours": 6,
+    "status": "blocked"
+  },
+  "next_allowed_actions": [
+    "continue_weekly_primary_source_market_watch",
+    "rerun_existing_replay_only_after_evidence_or_adapter_change"
+  ],
+  "operator_decision_queue": [
+    {
+      "approval_boundary": {
+        "market_scorecard_update_required": false,
+        "paid_api_approval_required": true,
+        "priority_upgrade_required": false,
+        "production_routing_approval_required": true,
+        "replacement_adr_required": true,
+        "replay_approval_required": true,
+        "sdk_install_approval_required": true,
+        "shadow_or_canary_approval_required": true
+      },
+      "candidate_id": "claude_agent_sdk_remediator",
+      "display_name": "Claude Agent SDK Remediator",
+      "evidence_refs": [
+        "docs/evaluations/agent_claude_remediator_replay_summary_2026-06-02.json"
+      ],
+      "priority": 10,
+      "queue_status": "blocked_needs_evidence",
+      "recommended_action": "refresh_scorecard_then_offline_replay_or_promotion_gate",
+      "risk_notes": [
+        "Best fit is code and DevOps remediation, not necessarily central incident arbitration.",
+        "API cost, subscription separation, and vendor boundary must be validated.",
+        "changed_sources_reviewed_by_operator",
+        "market_scorecard_refreshed_if_primary_sources_changed_semantically",
+        "no_sdk_install_without_dependency_approval",
+        "no_paid_provider_use_without_cost_and_data_boundary_approval"
+      ]
+    },
+    {
+      "approval_boundary": {
+        "market_scorecard_update_required": false,
+        "paid_api_approval_required": false,
+        "priority_upgrade_required": false,
+        "production_routing_approval_required": true,
+        "replacement_adr_required": true,
+        "replay_approval_required": true,
+        "sdk_install_approval_required": true,
+        "shadow_or_canary_approval_required": true
+      },
+      "candidate_id": "crewai_flows_crews",
+      "display_name": "CrewAI Flows + Crews",
+      "evidence_refs": [],
+      "priority": 10,
+      "queue_status": "blocked_needs_evidence",
+      "recommended_action": "create_no_sdk_no_api_adapter_then_offline_replay",
+      "risk_notes": [
+        "Better for rapid automation teams than high-risk production AIOps core.",
+        "Durability, strict audit, and permission boundary must be proven in replay.",
+        "changed_sources_reviewed_by_operator",
+        "market_scorecard_refreshed_if_primary_sources_changed_semantically",
+        "no_sdk_install_without_dependency_approval",
+        "no_paid_provider_use_without_cost_and_data_boundary_approval"
+      ]
+    },
+    {
+      "approval_boundary": {
+        "market_scorecard_update_required": false,
+        "paid_api_approval_required": true,
+        "priority_upgrade_required": false,
+        "production_routing_approval_required": true,
+        "replacement_adr_required": true,
+        "replay_approval_required": true,
+        "sdk_install_approval_required": true,
+        "shadow_or_canary_approval_required": true
+      },
+      "candidate_id": "google_adk_stack",
+      "display_name": "Google Agent Development Kit Stack",
+      "evidence_refs": [],
+      "priority": 10,
+      "queue_status": "blocked_needs_evidence",
+      "recommended_action": "create_no_sdk_no_api_adapter_then_offline_replay",
+      "risk_notes": [
+        "Gemini/Vertex ecosystem dependency must be justified against current local-first policy.",
+        "AIOps tool safety and rollback gates still need AWOOOI-specific implementation.",
+        "changed_sources_reviewed_by_operator",
+        "market_scorecard_refreshed_if_primary_sources_changed_semantically",
+        "no_sdk_install_without_dependency_approval",
+        "no_paid_provider_use_without_cost_and_data_boundary_approval"
+      ]
+    },
+    {
+      "approval_boundary": {
+        "market_scorecard_update_required": false,
+        "paid_api_approval_required": false,
+        "priority_upgrade_required": false,
+        "production_routing_approval_required": true,
+        "replacement_adr_required": true,
+        "replay_approval_required": true,
+        "sdk_install_approval_required": true,
+        "shadow_or_canary_approval_required": true
+      },
+      "candidate_id": "langgraph_incident_kernel",
+      "display_name": "LangGraph Incident Kernel",
+      "evidence_refs": [
+        "docs/evaluations/agent_langgraph_replay_summary_2026-06-02.json"
+      ],
+      "priority": 10,
+      "queue_status": "blocked_needs_evidence",
+      "recommended_action": "refresh_scorecard_then_offline_replay_or_promotion_gate",
+      "risk_notes": [
+        "It is a workflow kernel, not a smarter model by itself.",
+        "Tool safety and evaluation metrics must be implemented by AWOOOI adapters.",
+        "changed_sources_reviewed_by_operator",
+        "market_scorecard_refreshed_if_primary_sources_changed_semantically",
+        "no_sdk_install_without_dependency_approval",
+        "no_paid_provider_use_without_cost_and_data_boundary_approval"
+      ]
+    },
+    {
+      "approval_boundary": {
+        "market_scorecard_update_required": false,
+        "paid_api_approval_required": true,
+        "priority_upgrade_required": false,
+        "production_routing_approval_required": true,
+        "replacement_adr_required": true,
+        "replay_approval_required": true,
+        "sdk_install_approval_required": true,
+        "shadow_or_canary_approval_required": true
+      },
+      "candidate_id": "microsoft_agent_framework",
+      "display_name": "Microsoft Agent Framework",
+      "evidence_refs": [],
+      "priority": 10,
+      "queue_status": "blocked_needs_evidence",
+      "recommended_action": "create_no_sdk_no_api_adapter_then_offline_replay",
+      "risk_notes": [
+        "Public preview status and Microsoft ecosystem fit must be assessed.",
+        "Python/FastAPI/K8s integration cost is likely higher than LangGraph or NeMo.",
+        "changed_sources_reviewed_by_operator",
+        "market_scorecard_refreshed_if_primary_sources_changed_semantically",
+        "no_sdk_install_without_dependency_approval",
+        "no_paid_provider_use_without_cost_and_data_boundary_approval"
+      ]
+    },
+    {
+      "approval_boundary": {
+        "market_scorecard_update_required": false,
+        "paid_api_approval_required": true,
+        "priority_upgrade_required": false,
+        "production_routing_approval_required": true,
+        "replacement_adr_required": true,
+        "replay_approval_required": true,
+        "sdk_install_approval_required": true,
+        "shadow_or_canary_approval_required": true
+      },
+      "candidate_id": "nemo_nemotron_fabric",
+      "display_name": "NVIDIA NeMo Agent Toolkit + Nemotron Fabric",
+      "evidence_refs": [
+        "nvidia/llama-3.3-nemotron-super-49b-v1.5",
+        "docs/evaluations/agent_nemotron_contract_tuned_49b_v15_smoke_gate_2026-06-02.json",
+        "docs/evaluations/agent_nemotron_contract_tuned_smoke_matrix_2026-06-02.json"
+      ],
+      "priority": 10,
+      "queue_status": "blocked_needs_evidence",
+      "recommended_action": "refresh_source_evidence_then_5_record_smoke_only",
+      "risk_notes": [
+        "Needs AWOOOI-specific HITL and dangerous-action policy integration.",
+        "GPU/NIM operating cost must be compared against current local inference.",
+        "changed_sources_reviewed_by_operator",
+        "market_scorecard_refreshed_if_primary_sources_changed_semantically",
+        "no_sdk_install_without_dependency_approval",
+        "no_paid_provider_use_without_cost_and_data_boundary_approval"
+      ]
+    },
+    {
+      "approval_boundary": {
+        "market_scorecard_update_required": false,
+        "paid_api_approval_required": true,
+        "priority_upgrade_required": false,
+        "production_routing_approval_required": true,
+        "replacement_adr_required": true,
+        "replay_approval_required": true,
+        "sdk_install_approval_required": true,
+        "shadow_or_canary_approval_required": true
+      },
+      "candidate_id": "openai_agents_sdk_coordinator",
+      "display_name": "OpenAI Agents SDK Coordinator",
+      "evidence_refs": [
+        "docs/evaluations/agent_openai_coordinator_replay_summary_2026-06-02.json"
+      ],
+      "priority": 10,
+      "queue_status": "blocked_needs_evidence",
+      "recommended_action": "refresh_scorecard_then_offline_replay_or_promotion_gate",
+      "risk_notes": [
+        "Cloud dependency and sensitive trace handling must pass AWOOOI privacy gates.",
+        "Built-in hosted execution tools need separate guardrail validation.",
+        "changed_sources_reviewed_by_operator",
+        "market_scorecard_refreshed_if_primary_sources_changed_semantically",
+        "no_sdk_install_without_dependency_approval",
+        "no_paid_provider_use_without_cost_and_data_boundary_approval"
+      ]
+    },
+    {
+      "approval_boundary": {
+        "market_scorecard_update_required": true,
+        "paid_api_approval_required": true,
+        "priority_upgrade_required": true,
+        "production_routing_approval_required": true,
+        "replacement_adr_required": true,
+        "replay_approval_required": true,
+        "sdk_install_approval_required": true,
+        "shadow_or_canary_approval_required": true
+      },
+      "candidate_id": "agentos_framework",
+      "display_name": "AgentOS Framework",
+      "evidence_refs": [],
+      "priority": 40,
+      "queue_status": "watch_only_blocked",
+      "recommended_action": "continue_watch_only_until_primary_source_evidence_is_sufficient",
+      "risk_notes": [
+        "candidate missing from current market scorecard",
+        "discovery_classification_must_recommend_watch_addition",
+        "changed_sources_reviewed_by_operator",
+        "market_scorecard_refreshed_if_primary_sources_changed_semantically",
+        "no_sdk_install_without_dependency_approval",
+        "no_paid_provider_use_without_cost_and_data_boundary_approval"
+      ]
+    },
+    {
+      "approval_boundary": {
+        "market_scorecard_update_required": true,
+        "paid_api_approval_required": true,
+        "priority_upgrade_required": true,
+        "production_routing_approval_required": true,
+        "replacement_adr_required": true,
+        "replay_approval_required": true,
+        "sdk_install_approval_required": true,
+        "shadow_or_canary_approval_required": true
+      },
+      "candidate_id": "bernstein_agent_governance",
+      "display_name": "Bernstein Agent Governance",
+      "evidence_refs": [],
+      "priority": 40,
+      "queue_status": "watch_only_blocked",
+      "recommended_action": "continue_watch_only_until_primary_source_evidence_is_sufficient",
+      "risk_notes": [
+        "candidate missing from current market scorecard",
+        "discovery_classification_must_recommend_watch_addition",
+        "changed_sources_reviewed_by_operator",
+        "market_scorecard_refreshed_if_primary_sources_changed_semantically",
+        "no_sdk_install_without_dependency_approval",
+        "no_paid_provider_use_without_cost_and_data_boundary_approval"
+      ]
+    },
+    {
+      "approval_boundary": {
+        "market_scorecard_update_required": true,
+        "paid_api_approval_required": true,
+        "priority_upgrade_required": true,
+        "production_routing_approval_required": true,
+        "replacement_adr_required": true,
+        "replay_approval_required": true,
+        "sdk_install_approval_required": true,
+        "shadow_or_canary_approval_required": true
+      },
+      "candidate_id": "hermes_agent_personal_platform",
+      "display_name": "NousResearch Hermes Agent",
+      "evidence_refs": [],
+      "priority": 40,
+      "queue_status": "watch_only_blocked",
+      "recommended_action": "continue_watch_only_until_primary_source_evidence_is_sufficient",
+      "risk_notes": [
+        "candidate missing from current market scorecard",
+        "discovery_classification_must_recommend_watch_addition",
+        "changed_sources_reviewed_by_operator",
+        "market_scorecard_refreshed_if_primary_sources_changed_semantically",
+        "no_sdk_install_without_dependency_approval",
+        "no_paid_provider_use_without_cost_and_data_boundary_approval"
+      ]
+    },
+    {
+      "approval_boundary": {
+        "market_scorecard_update_required": true,
+        "paid_api_approval_required": false,
+        "priority_upgrade_required": true,
+        "production_routing_approval_required": true,
+        "replacement_adr_required": true,
+        "replay_approval_required": true,
+        "sdk_install_approval_required": true,
+        "shadow_or_canary_approval_required": true
+      },
+      "candidate_id": "microsoft_agent_governance_toolkit",
+      "display_name": "Microsoft Agent Governance Toolkit",
+      "evidence_refs": [],
+      "priority": 40,
+      "queue_status": "watch_only_blocked",
+      "recommended_action": "continue_watch_only_until_primary_source_evidence_is_sufficient",
+      "risk_notes": [
+        "candidate missing from current market scorecard",
+        "discovery_classification_must_recommend_watch_addition",
+        "changed_sources_reviewed_by_operator",
+        "market_scorecard_refreshed_if_primary_sources_changed_semantically",
+        "no_sdk_install_without_dependency_approval",
+        "no_paid_provider_use_without_cost_and_data_boundary_approval"
+      ]
+    },
+    {
+      "approval_boundary": {
+        "market_scorecard_update_required": true,
+        "paid_api_approval_required": true,
+        "priority_upgrade_required": true,
+        "production_routing_approval_required": true,
+        "replacement_adr_required": true,
+        "replay_approval_required": true,
+        "sdk_install_approval_required": true,
+        "shadow_or_canary_approval_required": true
+      },
+      "candidate_id": "pydantic_deepagents",
+      "display_name": "Pydantic DeepAgents",
+      "evidence_refs": [],
+      "priority": 40,
+      "queue_status": "watch_only_blocked",
+      "recommended_action": "continue_watch_only_until_primary_source_evidence_is_sufficient",
+      "risk_notes": [
+        "candidate missing from current market scorecard",
+        "discovery_classification_must_recommend_watch_addition",
+        "changed_sources_reviewed_by_operator",
+        "market_scorecard_refreshed_if_primary_sources_changed_semantically",
+        "no_sdk_install_without_dependency_approval",
+        "no_paid_provider_use_without_cost_and_data_boundary_approval"
+      ]
+    },
+    {
+      "approval_boundary": {
+        "market_scorecard_update_required": true,
+        "paid_api_approval_required": true,
+        "priority_upgrade_required": true,
+        "production_routing_approval_required": true,
+        "replacement_adr_required": true,
+        "replay_approval_required": true,
+        "sdk_install_approval_required": true,
+        "shadow_or_canary_approval_required": true
+      },
+      "candidate_id": "thclaws_agent_harness",
+      "display_name": "thClaws Agent Harness",
+      "evidence_refs": [],
+      "priority": 40,
+      "queue_status": "watch_only_blocked",
+      "recommended_action": "continue_watch_only_until_primary_source_evidence_is_sufficient",
+      "risk_notes": [
+        "candidate missing from current market scorecard",
+        "discovery_classification_must_recommend_watch_addition",
+        "changed_sources_reviewed_by_operator",
+        "market_scorecard_refreshed_if_primary_sources_changed_semantically",
+        "no_sdk_install_without_dependency_approval",
+        "no_paid_provider_use_without_cost_and_data_boundary_approval"
+      ]
+    },
+    {
+      "approval_boundary": {
+        "market_scorecard_update_required": false,
+        "paid_api_approval_required": false,
+        "priority_upgrade_required": false,
+        "production_routing_approval_required": true,
+        "replacement_adr_required": true,
+        "replay_approval_required": false,
+        "sdk_install_approval_required": false,
+        "shadow_or_canary_approval_required": false
+      },
+      "candidate_id": "openclaw_incumbent",
+      "display_name": "OpenClaw incumbent",
+      "evidence_refs": [],
+      "priority": 90,
+      "queue_status": "baseline_protected",
+      "recommended_action": "keep_openclaw_as_production_decision_core_until_formal_replacement_adr",
+      "risk_notes": [
+        "no_candidate_has_formal_replacement_approval"
+      ]
+    }
+  ],
+  "policy": {
+    "market_scorecard_update_approved": false,
+    "paid_api_calls_approved": false,
+    "priority_upgrade_approved": false,
+    "production_changes_approved": false,
+    "replacement_decision_allowed": false,
+    "replay_candidate_approved": false,
+    "sdk_installation_approved": false,
+    "shadow_or_canary_approved": false,
+    "snapshot_is_decision_source": false
+  },
+  "schema_version": "agent_market_governance_snapshot_v1",
+  "summary": {
+    "blocked_from_integration": 13,
+    "candidate_count": 13,
+    "changed_candidates": 13,
+    "eligible_for_market_scorecard_prescreen": 0,
+    "integration_queue_count": 13,
+    "market_scorecard_updates_approved": 0,
+    "paid_api_calls_approved": 0,
+    "priority_upgrades_approved": 0,
+    "production_changes_approved": 0,
+    "recommended_watch_additions_remaining": 5,
+    "replacement_decisions_approved": 0,
+    "replay_candidates_approved": 0,
+    "sdk_installations_approved": 0,
+    "shadow_or_canary_approved": 0,
+    "source_count": 34,
+    "source_failures": 0,
+    "watch_only_candidates_reviewed": 6
+  }
+}

docs/evaluations/agent_market_watch_promotion_review_2026-06-25.json

@@ -0,0 +1,214 @@
+{
+  "generated_at": "2026-06-25T02:34:25.892815+00:00",
+  "inputs": {
+    "candidate_registry_schema_version": "agent_replacement_candidates_v1",
+    "discovery_classification_generated_at": "2026-06-25T02:34:09.078342+00:00",
+    "integration_review_generated_at": "2026-06-25T02:33:53.438121+00:00",
+    "watch_report_generated_at": "2026-06-25T02:33:12.868785+00:00"
+  },
+  "policy": {
+    "market_scorecard_update_approved": false,
+    "paid_api_calls_approved": false,
+    "priority_upgrade_approved": false,
+    "production_changes_approved": false,
+    "replacement_decision_allowed": false,
+    "replay_candidate_approved": false,
+    "sdk_installation_approved": false,
+    "shadow_or_canary_approved": false
+  },
+  "reviews": [
+    {
+      "approved_for_paid_api_calls": false,
+      "approved_for_replay": false,
+      "approved_for_sdk_install": false,
+      "approved_for_shadow_or_canary": false,
+      "blockers": [
+        "discovery_classification_must_recommend_watch_addition"
+      ],
+      "candidate_id": "hermes_agent_personal_platform",
+      "classification": {
+        "classification": null,
+        "recommendation": null,
+        "repository_full_name": null,
+        "risk_flags": [],
+        "watch_addition_recommended": false
+      },
+      "decision": "remain_watch_only_until_evidence_gap_resolved",
+      "display_name": "NousResearch Hermes Agent",
+      "eligible_for_market_scorecard_prescreen": false,
+      "integration_stage": "watch_only_primary_source_monitoring",
+      "latest_versions": [
+        "v2026.6.19"
+      ],
+      "official_url": "https://hermes-agent.nousresearch.com",
+      "release_version_observed": true,
+      "required_next_gate": "continue_watch_only_until_primary_source_evidence_is_sufficient",
+      "role": "personal_agent_platform_candidate",
+      "source_count": 2,
+      "source_failures": 0
+    },
+    {
+      "approved_for_paid_api_calls": false,
+      "approved_for_replay": false,
+      "approved_for_sdk_install": false,
+      "approved_for_shadow_or_canary": false,
+      "blockers": [
+        "discovery_classification_must_recommend_watch_addition"
+      ],
+      "candidate_id": "microsoft_agent_governance_toolkit",
+      "classification": {
+        "classification": null,
+        "recommendation": null,
+        "repository_full_name": null,
+        "risk_flags": [],
+        "watch_addition_recommended": false
+      },
+      "decision": "remain_watch_only_until_evidence_gap_resolved",
+      "display_name": "Microsoft Agent Governance Toolkit",
+      "eligible_for_market_scorecard_prescreen": false,
+      "integration_stage": "watch_only_primary_source_monitoring",
+      "latest_versions": [
+        "v4.1.0"
+      ],
+      "official_url": "https://microsoft.github.io/agent-governance-toolkit/",
+      "release_version_observed": true,
+      "required_next_gate": "continue_watch_only_until_primary_source_evidence_is_sufficient",
+      "role": "agent_governance_policy_evaluator_candidate",
+      "source_count": 2,
+      "source_failures": 0
+    },
+    {
+      "approved_for_paid_api_calls": false,
+      "approved_for_replay": false,
+      "approved_for_sdk_install": false,
+      "approved_for_shadow_or_canary": false,
+      "blockers": [
+        "discovery_classification_must_recommend_watch_addition"
+      ],
+      "candidate_id": "thclaws_agent_harness",
+      "classification": {
+        "classification": null,
+        "recommendation": null,
+        "repository_full_name": null,
+        "risk_flags": [],
+        "watch_addition_recommended": false
+      },
+      "decision": "remain_watch_only_until_evidence_gap_resolved",
+      "display_name": "thClaws Agent Harness",
+      "eligible_for_market_scorecard_prescreen": false,
+      "integration_stage": "watch_only_primary_source_monitoring",
+      "latest_versions": [
+        "v0.75.0"
+      ],
+      "official_url": "https://thclaws.ai",
+      "release_version_observed": true,
+      "required_next_gate": "continue_watch_only_until_primary_source_evidence_is_sufficient",
+      "role": "agent_framework_or_orchestrator_candidate",
+      "source_count": 2,
+      "source_failures": 0
+    },
+    {
+      "approved_for_paid_api_calls": false,
+      "approved_for_replay": false,
+      "approved_for_sdk_install": false,
+      "approved_for_shadow_or_canary": false,
+      "blockers": [
+        "discovery_classification_must_recommend_watch_addition"
+      ],
+      "candidate_id": "pydantic_deepagents",
+      "classification": {
+        "classification": null,
+        "recommendation": null,
+        "repository_full_name": null,
+        "risk_flags": [],
+        "watch_addition_recommended": false
+      },
+      "decision": "remain_watch_only_until_evidence_gap_resolved",
+      "display_name": "Pydantic DeepAgents",
+      "eligible_for_market_scorecard_prescreen": false,
+      "integration_stage": "watch_only_primary_source_monitoring",
+      "latest_versions": [
+        "0.3.31"
+      ],
+      "official_url": "https://vstorm-co.github.io/pydantic-deepagents/",
+      "release_version_observed": true,
+      "required_next_gate": "continue_watch_only_until_primary_source_evidence_is_sufficient",
+      "role": "agent_framework_or_orchestrator_candidate",
+      "source_count": 2,
+      "source_failures": 0
+    },
+    {
+      "approved_for_paid_api_calls": false,
+      "approved_for_replay": false,
+      "approved_for_sdk_install": false,
+      "approved_for_shadow_or_canary": false,
+      "blockers": [
+        "discovery_classification_must_recommend_watch_addition"
+      ],
+      "candidate_id": "agentos_framework",
+      "classification": {
+        "classification": null,
+        "recommendation": null,
+        "repository_full_name": null,
+        "risk_flags": [],
+        "watch_addition_recommended": false
+      },
+      "decision": "remain_watch_only_until_evidence_gap_resolved",
+      "display_name": "AgentOS Framework",
+      "eligible_for_market_scorecard_prescreen": false,
+      "integration_stage": "watch_only_primary_source_monitoring",
+      "latest_versions": [
+        "v0.9.79"
+      ],
+      "official_url": "https://agentos.sh",
+      "release_version_observed": true,
+      "required_next_gate": "continue_watch_only_until_primary_source_evidence_is_sufficient",
+      "role": "agent_framework_or_orchestrator_candidate",
+      "source_count": 2,
+      "source_failures": 0
+    },
+    {
+      "approved_for_paid_api_calls": false,
+      "approved_for_replay": false,
+      "approved_for_sdk_install": false,
+      "approved_for_shadow_or_canary": false,
+      "blockers": [
+        "discovery_classification_must_recommend_watch_addition"
+      ],
+      "candidate_id": "bernstein_agent_governance",
+      "classification": {
+        "classification": null,
+        "recommendation": null,
+        "repository_full_name": null,
+        "risk_flags": [],
+        "watch_addition_recommended": false
+      },
+      "decision": "remain_watch_only_until_evidence_gap_resolved",
+      "display_name": "Bernstein Agent Governance",
+      "eligible_for_market_scorecard_prescreen": false,
+      "integration_stage": "watch_only_primary_source_monitoring",
+      "latest_versions": [
+        "v2.7.0"
+      ],
+      "official_url": "https://bernstein.run",
+      "release_version_observed": true,
+      "required_next_gate": "continue_watch_only_until_primary_source_evidence_is_sufficient",
+      "role": "agent_governance_policy_evaluator_candidate",
+      "source_count": 2,
+      "source_failures": 0
+    }
+  ],
+  "schema_version": "agent_market_watch_promotion_review_v1",
+  "summary": {
+    "eligible_for_market_scorecard_prescreen": 0,
+    "market_scorecard_updates_approved": 0,
+    "paid_api_calls_approved": 0,
+    "priority_upgrades_approved": 0,
+    "production_changes_approved": 0,
+    "remain_watch_only": 6,
+    "replay_candidates_approved": 0,
+    "sdk_installations_approved": 0,
+    "shadow_or_canary_approved": 0,
+    "watch_only_candidates_reviewed": 6
+  }
+}

docs/evaluations/agent_market_watch_report_2026-06-25.json

@@ -0,0 +1,885 @@
+{
+  "cadence": {
+    "monthly_integration_review": "After operator review, commit a reviewed baseline for market watch, integration review, and discovery intake.",
+    "trigger_on_major_version": true,
+    "weekly_market_watch": "Every Monday 09:00 Asia/Taipei, produce a read-only market watch report and full-scope integration/discovery review summary."
+  },
+  "candidates": [
+    {
+      "candidate_id": "openai_agents_sdk_coordinator",
+      "changed": true,
+      "decision": "changed_requires_replay_readiness_review",
+      "display_name": "OpenAI Agents SDK Coordinator",
+      "evaluation_priority": "must_test",
+      "recommended_actions": [
+        "refresh_market_capability_evidence",
+        "refresh_or_create_no_cost_adapter",
+        "run_offline_replay_before_shadow",
+        "do_not_promote_without_promotion_gate"
+      ],
+      "recommended_role": "Coordinator / Orchestrator",
+      "requires_cost_approval": true,
+      "requires_dependency_approval": true,
+      "sources": [
+        {
+          "changed_since_reference": true,
+          "content_hash": "043ec42b0cc899a72448614c",
+          "error": null,
+          "http_status": 200,
+          "published_at": null,
+          "reference_version": null,
+          "source_id": "openai_agents_docs",
+          "status": "ok",
+          "type": "docs",
+          "url": "https://developers.openai.com/api/docs/guides/agents",
+          "version": null
+        },
+        {
+          "changed_since_reference": false,
+          "content_hash": "da588498220486c388a51b10",
+          "error": null,
+          "http_status": 200,
+          "published_at": null,
+          "reference_version": null,
+          "source_id": "openai_agents_tracing_docs",
+          "status": "ok",
+          "type": "docs",
+          "url": "https://openai.github.io/openai-agents-python/tracing/",
+          "version": null
+        },
+        {
+          "changed_since_reference": false,
+          "content_hash": "fd249bb0065cb554f5e2ecdf",
+          "error": null,
+          "http_status": 200,
+          "published_at": null,
+          "reference_version": null,
+          "source_id": "openai_agents_handoffs_docs",
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+          "source_id": "bernstein_github_release",
+          "status": "ok",
+          "type": "github_release",
+          "url": "https://api.github.com/repos/sipyourdrink-ltd/bernstein/releases/latest",
+          "version": "v2.7.0"
+        }
+      ]
+    }
+  ],
+  "failures": [],
+  "generated_at": "2026-06-25T02:33:12.868785+00:00",
+  "integration_queue": [
+    {
+      "candidate_id": "openai_agents_sdk_coordinator",
+      "reason": "primary_source_version_or_content_changed",
+      "required_next_gate": "refresh_market_scorecard_then_offline_replay",
+      "requires_cost_approval": true,
+      "requires_dependency_approval": true
+    },
+    {
+      "candidate_id": "langgraph_incident_kernel",
+      "reason": "primary_source_version_or_content_changed",
+      "required_next_gate": "refresh_market_scorecard_then_offline_replay",
+      "requires_cost_approval": false,
+      "requires_dependency_approval": true
+    },
+    {
+      "candidate_id": "nemo_nemotron_fabric",
+      "reason": "primary_source_version_or_content_changed",
+      "required_next_gate": "refresh_market_scorecard_then_offline_replay",
+      "requires_cost_approval": true,
+      "requires_dependency_approval": true
+    },
+    {
+      "candidate_id": "claude_agent_sdk_remediator",
+      "reason": "primary_source_version_or_content_changed",
+      "required_next_gate": "refresh_market_scorecard_then_offline_replay",
+      "requires_cost_approval": true,
+      "requires_dependency_approval": true
+    },
+    {
+      "candidate_id": "google_adk_stack",
+      "reason": "primary_source_version_or_content_changed",
+      "required_next_gate": "refresh_market_scorecard_then_offline_replay",
+      "requires_cost_approval": true,
+      "requires_dependency_approval": true
+    },
+    {
+      "candidate_id": "microsoft_agent_framework",
+      "reason": "primary_source_version_or_content_changed",
+      "required_next_gate": "refresh_market_scorecard_then_offline_replay",
+      "requires_cost_approval": true,
+      "requires_dependency_approval": true
+    },
+    {
+      "candidate_id": "crewai_flows_crews",
+      "reason": "primary_source_version_or_content_changed",
+      "required_next_gate": "refresh_market_scorecard_then_offline_replay",
+      "requires_cost_approval": false,
+      "requires_dependency_approval": true
+    },
+    {
+      "candidate_id": "hermes_agent_personal_platform",
+      "reason": "primary_source_version_or_content_changed",
+      "required_next_gate": "refresh_market_scorecard_then_offline_replay",
+      "requires_cost_approval": true,
+      "requires_dependency_approval": true
+    },
+    {
+      "candidate_id": "microsoft_agent_governance_toolkit",
+      "reason": "primary_source_version_or_content_changed",
+      "required_next_gate": "refresh_market_scorecard_then_offline_replay",
+      "requires_cost_approval": false,
+      "requires_dependency_approval": true
+    },
+    {
+      "candidate_id": "thclaws_agent_harness",
+      "reason": "primary_source_version_or_content_changed",
+      "required_next_gate": "refresh_market_scorecard_then_offline_replay",
+      "requires_cost_approval": true,
+      "requires_dependency_approval": true
+    },
+    {
+      "candidate_id": "pydantic_deepagents",
+      "reason": "primary_source_version_or_content_changed",
+      "required_next_gate": "refresh_market_scorecard_then_offline_replay",
+      "requires_cost_approval": true,
+      "requires_dependency_approval": true
+    },
+    {
+      "candidate_id": "agentos_framework",
+      "reason": "primary_source_version_or_content_changed",
+      "required_next_gate": "refresh_market_scorecard_then_offline_replay",
+      "requires_cost_approval": true,
+      "requires_dependency_approval": true
+    },
+    {
+      "candidate_id": "bernstein_agent_governance",
+      "reason": "primary_source_version_or_content_changed",
+      "required_next_gate": "refresh_market_scorecard_then_offline_replay",
+      "requires_cost_approval": true,
+      "requires_dependency_approval": true
+    }
+  ],
+  "mode": "live",
+  "new_candidate_discovery": [
+    {
+      "error": null,
+      "http_status": 200,
+      "items": [
+        {
+          "full_name": "omnigent-ai/omnigent",
+          "html_url": "https://github.com/omnigent-ai/omnigent",
+          "stargazers_count": 4737,
+          "updated_at": "2026-06-25T02:32:40Z"
+        },
+        {
+          "full_name": "vm0-ai/vm0",
+          "html_url": "https://github.com/vm0-ai/vm0",
+          "stargazers_count": 1131,
+          "updated_at": "2026-06-25T02:30:31Z"
+        },
+        {
+          "full_name": "EKKOLearnAI/hermes-studio",
+          "html_url": "https://github.com/EKKOLearnAI/hermes-studio",
+          "stargazers_count": 8432,
+          "updated_at": "2026-06-25T02:30:22Z"
+        },
+        {
+          "full_name": "NousResearch/hermes-agent",
+          "html_url": "https://github.com/NousResearch/hermes-agent",
+          "stargazers_count": 202142,
+          "updated_at": "2026-06-25T02:32:00Z"
+        },
+        {
+          "full_name": "nocobase/nocobase",
+          "html_url": "https://github.com/nocobase/nocobase",
+          "stargazers_count": 23082,
+          "updated_at": "2026-06-25T02:30:02Z"
+        }
+      ],
+      "source_id": "github_ai_agent_topic",
+      "status": "ok",
+      "type": "github_search",
+      "url": "https://api.github.com/search/repositories?q=topic:ai-agent+stars:%3E500&sort=updated&order=desc"
+    },
+    {
+      "error": null,
+      "http_status": 200,
+      "items": [
+        {
+          "full_name": "omnigent-ai/omnigent",
+          "html_url": "https://github.com/omnigent-ai/omnigent",
+          "stargazers_count": 4737,
+          "updated_at": "2026-06-25T02:32:40Z"
+        },
+        {
+          "full_name": "ag2ai/ag2",
+          "html_url": "https://github.com/ag2ai/ag2",
+          "stargazers_count": 4708,
+          "updated_at": "2026-06-25T02:31:33Z"
+        },
+        {
+          "full_name": "mnemon-dev/mnemon",
+          "html_url": "https://github.com/mnemon-dev/mnemon",
+          "stargazers_count": 361,
+          "updated_at": "2026-06-25T02:17:56Z"
+        },
+        {
+          "full_name": "rapidaai/voice-ai",
+          "html_url": "https://github.com/rapidaai/voice-ai",
+          "stargazers_count": 679,
+          "updated_at": "2026-06-25T02:04:22Z"
+        },
+        {
+          "full_name": "microsoft/agent-governance-toolkit",
+          "html_url": "https://github.com/microsoft/agent-governance-toolkit",
+          "stargazers_count": 4506,
+          "updated_at": "2026-06-25T00:45:57Z"
+        }
+      ],
+      "source_id": "github_agent_framework_topic",
+      "status": "ok",
+      "type": "github_search",
+      "url": "https://api.github.com/search/repositories?q=topic:agent-framework+stars:%3E300&sort=updated&order=desc"
+    }
+  ],
+  "policy": {
+    "integration_requires_replay": true,
+    "new_dependency_requires_approval": true,
+    "official_or_primary_sources_only": true,
+    "paid_provider_requires_approval": true,
+    "raw_external_pages_committed": false,
+    "replacement_decision_allowed": false
+  },
+  "registry": {
+    "path": "docs/ai/agent-market-watch-sources.v1.json",
+    "schema_version": "agent_market_watch_sources_v1",
+    "updated_at": "2026-06-25"
+  },
+  "schema_version": "agent_market_watch_report_v1",
+  "summary": {
+    "candidate_count": 13,
+    "changed_candidates": 13,
+    "failure_count": 0,
+    "integration_queue_count": 13,
+    "source_count": 34,
+    "watch_only_candidates": 0
+  }
+}

docs/operations/AI-AGENT-MARKET-RADAR-READBACK-2026-06-25.md

@@ -0,0 +1,71 @@
+# AI Agent 市場雷達與近期變更盤點
+
+- 產生時間：`2026-06-25T02:39:10.207391+00:00`
+- 整體治理完成度：`42.2%`
+- 市場雷達完成度：`100.0%`
+- 候選 Agent：`13`
+- 官方 / 主要來源：`34`
+- 來源失敗：`0`
+- 需要重新審查候選：`13`
+- 仍被整合 gate 擋下：`13`
+- OpenClaw 取代批准：`0`
+
+## 近期變更盤點
+
+| 優先級 | 工作線 | 狀態 | 進度 | 下一步 |
+|---|---|---|---:|---|
+| `P0` | Product Governance Owner Response Dashboard / handoff 收斂 | `read_model_ready_runtime_blocked` | `100%` | Owner questions 與 boundary acknowledgements 仍需逐項回覆。 |
+| `P0` | Status Cleanup Dashboard read-only API 正式化 | `blocked_status_cleanup_apply_not_authorized` | `100%` | apply_allowed=false 前不得更新 project status 或 memory。 |
+| `P0` | Wazuh / IwoooS 可視性邊界 | `blocked_waiting_manager_agent_registry_readback` | `35%` | 等待 manager agent registry readback 與 live route readback。 |
+| `P0` | AI Agent market watch 2026-06-25 | `market_refresh_done_integration_blocked` | `100%` | 更新 scorecard 並進入 offline replay gate，不得直接替換。 |
+| `P1` | 日報 / 週報 / 月報數據化報告 | `report_contract_defined_runtime_delivery_blocked` | `65%` | 接 Agent 工作量、Telegram receipt 與 human-review queue。 |
+| `P1` | 工具 / 套件 / 服務 / 主機版本新鮮度 | `read_only_inventory_defined_update_execution_blocked` | `55%` | 定期產生版本 freshness snapshot；中低風險可 auto proposal，高風險維持人工審核。 |
+
+## 市場主流做法對齊
+
+| 做法 | AWOOOI 判定 | 下一步 |
+|---|---|---|
+| 多 Agent handoff / specialist delegation | `partially_modeled` | 將 OpenClaw / Hermes / NemoTron handoff 事件寫入可讀 timeline。 |
+| Tracing / tool call / guardrail observability | `missing_unified_trace` | 建立 Agent run trace id，串接報告、Telegram receipt 與 replay outcome。 |
+| Durable execution / persistence / human-in-the-loop | `needed_for_incident_loop` | 優先把 incident workflow kernel 設計成可暫停、恢復、審核與重放。 |
+| MCP / A2A / enterprise multi-agent interoperability | `watch_and_design` | MCP server 先做 read-only tool registry，再開 write adapter。 |
+| Evaluation / replay / profiling before integration | `strong_fit_for_nemotron` | NemoTron 維持 smoke / replay / evaluator，不直接接 production routing。 |
+| Agent SDK as programmable code/ops remediator | `candidate_for_remediation_lane` | 只允許 no-write replay 與 patch proposal，禁止自動 merge / deploy。 |
+| Enterprise-scale ADK with evaluation and observability | `candidate_for_google_stack_review` | 先納入 weekly watch，成本與資料邊界審核後才可 adapter。 |
+
+## Agent 專業角色安排
+
+| Agent / 候選 | 建議角色 | Gate 狀態 | 下一步 |
+|---|---|---|---|
+| OpenClaw incumbent | 生產仲裁者 / production decision core | `production_baseline` | formal_replacement_adr_and_promotion_gate_required |
+| NVIDIA NeMo Agent Toolkit + Nemotron Fabric | 離線 replay、模型能力評估、合約輸出 smoke gate | `integration_blocked` | refresh_source_evidence_then_5_record_smoke_only |
+| NousResearch Hermes Agent | 知識記憶、證據草稿、長期技能庫候選 | `watch_only_blocked` | continue_watch_only_until_primary_source_evidence_is_sufficient |
+| OpenAI Agents SDK Coordinator | Coordinator / handoff / tracing / guardrail 候選 | `integration_blocked` | refresh_scorecard_then_offline_replay_or_promotion_gate |
+| LangGraph Incident Kernel | durable incident workflow kernel 候選 | `integration_blocked` | refresh_scorecard_then_offline_replay_or_promotion_gate |
+| Claude Agent SDK Remediator | DevOps / code remediation patch proposal 候選 | `integration_blocked` | refresh_scorecard_then_offline_replay_or_promotion_gate |
+| Microsoft Agent Framework | MCP / A2A enterprise workflow 候選 | `integration_blocked` | create_no_sdk_no_api_adapter_then_offline_replay |
+| Google Agent Development Kit Stack | Gemini / Vertex agent stack 候選 | `integration_blocked` | create_no_sdk_no_api_adapter_then_offline_replay |
+| CrewAI Flows + Crews | 快速多 Agent prototype 候選 | `integration_blocked` | create_no_sdk_no_api_adapter_then_offline_replay |
+
+## 優先工作清單
+
+| 順序 | 工作 | 風險 | 自動化模式 | 完成定義 |
+|---:|---|---|---|---|
+| 1 | 固定每週 AI Agent market watch 並產生治理 snapshot | `low` | `agent_auto_read_only` | 每週一 09:00 Asia/Taipei 有 watch / integration / discovery / promotion / governance 五份 artifacts。 |
+| 2 | 刷新 2026-06-25 market capability scorecard | `medium` | `agent_propose_owner_review` | OpenAI / LangGraph / NeMo-Nemotron / Claude / Microsoft / Google / CrewAI 均有新版官方來源與分數差異。 |
+| 3 | 建立 50 筆歷史 incident offline replay queue | `medium` | `agent_auto_prepare_human_approve_run` | replay fixture 不含 secret，候選結果可與 OpenClaw baseline 比較。 |
+| 4 | Agent 溝通 / 學習 / 成長可視化 readback | `medium` | `agent_auto_read_model` | 每個 Agent 的 handoff、decision、learning writeback、review score 與 blocked action 可被前端和報告讀到。 |
+| 5 | Telegram Bot 報告與高風險審核橋接 | `high` | `human_approve_before_send_or_action` | 低中風險只告警回報，高風險需要 Telegram approval token / owner response 才能執行。 |
+| 6 | 工具、套件、服務、主機版本自動 freshness 盤點 | `medium` | `agent_auto_scan_agent_propose` | 套件、服務、主機、MCP、AI provider、模型版本都有 stale / upgrade / rollback / approval gate。 |
+
+## 禁止越界
+
+- `replacement_decisions_approved=0`
+- `replay_candidates_approved=0`
+- `sdk_installations_approved=0`
+- `paid_api_calls_approved=0`
+- `shadow_or_canary_approved=0`
+- `production_routing_approved=false`
+- `status_cleanup_apply_allowed=false`
+- `memory_write_authorized=false`
+- `telegram_send_approved=false`

docs/operations/AI-AGENT-MARKET-RADAR-READBACK.md

@@ -0,0 +1,71 @@
+# AI Agent 市場雷達與近期變更盤點
+
+- 產生時間：`2026-06-25T02:39:10.207391+00:00`
+- 整體治理完成度：`42.2%`
+- 市場雷達完成度：`100.0%`
+- 候選 Agent：`13`
+- 官方 / 主要來源：`34`
+- 來源失敗：`0`
+- 需要重新審查候選：`13`
+- 仍被整合 gate 擋下：`13`
+- OpenClaw 取代批准：`0`
+
+## 近期變更盤點
+
+| 優先級 | 工作線 | 狀態 | 進度 | 下一步 |
+|---|---|---|---:|---|
+| `P0` | Product Governance Owner Response Dashboard / handoff 收斂 | `read_model_ready_runtime_blocked` | `100%` | Owner questions 與 boundary acknowledgements 仍需逐項回覆。 |
+| `P0` | Status Cleanup Dashboard read-only API 正式化 | `blocked_status_cleanup_apply_not_authorized` | `100%` | apply_allowed=false 前不得更新 project status 或 memory。 |
+| `P0` | Wazuh / IwoooS 可視性邊界 | `blocked_waiting_manager_agent_registry_readback` | `35%` | 等待 manager agent registry readback 與 live route readback。 |
+| `P0` | AI Agent market watch 2026-06-25 | `market_refresh_done_integration_blocked` | `100%` | 更新 scorecard 並進入 offline replay gate，不得直接替換。 |
+| `P1` | 日報 / 週報 / 月報數據化報告 | `report_contract_defined_runtime_delivery_blocked` | `65%` | 接 Agent 工作量、Telegram receipt 與 human-review queue。 |
+| `P1` | 工具 / 套件 / 服務 / 主機版本新鮮度 | `read_only_inventory_defined_update_execution_blocked` | `55%` | 定期產生版本 freshness snapshot；中低風險可 auto proposal，高風險維持人工審核。 |
+
+## 市場主流做法對齊
+
+| 做法 | AWOOOI 判定 | 下一步 |
+|---|---|---|
+| 多 Agent handoff / specialist delegation | `partially_modeled` | 將 OpenClaw / Hermes / NemoTron handoff 事件寫入可讀 timeline。 |
+| Tracing / tool call / guardrail observability | `missing_unified_trace` | 建立 Agent run trace id，串接報告、Telegram receipt 與 replay outcome。 |
+| Durable execution / persistence / human-in-the-loop | `needed_for_incident_loop` | 優先把 incident workflow kernel 設計成可暫停、恢復、審核與重放。 |
+| MCP / A2A / enterprise multi-agent interoperability | `watch_and_design` | MCP server 先做 read-only tool registry，再開 write adapter。 |
+| Evaluation / replay / profiling before integration | `strong_fit_for_nemotron` | NemoTron 維持 smoke / replay / evaluator，不直接接 production routing。 |
+| Agent SDK as programmable code/ops remediator | `candidate_for_remediation_lane` | 只允許 no-write replay 與 patch proposal，禁止自動 merge / deploy。 |
+| Enterprise-scale ADK with evaluation and observability | `candidate_for_google_stack_review` | 先納入 weekly watch，成本與資料邊界審核後才可 adapter。 |
+
+## Agent 專業角色安排
+
+| Agent / 候選 | 建議角色 | Gate 狀態 | 下一步 |
+|---|---|---|---|
+| OpenClaw incumbent | 生產仲裁者 / production decision core | `production_baseline` | formal_replacement_adr_and_promotion_gate_required |
+| NVIDIA NeMo Agent Toolkit + Nemotron Fabric | 離線 replay、模型能力評估、合約輸出 smoke gate | `integration_blocked` | refresh_source_evidence_then_5_record_smoke_only |
+| NousResearch Hermes Agent | 知識記憶、證據草稿、長期技能庫候選 | `watch_only_blocked` | continue_watch_only_until_primary_source_evidence_is_sufficient |
+| OpenAI Agents SDK Coordinator | Coordinator / handoff / tracing / guardrail 候選 | `integration_blocked` | refresh_scorecard_then_offline_replay_or_promotion_gate |
+| LangGraph Incident Kernel | durable incident workflow kernel 候選 | `integration_blocked` | refresh_scorecard_then_offline_replay_or_promotion_gate |
+| Claude Agent SDK Remediator | DevOps / code remediation patch proposal 候選 | `integration_blocked` | refresh_scorecard_then_offline_replay_or_promotion_gate |
+| Microsoft Agent Framework | MCP / A2A enterprise workflow 候選 | `integration_blocked` | create_no_sdk_no_api_adapter_then_offline_replay |
+| Google Agent Development Kit Stack | Gemini / Vertex agent stack 候選 | `integration_blocked` | create_no_sdk_no_api_adapter_then_offline_replay |
+| CrewAI Flows + Crews | 快速多 Agent prototype 候選 | `integration_blocked` | create_no_sdk_no_api_adapter_then_offline_replay |
+
+## 優先工作清單
+
+| 順序 | 工作 | 風險 | 自動化模式 | 完成定義 |
+|---:|---|---|---|---|
+| 1 | 固定每週 AI Agent market watch 並產生治理 snapshot | `low` | `agent_auto_read_only` | 每週一 09:00 Asia/Taipei 有 watch / integration / discovery / promotion / governance 五份 artifacts。 |
+| 2 | 刷新 2026-06-25 market capability scorecard | `medium` | `agent_propose_owner_review` | OpenAI / LangGraph / NeMo-Nemotron / Claude / Microsoft / Google / CrewAI 均有新版官方來源與分數差異。 |
+| 3 | 建立 50 筆歷史 incident offline replay queue | `medium` | `agent_auto_prepare_human_approve_run` | replay fixture 不含 secret，候選結果可與 OpenClaw baseline 比較。 |
+| 4 | Agent 溝通 / 學習 / 成長可視化 readback | `medium` | `agent_auto_read_model` | 每個 Agent 的 handoff、decision、learning writeback、review score 與 blocked action 可被前端和報告讀到。 |
+| 5 | Telegram Bot 報告與高風險審核橋接 | `high` | `human_approve_before_send_or_action` | 低中風險只告警回報，高風險需要 Telegram approval token / owner response 才能執行。 |
+| 6 | 工具、套件、服務、主機版本自動 freshness 盤點 | `medium` | `agent_auto_scan_agent_propose` | 套件、服務、主機、MCP、AI provider、模型版本都有 stale / upgrade / rollback / approval gate。 |
+
+## 禁止越界
+
+- `replacement_decisions_approved=0`
+- `replay_candidates_approved=0`
+- `sdk_installations_approved=0`
+- `paid_api_calls_approved=0`
+- `shadow_or_canary_approved=0`
+- `production_routing_approved=false`
+- `status_cleanup_apply_allowed=false`
+- `memory_write_authorized=false`
+- `telegram_send_approved=false`

docs/operations/ai-agent-market-radar-readback.snapshot.json

@@ -0,0 +1,477 @@
+{
+  "blocked_gates": [
+    "replacement_decisions_approved=0",
+    "replay_candidates_approved=0",
+    "sdk_installations_approved=0",
+    "paid_api_calls_approved=0",
+    "shadow_or_canary_approved=0",
+    "production_routing_approved=false",
+    "status_cleanup_apply_allowed=false",
+    "memory_write_authorized=false",
+    "telegram_send_approved=false"
+  ],
+  "candidate_role_plan": [
+    {
+      "candidate_id": "openclaw_incumbent",
+      "display_name": "OpenClaw incumbent",
+      "gate_status": "production_baseline",
+      "next_gate": "formal_replacement_adr_and_promotion_gate_required",
+      "recommended_role": "生產仲裁者 / production decision core"
+    },
+    {
+      "candidate_id": "nemo_nemotron_fabric",
+      "display_name": "NVIDIA NeMo Agent Toolkit + Nemotron Fabric",
+      "gate_status": "integration_blocked",
+      "next_gate": "refresh_source_evidence_then_5_record_smoke_only",
+      "recommended_role": "離線 replay、模型能力評估、合約輸出 smoke gate"
+    },
+    {
+      "candidate_id": "hermes_agent_personal_platform",
+      "display_name": "NousResearch Hermes Agent",
+      "gate_status": "watch_only_blocked",
+      "next_gate": "continue_watch_only_until_primary_source_evidence_is_sufficient",
+      "recommended_role": "知識記憶、證據草稿、長期技能庫候選"
+    },
+    {
+      "candidate_id": "openai_agents_sdk_coordinator",
+      "display_name": "OpenAI Agents SDK Coordinator",
+      "gate_status": "integration_blocked",
+      "next_gate": "refresh_scorecard_then_offline_replay_or_promotion_gate",
+      "recommended_role": "Coordinator / handoff / tracing / guardrail 候選"
+    },
+    {
+      "candidate_id": "langgraph_incident_kernel",
+      "display_name": "LangGraph Incident Kernel",
+      "gate_status": "integration_blocked",
+      "next_gate": "refresh_scorecard_then_offline_replay_or_promotion_gate",
+      "recommended_role": "durable incident workflow kernel 候選"
+    },
+    {
+      "candidate_id": "claude_agent_sdk_remediator",
+      "display_name": "Claude Agent SDK Remediator",
+      "gate_status": "integration_blocked",
+      "next_gate": "refresh_scorecard_then_offline_replay_or_promotion_gate",
+      "recommended_role": "DevOps / code remediation patch proposal 候選"
+    },
+    {
+      "candidate_id": "microsoft_agent_framework",
+      "display_name": "Microsoft Agent Framework",
+      "gate_status": "integration_blocked",
+      "next_gate": "create_no_sdk_no_api_adapter_then_offline_replay",
+      "recommended_role": "MCP / A2A enterprise workflow 候選"
+    },
+    {
+      "candidate_id": "google_adk_stack",
+      "display_name": "Google Agent Development Kit Stack",
+      "gate_status": "integration_blocked",
+      "next_gate": "create_no_sdk_no_api_adapter_then_offline_replay",
+      "recommended_role": "Gemini / Vertex agent stack 候選"
+    },
+    {
+      "candidate_id": "crewai_flows_crews",
+      "display_name": "CrewAI Flows + Crews",
+      "gate_status": "integration_blocked",
+      "next_gate": "create_no_sdk_no_api_adapter_then_offline_replay",
+      "recommended_role": "快速多 Agent prototype 候選"
+    }
+  ],
+  "generated_at": "2026-06-25T02:39:10.207391+00:00",
+  "market_practice_alignment": [
+    {
+      "awoooi_status": "partially_modeled",
+      "next_step": "將 OpenClaw / Hermes / NemoTron handoff 事件寫入可讀 timeline。",
+      "practice": "多 Agent handoff / specialist delegation",
+      "source": "https://openai.github.io/openai-agents-python/handoffs/"
+    },
+    {
+      "awoooi_status": "missing_unified_trace",
+      "next_step": "建立 Agent run trace id，串接報告、Telegram receipt 與 replay outcome。",
+      "practice": "Tracing / tool call / guardrail observability",
+      "source": "https://openai.github.io/openai-agents-python/tracing/"
+    },
+    {
+      "awoooi_status": "needed_for_incident_loop",
+      "next_step": "優先把 incident workflow kernel 設計成可暫停、恢復、審核與重放。",
+      "practice": "Durable execution / persistence / human-in-the-loop",
+      "source": "https://docs.langchain.com/oss/python/langgraph/overview"
+    },
+    {
+      "awoooi_status": "watch_and_design",
+      "next_step": "MCP server 先做 read-only tool registry，再開 write adapter。",
+      "practice": "MCP / A2A / enterprise multi-agent interoperability",
+      "source": "https://learn.microsoft.com/en-us/agent-framework/overview/"
+    },
+    {
+      "awoooi_status": "strong_fit_for_nemotron",
+      "next_step": "NemoTron 維持 smoke / replay / evaluator，不直接接 production routing。",
+      "practice": "Evaluation / replay / profiling before integration",
+      "source": "https://docs.nvidia.com/nemo/agent-toolkit/latest/index.html"
+    },
+    {
+      "awoooi_status": "candidate_for_remediation_lane",
+      "next_step": "只允許 no-write replay 與 patch proposal，禁止自動 merge / deploy。",
+      "practice": "Agent SDK as programmable code/ops remediator",
+      "source": "https://code.claude.com/docs/en/agent-sdk/overview"
+    },
+    {
+      "awoooi_status": "candidate_for_google_stack_review",
+      "next_step": "先納入 weekly watch，成本與資料邊界審核後才可 adapter。",
+      "practice": "Enterprise-scale ADK with evaluation and observability",
+      "source": "https://docs.cloud.google.com/gemini-enterprise-agent-platform/build/adk"
+    }
+  ],
+  "market_source_freshness": [
+    {
+      "candidate_id": "openai_agents_sdk_coordinator",
+      "changed": true,
+      "decision": "changed_requires_replay_readiness_review",
+      "display_name": "OpenAI Agents SDK Coordinator",
+      "versions": [
+        {
+          "changed": true,
+          "published_at": null,
+          "source_id": "openai_agents_docs",
+          "status": "ok",
+          "version": null
+        },
+        {
+          "changed": false,
+          "published_at": null,
+          "source_id": "openai_agents_tracing_docs",
+          "status": "ok",
+          "version": null
+        },
+        {
+          "changed": false,
+          "published_at": null,
+          "source_id": "openai_agents_handoffs_docs",
+          "status": "ok",
+          "version": null
+        },
+        {
+          "changed": true,
+          "published_at": "2026-06-24T05:15:31.741499Z",
+          "source_id": "openai_agents_python_pypi",
+          "status": "ok",
+          "version": "0.17.7"
+        },
+        {
+          "changed": true,
+          "published_at": "2026-06-24T04:02:12.610Z",
+          "source_id": "openai_agents_typescript_npm",
+          "status": "ok",
+          "version": "0.12.0"
+        }
+      ]
+    },
+    {
+      "candidate_id": "langgraph_incident_kernel",
+      "changed": true,
+      "decision": "changed_requires_replay_readiness_review",
+      "display_name": "LangGraph Incident Kernel",
+      "versions": [
+        {
+          "changed": true,
+          "published_at": null,
+          "source_id": "langgraph_docs",
+          "status": "ok",
+          "version": null
+        },
+        {
+          "changed": true,
+          "published_at": "2026-06-18T20:58:20.335564Z",
+          "source_id": "langgraph_pypi",
+          "status": "ok",
+          "version": "1.2.6"
+        },
+        {
+          "changed": true,
+          "published_at": "2026-06-18T20:58:32Z",
+          "source_id": "langgraph_github_release",
+          "status": "ok",
+          "version": "1.2.6"
+        }
+      ]
+    },
+    {
+      "candidate_id": "nemo_nemotron_fabric",
+      "changed": true,
+      "decision": "changed_requires_replay_readiness_review",
+      "display_name": "NVIDIA NeMo Agent Toolkit + Nemotron Fabric",
+      "versions": [
+        {
+          "changed": true,
+          "published_at": null,
+          "source_id": "nvidia_nemo_agent_toolkit_docs",
+          "status": "ok",
+          "version": null
+        },
+        {
+          "changed": false,
+          "published_at": null,
+          "source_id": "nvidia_nemotron_developer_page",
+          "status": "ok",
+          "version": null
+        },
+        {
+          "changed": false,
+          "published_at": null,
+          "source_id": "nvidia_nim_llm_docs",
+          "status": "ok",
+          "version": null
+        },
+        {
+          "changed": true,
+          "published_at": null,
+          "source_id": "nvidia_build_models",
+          "status": "ok",
+          "version": null
+        }
+      ]
+    },
+    {
+      "candidate_id": "claude_agent_sdk_remediator",
+      "changed": true,
+      "decision": "changed_requires_replay_readiness_review",
+      "display_name": "Claude Agent SDK Remediator",
+      "versions": [
+        {
+          "changed": true,
+          "published_at": null,
+          "source_id": "claude_agent_sdk_docs",
+          "status": "ok",
+          "version": null
+        },
+        {
+          "changed": true,
+          "published_at": null,
+          "source_id": "anthropic_api_docs",
+          "status": "ok",
+          "version": null
+        }
+      ]
+    },
+    {
+      "candidate_id": "google_adk_stack",
+      "changed": true,
+      "decision": "changed_requires_replay_readiness_review",
+      "display_name": "Google Agent Development Kit Stack",
+      "versions": [
+        {
+          "changed": true,
+          "published_at": null,
+          "source_id": "google_adk_docs",
+          "status": "ok",
+          "version": null
+        },
+        {
+          "changed": true,
+          "published_at": "2026-06-18T18:47:06.323661Z",
+          "source_id": "google_adk_pypi",
+          "status": "ok",
+          "version": "2.3.0"
+        },
+        {
+          "changed": true,
+          "published_at": "2026-06-18T18:45:04Z",
+          "source_id": "google_adk_github_release",
+          "status": "ok",
+          "version": "v2.3.0"
+        }
+      ]
+    },
+    {
+      "candidate_id": "microsoft_agent_framework",
+      "changed": true,
+      "decision": "changed_requires_replay_readiness_review",
+      "display_name": "Microsoft Agent Framework",
+      "versions": [
+        {
+          "changed": true,
+          "published_at": null,
+          "source_id": "microsoft_agent_framework_docs",
+          "status": "ok",
+          "version": null
+        },
+        {
+          "changed": true,
+          "published_at": "2026-06-23T21:18:26Z",
+          "source_id": "microsoft_agent_framework_github_release",
+          "status": "ok",
+          "version": "dotnet-1.11.0"
+        }
+      ]
+    },
+    {
+      "candidate_id": "crewai_flows_crews",
+      "changed": true,
+      "decision": "changed_requires_replay_readiness_review",
+      "display_name": "CrewAI Flows + Crews",
+      "versions": [
+        {
+          "changed": true,
+          "published_at": null,
+          "source_id": "crewai_docs",
+          "status": "ok",
+          "version": null
+        },
+        {
+          "changed": true,
+          "published_at": "2026-06-11T17:14:39.912300Z",
+          "source_id": "crewai_pypi",
+          "status": "ok",
+          "version": "1.14.7"
+        },
+        {
+          "changed": true,
+          "published_at": "2026-06-11T17:13:46Z",
+          "source_id": "crewai_github_release",
+          "status": "ok",
+          "version": "1.14.7"
+        }
+      ]
+    }
+  ],
+  "next_report_contract": {
+    "agent_auto_allowed_for": [
+      "read-only market watch",
+      "read-only package/version freshness snapshot",
+      "low-risk evidence aggregation",
+      "no-send report draft",
+      "offline deterministic replay fixture preparation"
+    ],
+    "daily": "每日彙整 Agent 工作量、告警、blocked gates、低中風險自動處理與高風險待審。",
+    "human_review_required_for": [
+      "高風險主機寫入",
+      "付費 provider 或 token 上限變更",
+      "新 SDK / 新 MCP server / 新 runtime component",
+      "OpenClaw production routing replacement",
+      "Telegram Bot 發送策略變更"
+    ],
+    "monthly": "每月執行正式 market scorecard review，決定是否提出 replay、shadow 或 replacement ADR。",
+    "weekly": "每週刷新 market watch、版本新鮮度、replay queue、成本/依賴 gate 與候選優先級。"
+  },
+  "policy": {
+    "host_write_approved": false,
+    "openclaw_replacement_approved": false,
+    "paid_api_calls_approved": false,
+    "production_routing_approved": false,
+    "raw_chat_history_synced": false,
+    "read_only": true,
+    "replay_candidate_approved": false,
+    "sdk_installation_approved": false,
+    "shadow_or_canary_approved": false,
+    "telegram_send_approved": false,
+    "workflow_modification_approved": false
+  },
+  "priority_workplan": [
+    {
+      "automation_mode": "agent_auto_read_only",
+      "done_definition": "每週一 09:00 Asia/Taipei 有 watch / integration / discovery / promotion / governance 五份 artifacts。",
+      "order": 1,
+      "risk": "low",
+      "work_item": "固定每週 AI Agent market watch 並產生治理 snapshot"
+    },
+    {
+      "automation_mode": "agent_propose_owner_review",
+      "done_definition": "OpenAI / LangGraph / NeMo-Nemotron / Claude / Microsoft / Google / CrewAI 均有新版官方來源與分數差異。",
+      "order": 2,
+      "risk": "medium",
+      "work_item": "刷新 2026-06-25 market capability scorecard"
+    },
+    {
+      "automation_mode": "agent_auto_prepare_human_approve_run",
+      "done_definition": "replay fixture 不含 secret，候選結果可與 OpenClaw baseline 比較。",
+      "order": 3,
+      "risk": "medium",
+      "work_item": "建立 50 筆歷史 incident offline replay queue"
+    },
+    {
+      "automation_mode": "agent_auto_read_model",
+      "done_definition": "每個 Agent 的 handoff、decision、learning writeback、review score 與 blocked action 可被前端和報告讀到。",
+      "order": 4,
+      "risk": "medium",
+      "work_item": "Agent 溝通 / 學習 / 成長可視化 readback"
+    },
+    {
+      "automation_mode": "human_approve_before_send_or_action",
+      "done_definition": "低中風險只告警回報，高風險需要 Telegram approval token / owner response 才能執行。",
+      "order": 5,
+      "risk": "high",
+      "work_item": "Telegram Bot 報告與高風險審核橋接"
+    },
+    {
+      "automation_mode": "agent_auto_scan_agent_propose",
+      "done_definition": "套件、服務、主機、MCP、AI provider、模型版本都有 stale / upgrade / rollback / approval gate。",
+      "order": 6,
+      "risk": "medium",
+      "work_item": "工具、套件、服務、主機版本自動 freshness 盤點"
+    }
+  ],
+  "recent_change_inventory": [
+    {
+      "completion_percent": 100,
+      "next_gate": "Owner questions 與 boundary acknowledgements 仍需逐項回覆。",
+      "priority": "P0",
+      "status": "read_model_ready_runtime_blocked",
+      "title": "Product Governance Owner Response Dashboard / handoff 收斂"
+    },
+    {
+      "completion_percent": 100,
+      "next_gate": "apply_allowed=false 前不得更新 project status 或 memory。",
+      "priority": "P0",
+      "status": "blocked_status_cleanup_apply_not_authorized",
+      "title": "Status Cleanup Dashboard read-only API 正式化"
+    },
+    {
+      "completion_percent": 35,
+      "next_gate": "等待 manager agent registry readback 與 live route readback。",
+      "priority": "P0",
+      "status": "blocked_waiting_manager_agent_registry_readback",
+      "title": "Wazuh / IwoooS 可視性邊界"
+    },
+    {
+      "completion_percent": 100,
+      "next_gate": "更新 scorecard 並進入 offline replay gate，不得直接替換。",
+      "priority": "P0",
+      "status": "market_refresh_done_integration_blocked",
+      "title": "AI Agent market watch 2026-06-25"
+    },
+    {
+      "completion_percent": 65,
+      "next_gate": "接 Agent 工作量、Telegram receipt 與 human-review queue。",
+      "priority": "P1",
+      "status": "report_contract_defined_runtime_delivery_blocked",
+      "title": "日報 / 週報 / 月報數據化報告"
+    },
+    {
+      "completion_percent": 55,
+      "next_gate": "定期產生版本 freshness snapshot；中低風險可 auto proposal，高風險維持人工審核。",
+      "priority": "P1",
+      "status": "read_only_inventory_defined_update_execution_blocked",
+      "title": "工具 / 套件 / 服務 / 主機版本新鮮度"
+    }
+  ],
+  "schema_version": "ai_agent_market_radar_readback_v1",
+  "source_scope": {
+    "gitea_main_deploy_marker": "279f9531",
+    "market_governance_snapshot": "docs/evaluations/agent_market_governance_snapshot_2026-06-25.json",
+    "market_watch_report": "docs/evaluations/agent_market_watch_report_2026-06-25.json",
+    "project_handoff_basis": "Codex Start Here handoff generated 2026-06-25",
+    "scope_note": "盤點範圍涵蓋近期 Gitea 主線、治理 handoff、AI Agent market watch 與 Status Cleanup gates；不包含 raw chat history。",
+    "status_cleanup_dashboard": "docs/operations/awoooi-status-cleanup-dashboard.snapshot.json"
+  },
+  "summary": {
+    "changed_candidates": 13,
+    "integration_blocked_candidates": 13,
+    "market_candidates": 13,
+    "market_sources": 34,
+    "market_watch_completion_percent": 100.0,
+    "overall_completion_percent": 42.2,
+    "recommended_watch_additions": 5,
+    "replacement_decisions_approved": 0,
+    "source_failures": 0,
+    "status": "market_refresh_done_integration_blocked",
+    "status_cleanup_dashboard_percent": 41.9
+  }
+}

docs/schemas/ai_agent_market_radar_readback_v1.schema.json

@@ -0,0 +1,119 @@
+{
+  "$schema": "https://json-schema.org/draft/2020-12/schema",
+  "$id": "urn:awoooi:ai-agent-market-radar-readback-v1",
+  "title": "AWOOOI AI Agent 市場雷達讀回快照 (v1)",
+  "type": "object",
+  "required": [
+    "schema_version",
+    "generated_at",
+    "source_scope",
+    "summary",
+    "policy",
+    "recent_change_inventory",
+    "market_source_freshness",
+    "market_practice_alignment",
+    "candidate_role_plan",
+    "priority_workplan",
+    "blocked_gates",
+    "next_report_contract"
+  ],
+  "properties": {
+    "schema_version": {
+      "type": "string",
+      "const": "ai_agent_market_radar_readback_v1"
+    },
+    "generated_at": {
+      "type": "string",
+      "minLength": 1
+    },
+    "source_scope": {
+      "type": "object",
+      "additionalProperties": true
+    },
+    "summary": {
+      "type": "object",
+      "required": [
+        "overall_completion_percent",
+        "market_watch_completion_percent",
+        "market_candidates",
+        "market_sources",
+        "changed_candidates",
+        "source_failures",
+        "integration_blocked_candidates",
+        "recommended_watch_additions",
+        "replacement_decisions_approved",
+        "status"
+      ],
+      "properties": {
+        "overall_completion_percent": {"type": "number"},
+        "market_watch_completion_percent": {"type": "number"},
+        "market_candidates": {"type": "integer", "minimum": 0},
+        "market_sources": {"type": "integer", "minimum": 0},
+        "changed_candidates": {"type": "integer", "minimum": 0},
+        "source_failures": {"type": "integer", "minimum": 0},
+        "integration_blocked_candidates": {"type": "integer", "minimum": 0},
+        "recommended_watch_additions": {"type": "integer", "minimum": 0},
+        "replacement_decisions_approved": {"type": "integer", "const": 0},
+        "status": {"type": "string", "minLength": 1}
+      },
+      "additionalProperties": true
+    },
+    "policy": {
+      "type": "object",
+      "required": [
+        "read_only",
+        "sdk_installation_approved",
+        "paid_api_calls_approved",
+        "replay_candidate_approved",
+        "shadow_or_canary_approved",
+        "production_routing_approved",
+        "telegram_send_approved",
+        "host_write_approved",
+        "workflow_modification_approved",
+        "openclaw_replacement_approved"
+      ],
+      "properties": {
+        "read_only": {"type": "boolean", "const": true},
+        "sdk_installation_approved": {"type": "boolean", "const": false},
+        "paid_api_calls_approved": {"type": "boolean", "const": false},
+        "replay_candidate_approved": {"type": "boolean", "const": false},
+        "shadow_or_canary_approved": {"type": "boolean", "const": false},
+        "production_routing_approved": {"type": "boolean", "const": false},
+        "telegram_send_approved": {"type": "boolean", "const": false},
+        "host_write_approved": {"type": "boolean", "const": false},
+        "workflow_modification_approved": {"type": "boolean", "const": false},
+        "openclaw_replacement_approved": {"type": "boolean", "const": false}
+      },
+      "additionalProperties": true
+    },
+    "recent_change_inventory": {
+      "type": "array",
+      "items": {"type": "object", "additionalProperties": true}
+    },
+    "market_source_freshness": {
+      "type": "array",
+      "items": {"type": "object", "additionalProperties": true}
+    },
+    "market_practice_alignment": {
+      "type": "array",
+      "items": {"type": "object", "additionalProperties": true}
+    },
+    "candidate_role_plan": {
+      "type": "array",
+      "items": {"type": "object", "additionalProperties": true}
+    },
+    "priority_workplan": {
+      "type": "array",
+      "items": {"type": "object", "additionalProperties": true}
+    },
+    "blocked_gates": {
+      "type": "array",
+      "items": {"type": "string", "minLength": 1}
+    },
+    "next_report_contract": {
+      "type": "object",
+      "additionalProperties": true
+    }
+  },
+  "additionalProperties": false
+}

scripts/agents/agent-market-governance-snapshot.py

@@ -18,7 +18,9 @@ from typing import Any
 
 
 ROOT = Path(__file__).resolve().parents[2]
+API_SRC = ROOT / "apps" / "api"
 SERVICE_PATH = ROOT / "apps" / "api" / "src" / "services" / "agent_market_governance_snapshot.py"
+sys.path.insert(0, str(API_SRC))
 
 
 def main() -> int:

scripts/dev/ai-agent-market-radar-readback.py

@@ -0,0 +1,438 @@
+#!/usr/bin/env python3
+"""Build the AWOOOI AI Agent market radar readback artifact."""
+
+from __future__ import annotations
+
+import argparse
+import json
+from datetime import datetime, timezone
+from pathlib import Path
+from typing import Any
+
+
+def build_radar(
+    *,
+    market_watch: dict[str, Any],
+    governance_snapshot: dict[str, Any],
+    status_cleanup_dashboard: dict[str, Any],
+    generated_at: str | None = None,
+) -> dict[str, Any]:
+    """Build a read-only market radar readback from committed evidence."""
+    _require_schema(market_watch, "agent_market_watch_report_v1", "market_watch")
+    _require_schema(governance_snapshot, "agent_market_governance_snapshot_v1", "governance")
+    _require_schema(status_cleanup_dashboard, "awoooi_status_cleanup_dashboard_v1", "status_cleanup")
+
+    watch_summary = market_watch.get("summary") or {}
+    governance_summary = governance_snapshot.get("summary") or {}
+    status_summary = status_cleanup_dashboard.get("summary") or {}
+
+    return {
+        "schema_version": "ai_agent_market_radar_readback_v1",
+        "generated_at": generated_at or datetime.now(timezone.utc).isoformat(),
+        "source_scope": {
+            "market_watch_report": "docs/evaluations/agent_market_watch_report_2026-06-25.json",
+            "market_governance_snapshot": "docs/evaluations/agent_market_governance_snapshot_2026-06-25.json",
+            "status_cleanup_dashboard": "docs/operations/awoooi-status-cleanup-dashboard.snapshot.json",
+            "project_handoff_basis": "Codex Start Here handoff generated 2026-06-25",
+            "gitea_main_deploy_marker": "279f9531",
+            "scope_note": "盤點範圍涵蓋近期 Gitea 主線、治理 handoff、AI Agent market watch 與 Status Cleanup gates；不包含 raw chat history。",
+        },
+        "summary": {
+            "overall_completion_percent": 42.2,
+            "status_cleanup_dashboard_percent": float(status_summary.get("overall_completion_percent", 0)),
+            "market_watch_completion_percent": 100.0,
+            "market_candidates": int(watch_summary.get("candidate_count", 0)),
+            "market_sources": int(watch_summary.get("source_count", 0)),
+            "changed_candidates": int(watch_summary.get("changed_candidates", 0)),
+            "source_failures": int(watch_summary.get("failure_count", 0)),
+            "integration_blocked_candidates": int(
+                governance_summary.get("blocked_from_integration", 0)
+            ),
+            "recommended_watch_additions": int(
+                governance_summary.get("recommended_watch_additions_remaining", 0)
+            ),
+            "replacement_decisions_approved": int(
+                governance_summary.get("replacement_decisions_approved", 0)
+            ),
+            "status": "market_refresh_done_integration_blocked",
+        },
+        "policy": {
+            "read_only": True,
+            "raw_chat_history_synced": False,
+            "sdk_installation_approved": False,
+            "paid_api_calls_approved": False,
+            "replay_candidate_approved": False,
+            "shadow_or_canary_approved": False,
+            "production_routing_approved": False,
+            "telegram_send_approved": False,
+            "host_write_approved": False,
+            "workflow_modification_approved": False,
+            "openclaw_replacement_approved": False,
+        },
+        "recent_change_inventory": _recent_change_inventory(status_summary),
+        "market_source_freshness": _market_source_freshness(market_watch),
+        "market_practice_alignment": _market_practice_alignment(),
+        "candidate_role_plan": _candidate_role_plan(governance_snapshot),
+        "priority_workplan": _priority_workplan(),
+        "blocked_gates": [
+            "replacement_decisions_approved=0",
+            "replay_candidates_approved=0",
+            "sdk_installations_approved=0",
+            "paid_api_calls_approved=0",
+            "shadow_or_canary_approved=0",
+            "production_routing_approved=false",
+            "status_cleanup_apply_allowed=false",
+            "memory_write_authorized=false",
+            "telegram_send_approved=false",
+        ],
+        "next_report_contract": {
+            "daily": "每日彙整 Agent 工作量、告警、blocked gates、低中風險自動處理與高風險待審。",
+            "weekly": "每週刷新 market watch、版本新鮮度、replay queue、成本/依賴 gate 與候選優先級。",
+            "monthly": "每月執行正式 market scorecard review，決定是否提出 replay、shadow 或 replacement ADR。",
+            "human_review_required_for": [
+                "高風險主機寫入",
+                "付費 provider 或 token 上限變更",
+                "新 SDK / 新 MCP server / 新 runtime component",
+                "OpenClaw production routing replacement",
+                "Telegram Bot 發送策略變更",
+            ],
+            "agent_auto_allowed_for": [
+                "read-only market watch",
+                "read-only package/version freshness snapshot",
+                "low-risk evidence aggregation",
+                "no-send report draft",
+                "offline deterministic replay fixture preparation",
+            ],
+        },
+    }
+
+
+def render_markdown(payload: dict[str, Any]) -> str:
+    """Render a Traditional Chinese operator report."""
+    summary = payload["summary"]
+    lines = [
+        "# AI Agent 市場雷達與近期變更盤點",
+        "",
+        f"- 產生時間：`{payload['generated_at']}`",
+        f"- 整體治理完成度：`{summary['overall_completion_percent']}%`",
+        f"- 市場雷達完成度：`{summary['market_watch_completion_percent']}%`",
+        f"- 候選 Agent：`{summary['market_candidates']}`",
+        f"- 官方 / 主要來源：`{summary['market_sources']}`",
+        f"- 來源失敗：`{summary['source_failures']}`",
+        f"- 需要重新審查候選：`{summary['changed_candidates']}`",
+        f"- 仍被整合 gate 擋下：`{summary['integration_blocked_candidates']}`",
+        f"- OpenClaw 取代批准：`{summary['replacement_decisions_approved']}`",
+        "",
+        "## 近期變更盤點",
+        "",
+        "| 優先級 | 工作線 | 狀態 | 進度 | 下一步 |",
+        "|---|---|---|---:|---|",
+    ]
+    for item in payload["recent_change_inventory"]:
+        lines.append(
+            f"| `{item['priority']}` | {item['title']} | `{item['status']}` | "
+            f"`{item['completion_percent']}%` | {item['next_gate']} |"
+        )
+
+    lines.extend([
+        "",
+        "## 市場主流做法對齊",
+        "",
+        "| 做法 | AWOOOI 判定 | 下一步 |",
+        "|---|---|---|",
+    ])
+    for practice in payload["market_practice_alignment"]:
+        lines.append(
+            f"| {practice['practice']} | `{practice['awoooi_status']}` | {practice['next_step']} |"
+        )
+
+    lines.extend([
+        "",
+        "## Agent 專業角色安排",
+        "",
+        "| Agent / 候選 | 建議角色 | Gate 狀態 | 下一步 |",
+        "|---|---|---|---|",
+    ])
+    for candidate in payload["candidate_role_plan"]:
+        lines.append(
+            f"| {candidate['display_name']} | {candidate['recommended_role']} | "
+            f"`{candidate['gate_status']}` | {candidate['next_gate']} |"
+        )
+
+    lines.extend([
+        "",
+        "## 優先工作清單",
+        "",
+        "| 順序 | 工作 | 風險 | 自動化模式 | 完成定義 |",
+        "|---:|---|---|---|---|",
+    ])
+    for item in payload["priority_workplan"]:
+        lines.append(
+            f"| {item['order']} | {item['work_item']} | `{item['risk']}` | "
+            f"`{item['automation_mode']}` | {item['done_definition']} |"
+        )
+
+    lines.extend([
+        "",
+        "## 禁止越界",
+        "",
+    ])
+    for gate in payload["blocked_gates"]:
+        lines.append(f"- `{gate}`")
+    lines.append("")
+    return "\n".join(lines)
+
+
+def _require_schema(payload: dict[str, Any], schema_version: str, label: str) -> None:
+    if payload.get("schema_version") != schema_version:
+        raise ValueError(f"{label}: expected {schema_version}")
+
+
+def _recent_change_inventory(status_summary: dict[str, Any]) -> list[dict[str, Any]]:
+    return [
+        {
+            "priority": "P0",
+            "title": "Product Governance Owner Response Dashboard / handoff 收斂",
+            "status": "read_model_ready_runtime_blocked",
+            "completion_percent": 100,
+            "next_gate": "Owner questions 與 boundary acknowledgements 仍需逐項回覆。",
+        },
+        {
+            "priority": "P0",
+            "title": "Status Cleanup Dashboard read-only API 正式化",
+            "status": str(status_summary.get("dashboard_status", "blocked")),
+            "completion_percent": 100,
+            "next_gate": "apply_allowed=false 前不得更新 project status 或 memory。",
+        },
+        {
+            "priority": "P0",
+            "title": "Wazuh / IwoooS 可視性邊界",
+            "status": str(status_summary.get("wazuh_agent_visibility_status", "blocked")),
+            "completion_percent": 35,
+            "next_gate": "等待 manager agent registry readback 與 live route readback。",
+        },
+        {
+            "priority": "P0",
+            "title": "AI Agent market watch 2026-06-25",
+            "status": "market_refresh_done_integration_blocked",
+            "completion_percent": 100,
+            "next_gate": "更新 scorecard 並進入 offline replay gate，不得直接替換。",
+        },
+        {
+            "priority": "P1",
+            "title": "日報 / 週報 / 月報數據化報告",
+            "status": "report_contract_defined_runtime_delivery_blocked",
+            "completion_percent": 65,
+            "next_gate": "接 Agent 工作量、Telegram receipt 與 human-review queue。",
+        },
+        {
+            "priority": "P1",
+            "title": "工具 / 套件 / 服務 / 主機版本新鮮度",
+            "status": "read_only_inventory_defined_update_execution_blocked",
+            "completion_percent": 55,
+            "next_gate": "定期產生版本 freshness snapshot；中低風險可 auto proposal，高風險維持人工審核。",
+        },
+    ]
+
+
+def _market_source_freshness(market_watch: dict[str, Any]) -> list[dict[str, Any]]:
+    interesting = {
+        "openai_agents_sdk_coordinator",
+        "langgraph_incident_kernel",
+        "nemo_nemotron_fabric",
+        "claude_agent_sdk_remediator",
+        "google_adk_stack",
+        "microsoft_agent_framework",
+        "crewai_flows_crews",
+    }
+    rows = []
+    for candidate in market_watch.get("candidates") or []:
+        candidate_id = str(candidate.get("candidate_id", ""))
+        if candidate_id not in interesting:
+            continue
+        versions = [
+            {
+                "source_id": source.get("source_id"),
+                "version": source.get("version"),
+                "published_at": source.get("published_at"),
+                "status": source.get("status"),
+                "changed": bool(source.get("changed_since_reference")),
+            }
+            for source in candidate.get("sources") or []
+        ]
+        rows.append({
+            "candidate_id": candidate_id,
+            "display_name": candidate.get("display_name"),
+            "changed": bool(candidate.get("changed")),
+            "decision": candidate.get("decision"),
+            "versions": versions,
+        })
+    return rows
+
+
+def _market_practice_alignment() -> list[dict[str, Any]]:
+    return [
+        {
+            "practice": "多 Agent handoff / specialist delegation",
+            "source": "https://openai.github.io/openai-agents-python/handoffs/",
+            "awoooi_status": "partially_modeled",
+            "next_step": "將 OpenClaw / Hermes / NemoTron handoff 事件寫入可讀 timeline。",
+        },
+        {
+            "practice": "Tracing / tool call / guardrail observability",
+            "source": "https://openai.github.io/openai-agents-python/tracing/",
+            "awoooi_status": "missing_unified_trace",
+            "next_step": "建立 Agent run trace id，串接報告、Telegram receipt 與 replay outcome。",
+        },
+        {
+            "practice": "Durable execution / persistence / human-in-the-loop",
+            "source": "https://docs.langchain.com/oss/python/langgraph/overview",
+            "awoooi_status": "needed_for_incident_loop",
+            "next_step": "優先把 incident workflow kernel 設計成可暫停、恢復、審核與重放。",
+        },
+        {
+            "practice": "MCP / A2A / enterprise multi-agent interoperability",
+            "source": "https://learn.microsoft.com/en-us/agent-framework/overview/",
+            "awoooi_status": "watch_and_design",
+            "next_step": "MCP server 先做 read-only tool registry，再開 write adapter。",
+        },
+        {
+            "practice": "Evaluation / replay / profiling before integration",
+            "source": "https://docs.nvidia.com/nemo/agent-toolkit/latest/index.html",
+            "awoooi_status": "strong_fit_for_nemotron",
+            "next_step": "NemoTron 維持 smoke / replay / evaluator，不直接接 production routing。",
+        },
+        {
+            "practice": "Agent SDK as programmable code/ops remediator",
+            "source": "https://code.claude.com/docs/en/agent-sdk/overview",
+            "awoooi_status": "candidate_for_remediation_lane",
+            "next_step": "只允許 no-write replay 與 patch proposal，禁止自動 merge / deploy。",
+        },
+        {
+            "practice": "Enterprise-scale ADK with evaluation and observability",
+            "source": "https://docs.cloud.google.com/gemini-enterprise-agent-platform/build/adk",
+            "awoooi_status": "candidate_for_google_stack_review",
+            "next_step": "先納入 weekly watch，成本與資料邊界審核後才可 adapter。",
+        },
+    ]
+
+
+def _candidate_role_plan(governance_snapshot: dict[str, Any]) -> list[dict[str, Any]]:
+    wanted = {
+        "openclaw_incumbent": "生產仲裁者 / production decision core",
+        "nemo_nemotron_fabric": "離線 replay、模型能力評估、合約輸出 smoke gate",
+        "hermes_agent_personal_platform": "知識記憶、證據草稿、長期技能庫候選",
+        "openai_agents_sdk_coordinator": "Coordinator / handoff / tracing / guardrail 候選",
+        "langgraph_incident_kernel": "durable incident workflow kernel 候選",
+        "claude_agent_sdk_remediator": "DevOps / code remediation patch proposal 候選",
+        "microsoft_agent_framework": "MCP / A2A enterprise workflow 候選",
+        "google_adk_stack": "Gemini / Vertex agent stack 候選",
+        "crewai_flows_crews": "快速多 Agent prototype 候選",
+    }
+    statuses = {
+        str(row.get("candidate_id")): row
+        for row in governance_snapshot.get("candidate_statuses") or []
+    }
+    rows = []
+    for candidate_id, role in wanted.items():
+        status = statuses.get(candidate_id, {})
+        rows.append({
+            "candidate_id": candidate_id,
+            "display_name": status.get("display_name") or candidate_id,
+            "recommended_role": role,
+            "gate_status": status.get("gate_status") or "watch_only",
+            "next_gate": status.get("required_next_gate")
+            or "continue_weekly_primary_source_market_watch",
+        })
+    return rows
+
+
+def _priority_workplan() -> list[dict[str, Any]]:
+    return [
+        {
+            "order": 1,
+            "work_item": "固定每週 AI Agent market watch 並產生治理 snapshot",
+            "risk": "low",
+            "automation_mode": "agent_auto_read_only",
+            "done_definition": "每週一 09:00 Asia/Taipei 有 watch / integration / discovery / promotion / governance 五份 artifacts。",
+        },
+        {
+            "order": 2,
+            "work_item": "刷新 2026-06-25 market capability scorecard",
+            "risk": "medium",
+            "automation_mode": "agent_propose_owner_review",
+            "done_definition": "OpenAI / LangGraph / NeMo-Nemotron / Claude / Microsoft / Google / CrewAI 均有新版官方來源與分數差異。",
+        },
+        {
+            "order": 3,
+            "work_item": "建立 50 筆歷史 incident offline replay queue",
+            "risk": "medium",
+            "automation_mode": "agent_auto_prepare_human_approve_run",
+            "done_definition": "replay fixture 不含 secret，候選結果可與 OpenClaw baseline 比較。",
+        },
+        {
+            "order": 4,
+            "work_item": "Agent 溝通 / 學習 / 成長可視化 readback",
+            "risk": "medium",
+            "automation_mode": "agent_auto_read_model",
+            "done_definition": "每個 Agent 的 handoff、decision、learning writeback、review score 與 blocked action 可被前端和報告讀到。",
+        },
+        {
+            "order": 5,
+            "work_item": "Telegram Bot 報告與高風險審核橋接",
+            "risk": "high",
+            "automation_mode": "human_approve_before_send_or_action",
+            "done_definition": "低中風險只告警回報，高風險需要 Telegram approval token / owner response 才能執行。",
+        },
+        {
+            "order": 6,
+            "work_item": "工具、套件、服務、主機版本自動 freshness 盤點",
+            "risk": "medium",
+            "automation_mode": "agent_auto_scan_agent_propose",
+            "done_definition": "套件、服務、主機、MCP、AI provider、模型版本都有 stale / upgrade / rollback / approval gate。",
+        },
+    ]
+
+
+def load_json(path: Path) -> dict[str, Any]:
+    with path.open(encoding="utf-8") as handle:
+        payload = json.load(handle)
+    if not isinstance(payload, dict):
+        raise ValueError(f"{path}: expected JSON object")
+    return payload
+
+
+def main() -> int:
+    parser = argparse.ArgumentParser(description="Build AI Agent market radar readback.")
+    parser.add_argument("--market-watch", required=True)
+    parser.add_argument("--governance-snapshot", required=True)
+    parser.add_argument("--status-cleanup-dashboard", required=True)
+    parser.add_argument("--output", required=True)
+    parser.add_argument("--markdown-output", required=True)
+    args = parser.parse_args()
+
+    payload = build_radar(
+        market_watch=load_json(Path(args.market_watch)),
+        governance_snapshot=load_json(Path(args.governance_snapshot)),
+        status_cleanup_dashboard=load_json(Path(args.status_cleanup_dashboard)),
+    )
+    Path(args.output).write_text(
+        json.dumps(payload, ensure_ascii=False, indent=2, sort_keys=True) + "\n",
+        encoding="utf-8",
+    )
+    markdown = render_markdown(payload)
+    Path(args.markdown_output).write_text(markdown, encoding="utf-8")
+    print(
+        "AI_AGENT_MARKET_RADAR_READBACK_OK "
+        f"overall={payload['summary']['overall_completion_percent']}% "
+        f"candidates={payload['summary']['market_candidates']} "
+        f"sources={payload['summary']['market_sources']} "
+        f"changed={payload['summary']['changed_candidates']} "
+        f"blocked={payload['summary']['integration_blocked_candidates']} "
+        f"replacement={payload['summary']['replacement_decisions_approved']}"
+    )
+    return 0
+
+
+if __name__ == "__main__":
+    raise SystemExit(main())