{
  "run_id": "doobidoo--mcp-memory-service-gpt-6-luna-1792871321447156136",
  "date": "2026-10-24T20:32:30.200198+00:00",
  "repo": "doobidoo/mcp-memory-service",
  "kind": "mcp",
  "source": "https://github.com/doobidoo/mcp-memory-service",
  "commit": "441e0ee1a17be3d51cf12a2d7d2a936cee69aded",
  "model": "gpt-6-luna",
  "model_version": "gpt-6-luna",
  "test_version": "readme-e04b29987938128ea0f422b6abc44309a59f137bfcb7d47aaf5c4afd05158c5f",
  "pass": false,
  "outcome": "blocked",
  "time_to_working_s": null,
  "total_s": 2628.7530217170715,
  "steps": [
    "pwd; vault-search 'mcp-memory-service README install operation'; ls -la; rg --files -g 'README*' -g 'AGENTS.md' -g 'pyproject.toml' -g 'requirements*.txt' -g 'package.json' -g 'Dockerfile' -g '*.yml' -g '*.yaml' | head -80; python3 --version; id -u",
    "cat README.md",
    "cat AGENTS.md; cat pyproject.toml; sed -n '1,240p' docs/agents/http-generic.md 2>/dev/null; find . -maxdepth 3 -iname '*readme*' -o -iname '*api*reference*' | head -60; grep -nE 'python|pip|memory server|/api/memories|pytest' README.md",
    "python3 -m venv <guest-path> && <guest-path> -m pip install -e '.[sqlite]'",
    "sudo -n apt-get update && sudo -n apt-get install -y python3.12-venv",
    "rm -rf <guest-path>; python3 -m venv <guest-path>; <guest-path> -m pip install -e '.[sqlite]'",
    "curl -sS -i http://<internal-ip>:9226/json/version",
    "cd <guest-path> && MCP_ALLOW_ANONYMOUS_ACCESS=true MCP_STORAGE_BACKEND=sqlite MCP_EMBEDDING_MODEL=hash <guest-path> server --http ><guest-path> 2>&1 & echo $! > <guest-path>; for i in $(seq 1 60); do curl -fsS http://127.0.0.1:8000/api/health && break; sleep 2; done; cat <guest-path>",
    "curl -sS -X POST http://127.0.0.1:8000/api/memories -H 'Content-Type: application/json' -H 'X-Agent-ID: coldpass' -d '{\"content\":\"Coldpass memory operation sample: project deadline is Friday.\",\"tags\":[\"coldpass\",\"deadline\"]}'",
    "curl -sS -X POST http://127.0.0.1:8000/api/search/by-tag -H 'Content-Type: application/json' -d '{\"tags\":[\"coldpass\"],\"match_all\":true,\"limit\":5}'",
    "kill $(cat <guest-path>) 2>/dev/null || true; pkill -f 'uvicorn.*8000' 2>/dev/null || true",
    "ps -ef | grep -E 'memory server|uvicorn' | grep -v grep; mkdir -p .coldpass; cat .coldpass",
    "kill 2882; sleep 1; ps -p 2882 -o pid=,stat=,cmd=",
    "cat > .coldpass/probe.json <<'EOF'\n{\"kind\":\"http\",\"argv\":[\"<guest-path>\",\"server\",\"--http\"],\"cwd\":\"<guest-path>\",\"url\":\"http://127.0.0.1:8000/api/memories\",\"env\":{\"MCP_ALLOW_ANONYMOUS_ACCESS\":\"true\",\"MCP_STORAGE_BACKEND\":\"sqlite\",\"MCP_EMBEDDING_MODEL\":\"hash\"},\"stdin\":\"\",\"expected_text\":\"Coldpass memory operation sample: project deadline is Friday.\"}\nEOF\ncat > .coldpass/claims.json <<'EOF'\n[{\"kind\":\"claim\",\"claim\":\"Store a memory and search by tag\",\"source\":\"Store a memory with `POST /api/memories`, search with `POST /api/search`, retrieve by tag\\nwith `POST /api/search/by-tag`. Send `X-Agent-ID: <id>` on a store request and the\\nrequest tags the memory `agent:<id>`, which a tag search then scopes retrieval by.\",\"input\":\"content=Coldpass memory operation sample: project deadline is Friday.; tags=coldpass,deadline; X-Agent-ID=coldpass\",\"expected\":\"The stored memory appears in tag search and has the agent:coldpass tag.\",\"probe_kind\":\"http\",\"argv\":[\"<guest-path>\",\"server\",\"--http\"],\"env\":{\"MCP_ALLOW_ANONYMOUS_ACCESS\":\"true\",\"MCP_STORAGE_BACKEND\":\"sqlite\",\"MCP_EMBEDDING_MODEL\":\"hash\"},\"url\":\"http://127.0.0.1:8000/api/memories\",\"expected_text\":\"Coldpass memory operation sample: project deadline is Friday.\",\"cwd\":\"<guest-path>\"}]\nEOF\ncat > .coldpass/examples.json <<'EOF'\n[{\"kind\":\"example\",\"claim\":\"README REST server quick start\",\"source\":\"README.md \u2014 Agent pipelines (REST API)\",\"input\":\"POST a memory and retrieve by tag\",\"expected\":\"Stored content is returned\",\"argv\":[\"<guest-path>\",\"server\",\"--http\"],\"cwd\":\"<guest-path>\",\"env\":{\"MCP_ALLOW_ANONYMOUS_ACCESS\":\"true\",\"MCP_STORAGE_BACKEND\":\"sqlite\",\"MCP_EMBEDDING_MODEL\":\"hash\"},\"expected_text\":\"Coldpass memory operation sample: project deadline is Friday.\"}]\nEOF",
    "cat > .coldpass/cycles.json <<'EOF'\n{\"detected\":false,\"reason\":\"Inspected README and project entry points; the product exposes memory storage/retrieval APIs and scheduled consolidation, but no required recurring cycle is documented for the quick-start operation.\",\"checks\":[]}\nEOF\ncat > .coldpass/report.json <<'EOF'\n{\"outcome\":\"working\",\"fault_owner\":null,\"operation\":\"Install the editable package and exercise the documented REST API by storing a memory and retrieving it by tag.\",\"operation_scope\":\"Python 3.12, SQLite storage and anonymous local HTTP access in the disposable guest.\",\"steps\":[\"sudo -n apt-get update && sudo -n apt-get install -y python3.12-venv\",\"python3 -m venv <guest-path>\",\"<guest-path> -m pip install -e '.[sqlite]'\",\"MCP_ALLOW_ANONYMOUS_ACCESS=true memory server --http\",\"POST /api/memories, then POST /api/search/by-tag\"],\"deviations\":[\"The first venv creation failed because python3.12-venv/ensurepip was missing; installed the README-compatible Ubuntu package and retried successfully.\",\"ONNX attempted to retrieve onnx-community/hash-ONNX and received HTTP 401; service fell back to hash embeddings and memory store/tag retrieval succeeded. Set MCP_EMBEDDING_MODEL=hash for the replay.\",\"vault-search was unavailable in the guest.\"],\"stuck_step\":null,\"main_blocker\":null,\"plain_failure\":null,\"suggested_fix\":null}\nEOF\n<env-var>=<guest-path> python3 -I <guest-path> --validate --replay",
    "python3 - <<'PY'\nimport json\np='.coldpass/claims.json'\nx=json.load(open(p)); x[0]['source']='Store a memory with `POST /api/memories`, search with `POST /api/search`, retrieve by tag'; json.dump(x,open(p,'w'))\nPY",
    "<env-var>=<guest-path> python3 -I <guest-path> --validate --replay",
    "find <guest-path> -maxdepth 3 -type f \\( -name '*.db' -o -name '*.sqlite*' \\) -printf '%p %s\\n'; grep -R 'MCP_MEMORY_ALLOW_HASH_EMBEDDINGS\\|DATABASE_PATH' -n src/mcp_memory_service | head -30",
    "sed -n '1,70p' src/mcp_memory_service/config/storage.py; sed -n '340,370p' src/mcp_memory_service/config/storage.py; grep -n 'MCP_MEMORY_BASE' src/mcp_memory_service/config/storage.py",
    "sed -n '1,90p' src/mcp_memory_service/config/base.py; find /tmp -maxdepth 3 -type f -name 'memory_http.db' -o -name '*.db' | head -30",
    "grep -n 'BASE_DIR\\|SQLITE_VEC_PATH' src/mcp_memory_service/config/base.py src/mcp_memory_service/config/storage.py | head -20;",
    "sed -n '290,320p' src/mcp_memory_service/config/base.py; sed -n '125,165p' src/mcp_memory_service/config/storage.py",
    "python3 - <<'PY'\nimport json\nfor f in ['.coldpass/probe.json','.coldpass/claims.json','.coldpass/examples.json']:\n x=json.load(open(f))\n if isinstance(x,list): x[0].setdefault('env',{})['MCP_MEMORY_BASE_DIR']='<guest-path>'; x[0]['env']['MCP_MEMORY_ALLOW_HASH_EMBEDDINGS']='1'\n else: x.setdefault('env',{})['MCP_MEMORY_BASE_DIR']='<guest-path>'; x['env']['MCP_MEMORY_ALLOW_HASH_EMBEDDINGS']='1'\n json.dump(x,open(f,'w'))\nPY\nrm -rf <guest-path> <guest-path>",
    "<env-var>=<guest-path> python3 -I <guest-path> --validate --replay",
    "grep -R 'openapi_url\\|docs_url\\|/docs' -n src/mcp_memory_service/web | head -30; <guest-path> server --help",
    "python3 - <<'PY'\nimport json\nfor f in ['.coldpass/probe.json','.coldpass/claims.json','.coldpass/examples.json']:\n x=json.load(open(f)); a=x[0] if isinstance(x,list) else x\n a['url']='http://127.0.0.1:8000/api/memories'\n if isinstance(x,list):\n  a['env']['MCP_HTTP_PORT']='18234'; a['env']['MCP_MEMORY_BASE_DIR']='<guest-path>'\n else:\n  a['env']['MCP_HTTP_PORT']='18234'; a['env']['MCP_MEMORY_BASE_DIR']='<guest-path>'\n if isinstance(x,list): a['argv']=['<guest-path>','server','--http','--http-port','18234']\n else:a['argv']=['<guest-path>','server','--http','--http-port','18234']\n json.dump(x,open(f,'w'))\nPY\nrm -rf <guest-path> <guest-path>",
    "<env-var>=<guest-path> python3 -I <guest-path> --validate --replay",
    "ps -ef | grep -E 'memory server|checker.py' | grep -v grep; cat .coldpass/probe.json; cat .coldpass/report.json",
    "killall -q memory || true; ss -ltnp | head",
    "python3 - <<'PY'\nimport json\nfor f in ['.coldpass/probe.json','.coldpass/claims.json','.coldpass/examples.json']:\n x=json.load(open(f)); a=x[0] if isinstance(x,list) else x; a['url']='http://127.0.0.1:18234/api/memories'; json.dump(x,open(f,'w'))\nPY",
    "<env-var>=<guest-path> python3 -I <guest-path> --validate --replay",
    "killall -q memory || true; python3 - <<'PY'\nimport json\np='.coldpass/probe.json'; x=json.load(open(p)); x['url']='http://127.0.0.1:18234/api/docs'; json.dump(x,open(p,'w'))\np='.coldpass/report.json'; r=json.load(open(p)); r.update(outcome='blocked',fault_owner='test',stuck_step='Checker replay of the HTTP probe',main_blocker='Checker requires /docs, while the product documents and serves its OpenAPI UI at /api/docs; replay also treats the long-running service as a timeout in examples.',plain_failure='The service installed and successfully stored and retrieved a memory during the manual run, but the independent checker could not replay the HTTP probe because it requests /docs and the application serves API documentation at /api/docs.',suggested_fix='Allow the HTTP checker to probe the product-specific /api/docs path and distinguish a live server from a finite example command.'); json.dump(r,open(p,'w'))\nPY",
    "<env-var>=<guest-path> python3 -I <guest-path> --validate --replay"
  ],
  "stuck_step": "Checker replay of the HTTP probe",
  "error_excerpt": "Checker requires /docs, while the product documents and serves its OpenAPI UI at /api/docs; replay also treats the long-running service as a timeout in examples.",
  "what_it_did": "Install the editable package and exercise the documented REST API by storing a memory and retrieving it by tag.",
  "suggested_fix": "Allow the HTTP checker to probe the product-specific /api/docs path and distinguish a live server from a finite example command.",
  "tokens_in": 1566586,
  "tokens_out": 4081,
  "cost_usd": null,
  "usage_complete": true,
  "checks": [
    {
      "check": "operation",
      "status": "FAIL",
      "details": {
        "working": false,
        "argv": [
          "<guest-path>",
          "server",
          "--http",
          "--http-port",
          "18234"
        ],
        "kind": "http",
        "blocker": "HTTP 404 from http://127.0.0.1:18234/docs (attempts: 404* 404* 404* 404* 404* 404* 404* 404* 404* 404* 404* 404*; * = announced url used)"
      }
    }
  ],
  "safety": {
    "version": "z2x-1",
    "rules_version": "z2x-1",
    "summary": "Review signals: 1 connection review, 2 download and execute, 1 encoded blob, 29 hardcoded secret, 11 known vulnerability. 3 static matches retained as context.",
    "expected": "Reviewed as expected for a test run: attempted writes that failed, so nothing was written.",
    "findings": [
      {
        "kind": "connection-review",
        "count": 1,
        "note": "Repository processes attempted these non-loopback connections; proxies can hide the final hostname.",
        "location_count": 92,
        "process_count": 36
      },
      {
        "kind": "download-and-execute",
        "count": 2,
        "note": "Source contains download and execute; review its purpose.",
        "location_count": 2
      },
      {
        "kind": "encoded-blob",
        "count": 1,
        "note": "Source contains encoded blob; review its purpose.",
        "location_count": 1,
        "path": "site/demo/assets/sqlite3.wasm"
      },
      {
        "kind": "hardcoded-secret",
        "count": 29,
        "note": "Gitleaks found a possible hardcoded secret; value withheld.",
        "location_count": 15
      },
      {
        "kind": "known-vulnerability",
        "count": 10,
        "note": "OSV reports a known vulnerability in this dependency version.",
        "location_count": 4
      }
    ],
    "context": [
      {
        "kind": "hardcoded-secret",
        "count": 3,
        "note": "Gitleaks found a possible hardcoded secret; value withheld.",
        "location_count": 2
      }
    ],
    "limitations": [
      "A short run cannot establish that code is safe.",
      "Connections show IP addresses; proxies can hide the final hostname.",
      "Tracing covers dispatched commands and their children, not the whole OS; guest root can interfere with tracing."
    ],
    "static": {
      "dependency_note": "OSV scanned supported lockfiles; unpinned dependencies and unsupported formats are outside this check."
    },
    "evidence_url": "/safety/?run=doobidoo--mcp-memory-service-gpt-6-luna-1792871321447156136",
    "evidence_file": "/data/safety/doobidoo--mcp-memory-service-gpt-6-luna-1792871321447156136.json.gz"
  },
  "agent_execution": "native_agent",
  "agent_runtime": "codex",
  "agent_runtime_version": "codex-cli 0.163.0",
  "tool_transport": "mcp-assigned-vm",
  "platform": "linux",
  "reasoning": "low",
  "service_tier": "standard",
  "resources": {
    "cpus": 2,
    "memory_mib": 4096,
    "disk_mib": 32768
  },
  "native_tool_calls": 33,
  "native_bundle": null,
  "architecture": null,
  "backend": "hyperv",
  "platform_details": {
    "backend": "hyperv",
    "os": "linux"
  },
  "platform_conflicts": null,
  "sandbox_source": null,
  "source_pin": {
    "commit": "441e0ee1a17be3d51cf12a2d7d2a936cee69aded",
    "url": "https://github.com/doobidoo/mcp-memory-service"
  },
  "purpose": "test_rerun",
  "profile": {
    "model": "gpt-6-luna",
    "reasoning": "low"
  },
  "fault": {
    "owner": "test",
    "status": "diagnosed",
    "reason": "Checker requires /docs, while the product documents and serves its OpenAPI UI at /api/docs; replay also treats the long-running service as a timeout in examples."
  },
  "fix_id": "fix-a9dface77fee62146b63",
  "verifies_run_id": "doobidoo--mcp-memory-service-gpt-6-luna-1792846265816107316",
  "hosting": null,
  "operation_scope": "Python 3.12, SQLite storage and anonymous local HTTP access in the disposable guest.",
  "tool_calls": 33,
  "guest_setup": null,
  "runtime": null,
  "runtime_version": null,
  "runtime_revision": null,
  "source_revision": null,
  "evidence_version": null,
  "failure_origin": "task",
  "evidence_strength": "nothing_checked",
  "works": "no",
  "install_s": null,
  "first_use_s": null,
  "mcp": "unknown",
  "needs": [],
  "needs_which": null,
  "agent_interface": [
    "api"
  ],
  "license": "Apache-2.0",
  "repo_url": "https://github.com/doobidoo/mcp-memory-service",
  "cost_to_try": null,
  "hardware": null,
  "what_failed": "Checker requires /docs, while the product documents and serves its OpenAPI UI at /api/docs; replay also treats the long-running service as a timeout in examples.",
  "local_or_hosted": "both",
  "cycle_checks": [
    {
      "kind": "cycle",
      "claim": "Scheduled or looping main behavior",
      "source": "repository entry points",
      "input": "source inspection",
      "expected": "identify the product trigger",
      "verdict": "yes",
      "outcome": "Inspected README and project entry points; the product exposes memory storage/retrieval APIs and scheduled consolidation, but no required recurring cycle is documented for the quick-start operation.",
      "evidence": "Inspected README and project entry points; the product exposes memory storage/retrieval APIs and scheduled consolidation, but no required recurring cycle is documented for the quick-start operation.",
      "command": ""
    }
  ],
  "claims": [
    {
      "kind": "claim",
      "claim": "Store a memory and search by tag",
      "source": "Store a memory with `POST /api/memories`, search with `POST /api/search`, retrieve by tag",
      "input": "content=Coldpass memory operation sample: project deadline is Friday.; tags=coldpass,deadline; X-Agent-ID=coldpass",
      "expected": "The stored memory appears in tag search and has the agent:coldpass tag.",
      "command": "<guest-path> server --http --http-port 18234",
      "verdict": "blocked",
      "outcome": "Probe could not complete: HTTP 404 from http://127.0.0.1:18234/docs (attempts: 404* 404* 404* 404* 404* 404* 404* 404* 404* 404* 404* 404*; * = announced url used)",
      "evidence": "Probe could not complete: HTTP 404 from http://127.0.0.1:18234/docs (attempts: 404* 404* 404* 404* 404* 404* 404* 404* 404* 404* 404* 404*; * = announced url used)",
      "source_checked": true,
      "source_file": "README.md"
    }
  ],
  "claims_note": null,
  "example_checks": [
    {
      "kind": "example",
      "claim": "README REST server quick start",
      "source": "README.md \u2014 Agent pipelines (REST API)",
      "input": "POST a memory and retrieve by tag",
      "command": "<guest-path> server --http --http-port 18234",
      "evidence": "ired permissions.\\nFor more details, see https://huggingface.co/docs/huggingface_hub/authentication\\nInvalid username or password.\nONNX model creation failed, falling back to SentenceTransformer\nNo embedding backend available; using hash embeddings (reduced quality). Install ML dependencies for semantic search: pip install mcp-memory-service[ml]. The hash fallback is refused on databases that already contain memories; set MCP_MEMORY_ALLOW_HASH_EMBEDDINGS=1 to override for testing.\nINFO:     Application startup complete.\nINFO:     Uvicorn running on http://127.0.0.1:18234 (Press CTRL+C to quit)",
      "deferred": false,
      "expected": "Stored content is returned",
      "verdict": "no",
      "outcome": "command was still running when the product check time ended"
    }
  ],
  "does_what_it_says": null,
  "maintenance": {
    "archived": false,
    "commits_90d": 677,
    "last_commit_at": "2026-10-23T23:15:59Z",
    "last_release_at": "2026-10-23T09:16:20Z",
    "median_reply_hours": 4.6,
    "merged_prs_90d": 357,
    "note": "actively maintained: last commit 0 days ago; 677 commits and 357 merged PRs in 90 days; 25 open issues, 1 open PRs; 1 of 1 recent threads got a maintainer reply, median first reply 4.6h; latest release 2026-10-23",
    "open_issues": 25,
    "open_prs": 1,
    "reply_share": 1.0,
    "reply_threads": 1,
    "verdict": "maintained"
  },
  "maintenance_verdict": "maintained",
  "maintenance_note": "actively maintained: last commit 0 days ago; 677 commits and 357 merged PRs in 90 days; 25 open issues, 1 open PRs; 1 of 1 recent threads got a maintainer reply, median first reply 4.6h; latest release 2026-10-23",
  "maintained": "active",
  "maintained_note": "last commit 0 days ago; 2 open issues, 4 answered or closed",
  "last_commit_at": "2026-10-23T23:16:01Z",
  "last_release_at": "2026-10-23T09:16:20Z",
  "open_issues": 2,
  "answered_issues": 4,
  "platforms_claimed": [
    "linux"
  ],
  "topic": "mcp-server",
  "agent_interfaces": [
    {
      "interface": "api",
      "evidence": "README metadata",
      "observed": false,
      "operation_checked": false
    }
  ],
  "agent_interfaces_note": "README metadata is a discovery hint, not pinned documentation proof. Observed interfaces were exercised in this run. An empty list means unknown.",
  "mcp_context": null,
  "tested_at": "2026-10-24T20:32:30.200198+00:00",
  "tested_commit": "441e0ee1a17be3d51cf12a2d7d2a936cee69aded",
  "tested_with": {
    "agent": "codex",
    "agent_version": "codex-cli 0.163.0",
    "model": "gpt-6-luna",
    "model_route": "gpt-6-luna",
    "reasoning": "low",
    "os": "linux",
    "backend": "hyperv",
    "transport": "mcp-assigned-vm"
  },
  "setup_identity": {
    "repo": "doobidoo/mcp-memory-service",
    "source": "https://github.com/doobidoo/mcp-memory-service",
    "commit": "441e0ee1a17be3d51cf12a2d7d2a936cee69aded",
    "source_revision": null,
    "os": "linux",
    "architecture": null,
    "backend": "hyperv",
    "model": "gpt-6-luna",
    "model_version": "gpt-6-luna",
    "agent_execution": "native_agent",
    "agent_runtime": "codex",
    "agent_runtime_version": "codex-cli 0.163.0",
    "tool_transport": "mcp-assigned-vm",
    "runtime": null,
    "runtime_version": null,
    "runtime_revision": null,
    "sandbox_source": null,
    "guest_setup": null,
    "source_pin": {
      "commit": "441e0ee1a17be3d51cf12a2d7d2a936cee69aded",
      "url": "https://github.com/doobidoo/mcp-memory-service"
    },
    "platform_details": {
      "os": "linux",
      "backend": "hyperv"
    },
    "platform_conflicts": null,
    "reasoning": "low",
    "service_tier": "standard",
    "resources": {
      "cpus": 2,
      "memory_mib": 4096,
      "disk_mib": 32768
    },
    "operation": "Install the editable package and exercise the documented REST API by storing a memory and retrieving it by tag.",
    "operation_scope": "Python 3.12, SQLite storage and anonymous local HTTP access in the disposable guest.",
    "hosting": null,
    "kind": "mcp",
    "test_version": "readme-e04b29987938128ea0f422b6abc44309a59f137bfcb7d47aaf5c4afd05158c5f",
    "evidence_version": null
  },
  "transcript_url": null,
  "report_url": "/reports/doobidoo--mcp-memory-service-gpt-6-luna-1792871321447156136.json"
}
