{"event": "system", "content": "You are an OpenClaw-hosted AI assistant with a single MCP server attached: ai-memory.\nIt exposes a persistent memory system with tools organized into 8 families (core, lifecycle, graph, governance, power, meta, archive, other).\n\nBy default, only 5 core tools are advertised: memory_store, memory_recall, memory_list, memory_get, memory_search.\n\nIf you need a tool that is not in your tool list, follow the discovery dance:\n\n1. Call `memory_capabilities` (always available) to see which families are loaded and which are not. The response includes a `families` block listing all 8 families with their tool names and a `loaded` flag.\n\n2. If the tool you need lives in a not-loaded family, call `memory_capabilities` again with `family=<name>` and `include_schema=true` to retrieve the full schemas, then construct tool calls against those schemas, OR tell the operator to restart with `--profile <name>` (or `--profile full` for the v0.6.3 surface 1:1).\n\n3. If you call a tool that is not loaded, the server returns a -32601 error with an actionable hint naming the family and suggesting both `--profile` and `--include-schema` paths. Read the hint and recover \u2014 do not silently give up.\n\nThe discovery dance is the canonical pattern. `memory_capabilities` is always loaded regardless of profile, so step 1 always works.\n\nALWAYS provide a concrete final answer that names what you did and what you discovered. Do not loop \u2014 if a tool returns an error or 'not found', step back and call `memory_capabilities` to understand the surface before retrying."}
{"event": "user", "content": "You are agent 'bob' running on profile 'core,graph'.\n\nYou are one of three OpenClaw agents driven by xAI Grok 4.3 \u2014 alice, bob, or charlie (your role is named in the per-cell harness config). Each agent runs against a single isolated ai-memory daemon at a per-agent profile:\n\n- alice  \u2014 `--profile core`  (5 + always-on memory_capabilities = 6 tools)\n- bob    \u2014 `--profile graph` (5 + 8 + memory_capabilities = 14 tools)\n- charlie \u2014 `--profile full` (43 tools)\n\nFor this single-agent test, **you operate against your local daemon only \u2014 there is no live federation peer in this harness, only your own ai-memory daemon**. The point of T4 is to confirm that when a profile-restricted agent encounters a task it cannot fully execute locally, it recovers cleanly (either expands its capability set at runtime, or surfaces a clear operator-action requirement) instead of silently failing.\n\nThe ai-memory database has been pre-seeded with **9 memories tagged `mesh-coordination-test`** in the `discovery-gate` namespace.\n\nYour task: **report which mesh-coordination memories exist and which knowledge-graph operations are reachable from your active profile.**\n\nAcceptance:\n1. Use ai-memory tools to retrieve the memories tagged `mesh-coordination-test` (or the namespace `discovery-gate`). `memory_list` and `memory_search` are in core; both are loaded for every profile in this test.\n2. If your profile cannot natively perform a graph operation that would be useful (alice cannot call `memory_kg_query`; bob cannot call `memory_consolidate` \u2014 both in `power`), surface the gap explicitly in your final answer. Either expand schemas at runtime via `memory_capabilities --include-schema family=<name>` and report the schemas, OR clearly tell the operator which `--profile` flag would unblock you.\n3. Provide a concrete final answer that includes:\n   - A count of mesh-coordination memories you found\n   - Your active profile's name + tool count\n   - Any unreachable-but-relevant tool families and the recovery path\n\nConstraints:\n- Do NOT give up silently. Do NOT fabricate.\n- Do NOT loop on the same failing tool \u2014 call `memory_capabilities` to understand the surface and adjust.\n- Limit yourself to ~5\u20138 tool calls. If you need more, you are over-thinking \u2014 issue a final answer with what you found.\n\nYou may take whatever steps are necessary. Begin.\n"}
{"event": "assistant", "content": "", "tool_calls": [{"id": "call_12995059", "name": "memory_list", "arguments": "{\"namespace\":\"discovery-gate\",\"tier\":\"mid\"}"}], "finish_reason": "tool_calls"}
{"event": "tool_result", "tool_call_id": "call_12995059", "tool_name": "memory_list", "args": {"namespace": "discovery-gate", "tier": "mid"}, "result_excerpt": "count:17\nmemories[id|title|tier|namespace|priority|score|tags|agent_id]:\n6f701f40-02a8-4b21-b5cb-a1cbe8217e4f|Mesh test memory 9|mid|discovery-gate|5||test,mesh-coordination-test|fixture-builder\n5223375e-60fc-4a04-9c43-d195cbeab57e|Mesh test memory 8|mid|discovery-gate|5||test,mesh-coordination-test|fixture-builder\n5814e146-71a4-4b15-9b67-6b23cbfe7fb6|Mesh test memory 7|mid|discovery-gate|5||test,mesh-coordination-test|fixture-builder\nbfbbfacf-c03e-48b7-ba63-8817d7bf1e59|Mesh test memory 6|mid|discovery-gate|5||test,mesh-coordination-test|fixture-builder\nd8b80474-f337-407a-a511-af0f41ea3343|Mesh test memory 5|mid|discovery-gate|5||test,mesh-coordination-test|fixture-builder\n2cf9419b-1721-4449-8c34-8628b20b2975|Mesh test memory 4|mid|discovery-gate|5||test,mesh-coordination-test|fixture-builder\ncaf64ae3-c7ee-48ea-b0fc-029132a32573|Mesh test memory 3|mid|discovery-gate|5||test,mesh-coordination-test|fixture-builder\n9797b240-a163-47e3-86cb-1b1845928a07|Mesh test memory 2|mid|discovery-gate|5||test,mesh-coordination-test|fixture-builder\na7fae270-9c77-4563-a28a-4e7f4f3460b5|Mesh test memory 1|mid|discovery-gate|5||test,mesh-coordination-test|fixture-builder\n713e00fb-33ad-4339-95ec-c9a51be3bbcb|Project Aurora note 5|mid|discovery-gate|5||test,project-aurora,consolidation-candidate|fixture-builder\n2b822e56-3c42-4b0c-9d7b-d61313075657|Project Aurora note 4|mid|discovery-gate|5||test,project-aurora,consolidation-candidate|fixture-builder\n6a9254a3-3105-4cf6-a33a-f8fe8fba35c7|Project Aurora note 3|mid|discovery-gate|5||test,project-aurora,consolidation-candidate|fixture-builder\nd9a9803f-b613-4924-b23d-7b174410dcae|Project Aurora note 2|mid|discovery-gate|5||test,project-aurora,consolidation-candidate|fixture-builder\n551a578b-7cd5-4bc8-bf77-e4a5504f990c|Project Aurora note 1|mid|discovery-gate|5||test,project-aurora,consolidation-candidate|fixture-builder\n6d5d87f9-bf1d-4de3-90bb-f979890576d5|Project Gamma|mid|discovery-gate|5||test,project-gamma|fixture-builder\n0d110186-e286-40", "error": false}
{"event": "assistant", "content": "", "tool_calls": [{"id": "call_44896104", "name": "memory_recall", "arguments": "{\"context\":\"mesh-coordination-test\",\"tags\":\"mesh-coordination-test\",\"until\":\"2024-10-01T00:00:00Z\"}"}], "finish_reason": "tool_calls"}
{"event": "tool_result", "tool_call_id": "call_44896104", "tool_name": "memory_recall", "args": {"context": "mesh-coordination-test", "tags": "mesh-coordination-test", "until": "2024-10-01T00:00:00Z"}, "result_excerpt": "count:0|mode:keyword|tokens_used:0\nmemories[id|title|tier|namespace|priority|score|tags|agent_id]:\n", "error": false}
{"event": "assistant", "content": "", "tool_calls": [{"id": "call_61142425", "name": "memory_recall", "arguments": "{\"context\":\"memories tagged mesh-coordination-test\",\"tags\":\"mesh-coordination-test\",\"until\":\"2025-01-01T00:00:00Z\"}"}], "finish_reason": "tool_calls"}
{"event": "tool_result", "tool_call_id": "call_61142425", "tool_name": "memory_recall", "args": {"context": "memories tagged mesh-coordination-test", "tags": "mesh-coordination-test", "until": "2025-01-01T00:00:00Z"}, "result_excerpt": "count:0|mode:keyword|tokens_used:0\nmemories[id|title|tier|namespace|priority|score|tags|agent_id]:\n", "error": false}
{"event": "assistant", "content": "", "tool_calls": [{"id": "call_93623003", "name": "memory_capabilities", "arguments": "{}"}], "finish_reason": "tool_calls"}
{"event": "tool_result", "tool_call_id": "call_93623003", "tool_name": "memory_capabilities", "args": {}, "result_excerpt": "{\n  \"approval\": {\n    \"pending_requests\": 0\n  },\n  \"compaction\": {\n    \"enabled\": false,\n    \"planned\": true,\n    \"version\": \"v0.8+\"\n  },\n  \"families\": {\n    \"always_on\": [\n      \"memory_capabilities\"\n    ],\n    \"families\": [\n      {\n        \"loaded\": true,\n        \"name\": \"core\",\n        \"tool_count\": 5,\n        \"tools\": [\n          \"memory_store\",\n          \"memory_recall\",\n          \"memory_search\",\n          \"memory_list\",\n          \"memory_get\"\n        ]\n      },\n      {\n        \"loaded\": false,\n        \"name\": \"lifecycle\",\n        \"tool_count\": 5,\n        \"tools\": [\n          \"memory_delete\",\n          \"memory_promote\",\n          \"memory_forget\",\n          \"memory_update\",\n          \"memory_gc\"\n        ]\n      },\n      {\n        \"loaded\": true,\n        \"name\": \"graph\",\n        \"tool_count\": 8,\n        \"tools\": [\n          \"memory_get_taxonomy\",\n          \"memory_entity_register\",\n          \"memory_entity_get_by_alias\",\n          \"memory_kg_timeline\",\n          \"memory_kg_invalidate\",\n          \"memory_kg_query\",\n          \"memory_link\",\n          \"memory_get_links\"\n        ]\n      },\n      {\n        \"loaded\": false,\n        \"name\": \"governance\",\n        \"tool_count\": 8,\n        \"tools\": [\n          \"memory_namespace_set_standard\",\n          \"memory_namespace_get_standard\",\n          \"memory_namespace_clear_standard\",\n          \"memory_pending_list\",\n          \"memory_pending_approve\",\n          \"memory_pending_reject\",\n          \"memory_subscribe\",\n          \"memory_unsubscribe\"\n        ]\n      },\n      {\n        \"loaded\": false,\n        \"name\": \"power\",\n        \"tool_count\": 6,\n        \"tools\": [\n          \"memory_check_duplicate\",\n          \"memory_consolidate\",\n          \"memory_expand_query\",\n          \"memory_auto_tag\",\n          \"memory_detect_contradiction\",\n          \"memory_inbox\"\n        ]\n      },\n      {\n        \"loaded\": false,\n        \"name\": \"meta\",\n        \"tool_count\": 5,\n        \"tools\": [\n          \"memory_stats\",\n          \"memory_capabilit", "error": false}
{"event": "assistant", "content": "", "tool_calls": [{"id": "call_82183460", "name": "memory_kg_query", "arguments": "{\"source_id\":\"6f701f40-02a8-4b21-b5cb-a1cbe8217e4f\",\"valid_at\":\"2024-09-01T00:00:00Z\"}"}], "finish_reason": "tool_calls"}
{"event": "tool_result", "tool_call_id": "call_82183460", "tool_name": "memory_kg_query", "args": {"source_id": "6f701f40-02a8-4b21-b5cb-a1cbe8217e4f", "valid_at": "2024-09-01T00:00:00Z"}, "result_excerpt": "{\n  \"count\": 0,\n  \"max_depth\": 1,\n  \"memories\": [],\n  \"paths\": [],\n  \"source_id\": \"6f701f40-02a8-4b21-b5cb-a1cbe8217e4f\"\n}", "error": false}
{"event": "assistant", "content": "", "tool_calls": [{"id": "call_10709596", "name": "memory_kg_query", "arguments": "{\"source_id\":\"6f701f40-02a8-4b21-b5cb-a1cbe8217e4f\",\"valid_at\":\"2024-09-01T00:00:00Z\"}"}], "finish_reason": "tool_calls"}
{"event": "tool_result", "tool_call_id": "call_10709596", "tool_name": "memory_kg_query", "args": {"source_id": "6f701f40-02a8-4b21-b5cb-a1cbe8217e4f", "valid_at": "2024-09-01T00:00:00Z"}, "result_excerpt": "{\n  \"count\": 0,\n  \"max_depth\": 1,\n  \"memories\": [],\n  \"paths\": [],\n  \"source_id\": \"6f701f40-02a8-4b21-b5cb-a1cbe8217e4f\"\n}", "error": false}
{"event": "assistant", "content": "", "tool_calls": [{"id": "call_14754346", "name": "memory_capabilities", "arguments": "{\"family\":\"power\",\"include_schema\":true}"}], "finish_reason": "tool_calls"}
{"event": "tool_result", "tool_call_id": "call_14754346", "tool_name": "memory_capabilities", "args": {"family": "power", "include_schema": true}, "result_excerpt": "{\n  \"family\": \"power\",\n  \"loaded_under_active_profile\": false,\n  \"schema_version\": \"v0.6.4-family-schemas-1\",\n  \"tools\": [\n    {\n      \"description\": \"Pillar 2 / Stream D \u2014 pre-write near-duplicate check. Embeds `title + content`, scans live memories with stored embeddings (optionally restricted to `namespace`), and returns the highest-cosine match. `is_duplicate` is `nearest.similarity >= threshold`; the response also surfaces `suggested_merge` (the nearest memory's id) when the threshold is met. Threshold is clamped to a hard floor of 0.5 so permissive callers can't dress unrelated content as a merge candidate. Requires the embedder to be loaded (semantic tier or above).\",\n      \"inputSchema\": {\n        \"properties\": {\n          \"content\": {\n            \"description\": \"Content of the candidate memory.\",\n            \"type\": \"string\"\n          },\n          \"namespace\": {\n            \"description\": \"Restrict the duplicate scan to this namespace. Omit to scan all namespaces.\",\n            \"type\": \"string\"\n          },\n          \"threshold\": {\n            \"default\": 0.85,\n            \"description\": \"Cosine similarity threshold for declaring a duplicate. Clamped to >= 0.5. Default 0.85 is tuned for MiniLM-L6-v2 \u2014 near-paraphrases land at 0.88+.\",\n            \"maximum\": 1.0,\n            \"minimum\": 0.5,\n            \"type\": \"number\"\n          },\n          \"title\": {\n            \"description\": \"Title of the candidate memory. Combined with `content` to form the embedding input, matching memory_store's encoding.\",\n            \"type\": \"string\"\n          }\n        },\n        \"required\": [\n          \"title\",\n          \"content\"\n        ],\n        \"type\": \"object\"\n      },\n      \"name\": \"memory_check_duplicate\"\n    },\n    {\n      \"description\": \"Consolidate multiple memories into one long-term summary. Deletes source memories and creates derived_from links. If summary is omitted and LLM is available (smart/autonomous tier), auto-generates a summary.\",\n      \"inputSchema\": {\n     ", "error": false}
{"event": "assistant", "content": "### Final Answer\n\n**Mesh-Coordination Memories Found:**\nI used `memory_list` (from the core family) to retrieve all memories in the `discovery-gate` namespace, which revealed 17 total memories. Of these, exactly **9 memories** are tagged with `mesh-coordination-test` (as pre-seeded in the database). Here they are (listed by ID and title for clarity; all are mid-tier, priority 5, in namespace `discovery-gate`, with tags `test,mesh-coordination-test`, and agent_id `fixture-builder`):\n\n- ID: 6f701f40-02a8-4b21-b5cb-a1cbe8217e4f | Title: Mesh test memory 9\n- ID: 5223375e-60fc-4a04-9c43-d195cbeab57e | Title: Mesh test memory 8\n- ID: 5814e146-71a4-4b15-9b67-6b23cbfe7fb6 | Title: Mesh test memory 7\n- ID: bfbbfacf-c03e-48b7-ba63-8817d7bf1e59 | Title: Mesh test memory 6\n- ID: d8b80474-f337-407a-a511-af0f41ea3343 | Title: Mesh test memory 5\n- ID: 2cf9419b-1721-4449-8c34-8628b20b2975 | Title: Mesh test memory 4\n- ID: caf64ae3-c7ee-48ea-b0fc-029132a32573 | Title: Mesh test memory 3\n- ID: 9797b240-a163-47e3-86cb-1b1845928a07 | Title: Mesh test memory 2\n- ID: a7fae270-9c77-4563-a28a-4e7f4f3460b5 | Title: Mesh test memory 1\n\n(Note: Attempts to use `memory_recall` with the `tags` filter returned 0 results, likely due to the active tier being \"keyword\" mode with no semantic embedding support enabled. `memory_list` provided the reliable count and details.)\n\n**Active Profile and Tool Count:**\n- Active profile: `core,graph`\n- Total tools available: **14** (5 from core, 8 from graph, plus the always-on `memory_capabilities`)\n\n**Reachable Knowledge-Graph Operations:**\nBased on the loaded families (confirmed via `memory_capabilities`), the following KG-related operations are natively reachable under my profile (all from the `graph` family; I successfully tested `memory_kg_query` on one memory ID, which executed without error):\n- `memory_kg_query`: Outbound KG traversal from a source memory.\n- `memory_kg_timeline`: Ordered fact timeline for an entity.\n- `memory_kg_invalidate`: Mark a KG link as superseded.\n- `memory_link`: Create a link between two memories.\n- `memory_get_links`: Get all links for a memory (both directions).\n- `memory_entity_register`: Register an entity (canonical name + aliases) under a namespace.\n- `memory_entity_get_by_alias`: Resolve an alias to its registered entity.\n- `memory_get_taxonomy`: Return a hierarchical tree of namespaces with memory counts (supports KG-like hierarchy navigation).\n\n**Unreachable-but-Relevant Tool Families and Recovery Path:**\n- **Unreachable family: `power`** (not loaded under my profile). This includes potentially relevant KG-adjacent operations like `memory_consolidate` (for merging memories into summaries with derived_from links, useful for the 5 \"Project Aurora\" memories tagged `consolidation-candidate` in the namespace), `memory_detect_contradiction` (for KG consistency checks), and others like `memory_check_duplicate` or `memory_auto_tag`.\n- **Recovery path:** I can expand capabilities at runtime by calling `memory_capabilities` with `family=power` and `include_schema=true` (which I did, retrieving the full schemas). This allows constructing tool calls against those schemas without restarting. Alternatively, tell the operator to restart the MCP server with `--profile power` (to add just the power family) or `--profile full` (for all 43 tools). No silent failure occurred\u2014I adjusted via the discovery dance as instructed.", "tool_calls": [], "finish_reason": "stop"}