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agentmemory-mcp-tools

Map of every agentmemory MCP tool, what each does, and its parameters. Use when choosing which memory tool to call, when a tool name or argument is unclear, or when answering what agentmemory can do via MCP.

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Repository
rohitg00/agentmemory
Letzte Quellaktivität
25. Oktober 2026 um 11:40
Erkannte Sprache von SKILL.md
Englisch
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29.991
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2.649

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SKILL.md
Quellanweisungen · Schreibgeschützte Vorschau
name
agentmemory-mcp-tools
description
Map of every agentmemory MCP tool, what each does, and its parameters. Use when choosing which memory tool to call, when a tool name or argument is unclear, or when answering what agentmemory can do via MCP.
user-invocable
false
This skill indexes agentmemory's MCP tools. Use the connected server's tool inventory and schemas; a native memory provider may expose a smaller set under different names. Hermes and OpenClaw skills that need the full surface require a separate MCP connection to the running daemon. For Pi and OMP, connect with `--with-mcp` to enable the broader workflows. Pi exposes MCP names with an `mcp__agentmemory__` prefix; OMP exposes MCP operations as `xd://mcp__agentmemory_<tool>` devices through its `write` tool. ## Quick start Save then recall: 1. `memory_save` with `content` (the insight), `concepts` (comma-separated keywords), `files` (comma-separated paths). 2. `memory_smart_search` with `query`, `limit`, and `targetLayer: "memory"` to retrieve saved knowledge later. Omit `targetLayer` to also search captured observations. This runs hybrid BM25 plus vector plus graph-expanded search. ## Tool families - Capture: `memory_save`, `memory_compress_file`. Automatic observations use native hooks or `POST /agentmemory/observe`, not an MCP observation tool. - Retrieve: `memory_smart_search`, `memory_recall`, `memory_file_history`, `memory_timeline`, `memory_vision_search`. - Sessions and commits: `memory_sessions`, `memory_commits`, `memory_commit_lookup`. - Knowledge and graph: `memory_lesson_save`, `memory_lesson_recall`, `memory_graph_query`, `memory_relations`, `memory_patterns`, `memory_crystallize`. - Structured slots: `memory_slot_create`, `memory_slot_append`, `memory_slot_get`, `memory_slot_list`, `memory_slot_replace`, `memory_slot_delete`. - Governance and health: `memory_governance_delete`, `memory_audit`, `memory_verify`, `memory_heal`, `memory_diagnose`. ## Workflow 1. Pick the narrowest tool for the task. Prefer `memory_smart_search` for open recall, `memory_recall` when you already have a focused query, `memory_sessions` for session listings. 2. Look up exact parameter names and which are required in REFERENCE.md before calling. 3. Pass only documented fields. REST handlers whitelist fields and drop unknown ones. 4. For budgeted `memory_recall`, distinguish `matched_count: 0` from `excluded_by_budget > 0`. Expand clipped or omitted IDs with `memory_smart_search` and `expandIds`, preserving the same scope filters. ## See also - agentmemory-rest-api for the HTTP equivalents. - agentmemory-config for tool-visibility and feature flags. - The user-invocable action skills (remember, recall, recap, handoff, forget) wrap the most common tools. ## Reference Full tool table with parameters and the core-set marking lives in REFERENCE.md, generated from source so it never drifts.
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