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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.

From plugin
agentmemory
27k15 skills2 commands1 MCP
Install
$ npx -y skills add rohitg00/agentmemory --skill agentmemory-mcp-tools --agent claude-code

How it fires

How this skill gets triggered: by you, by Claude, or both.

  • Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
  • You can call itInvoke it directly when you want it.
  • Slash command/agentmemory-mcp-tools

Context preview

The summary Claude sees to decide when to auto-load this skill.

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.

SKILL.md

agentmemory-mcp-tools.SKILL.md
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

agentmemory exposes its full capability set as MCP tools. This skill is the index: it tells you which tool to reach for and where to find exact parameters.

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` and `limit` to retrieve it later. This runs hybrid BM25 plus vector plus graph-expanded search.

Tool families

  • Capture: `memory_save`, `memory_observe` flows, `memory_compress_file`.
  • 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.

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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