{"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 'alice' running on profile 'core'.\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_38698891", "name": "memory_capabilities", "arguments": "{}"}, {"id": "call_22281223", "name": "memory_list", "arguments": "{\"namespace\":\"discovery-gate\",\"tier\":\"mid\"}"}], "finish_reason": "tool_calls"}
{"event": "tool_result", "tool_call_id": "call_38698891", "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\": false,\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_capabili", "error": false}
{"event": "tool_result", "tool_call_id": "call_22281223", "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_82129666", "name": "memory_capabilities", "arguments": "{\"family\":\"graph\",\"include_schema\":true}"}], "finish_reason": "tool_calls"}
{"event": "tool_result", "tool_call_id": "call_82129666", "tool_name": "memory_capabilities", "args": {"family": "graph", "include_schema": true}, "result_excerpt": "{\n  \"family\": \"graph\",\n  \"loaded_under_active_profile\": false,\n  \"schema_version\": \"v0.6.4-family-schemas-1\",\n  \"tools\": [\n    {\n      \"description\": \"Pillar 1 / Stream A \u2014 return a hierarchical tree of namespaces with memory counts. Walks the `/`-delimited namespace paths grouped from live memories (expired rows excluded). Each node carries `count` (memories at exactly that namespace) and `subtree_count` (count plus all descendants visible within `depth`); the response also exposes `total_count` for the prefix and a `truncated` flag set when `limit` forced rows to be dropped from the tree.\",\n      \"inputSchema\": {\n        \"properties\": {\n          \"depth\": {\n            \"default\": 8,\n            \"description\": \"Max levels to descend below the prefix. Memories deeper than this still contribute to `subtree_count` of the boundary ancestor.\",\n            \"maximum\": 8,\n            \"minimum\": 0,\n            \"type\": \"integer\"\n          },\n          \"limit\": {\n            \"default\": 1000,\n            \"description\": \"Cap on `(namespace, count)` rows walked when assembling the tree. Densest namespaces win when truncated.\",\n            \"maximum\": 10000,\n            \"minimum\": 1,\n            \"type\": \"integer\"\n          },\n          \"namespace_prefix\": {\n            \"description\": \"Restrict the tree to memories at this namespace OR any descendant. Omit to walk the full tree. Trailing '/' is tolerated.\",\n            \"type\": \"string\"\n          }\n        },\n        \"type\": \"object\"\n      },\n      \"name\": \"memory_get_taxonomy\"\n    },\n    {\n      \"description\": \"Pillar 2 / Stream B \u2014 register an entity (canonical name + aliases) under a namespace. Entities are stored as long-tier memories tagged 'entity' with metadata.kind='entity', so the (title, namespace) coordinate is shared with regular memories without ambiguity. Idempotent: re-registering the same canonical_name+namespace reuses the existing entity_id and merges any new aliases. Errors when the namespace+canonical_name alread", "error": false}
{"event": "assistant", "content": "### Final Report on Mesh-Coordination Memories and Knowledge-Graph Operations\n\n**Mesh-Coordination Memories Found:**\nI used `memory_list` to retrieve memories in the `discovery-gate` namespace (all appear to be in the 'mid' tier). This returned 17 memories total, of which 9 are explicitly tagged with `mesh-coordination-test` (as pre-seeded in the database). These are the mesh-coordination memories that exist:\n\n- Mesh test memory 1 (ID: a7fae270-9c77-4563-a28a-4e7f4f3460b5)\n- Mesh test memory 2 (ID: 9797b240-a163-47e3-86cb-1b1845928a07)\n- Mesh test memory 3 (ID: caf64ae3-c7ee-48ea-b0fc-029132a32573)\n- Mesh test memory 4 (ID: 2cf9419b-1721-4449-8c34-8628b20b2975)\n- Mesh test memory 5 (ID: d8b80474-f337-407a-a511-af0f41ea3343)\n- Mesh test memory 6 (ID: bfbbfacf-c03e-48b7-ba63-8817d7bf1e59)\n- Mesh test memory 7 (ID: 5814e146-71a4-4b15-9b67-6b23cbfe7fb6)\n- Mesh test memory 8 (ID: 5223375e-60fc-4a04-9c43-d195cbeab57e)\n- Mesh test memory 9 (ID: 6f701f40-02a8-4b21-b5cb-a1cbe8217e4f)\n\n**Count of Mesh-Coordination Memories:** 9\n\n**Active Profile and Tool Count:**\n- Active profile: core\n- Tool count: 6 (core family: memory_store, memory_recall, memory_search, memory_list, memory_get; plus always-on memory_capabilities)\n\n**Unreachable-but-Relevant Tool Families and Recovery Path:**\n- The \"graph\" family contains knowledge-graph operations (e.g., memory_kg_query, memory_link, memory_get_links, memory_entity_register, memory_kg_timeline, etc.), which are not natively loaded under the 'core' profile.\n- These are unreachable natively but can be made reachable via runtime expansion.\n- Recovery path: I already demonstrated expansion by calling `memory_capabilities` with `family=graph` and `include_schema=true`, which returned the full schemas for all 8 graph tools. You can now construct and call these tools directly using the retrieved schemas. Alternatively, restart the ai-memory daemon with `--profile graph` (loads core + graph) or `--profile full` (loads all 43 tools) to make them natively available without expansion.\n\nI discovered this by first calling `memory_capabilities` (no params) to confirm only the core family is loaded, then expanding the graph family schemas. No errors or loops occurred; all operations stayed within the core profile's native tools plus the discovery dance.", "tool_calls": [], "finish_reason": "stop"}