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Agent Memory MCP Tools

By rohitg00· rohitg00/agentmemory· 0

Index and reference guide for Agent Memory's MCP tools and parameters.

Installation

  1. Make sure Claude is on your device and in your terminal.

    Skills load from ~/.claude/skills/ when Claude Code starts up — so you need it on your machine first. If you don't have it yet, install it once with the command below, then run claude in any terminal to verify.

    One-time setup
    npm i -g @anthropic-ai/claude-code

    Already have it? Skip ahead.

  2. Paste into Claude Code or into your terminal.
    Install
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    This copies the whole skill folder into ~/.claude/skills/agentmemory-mcp-tools-rohitg00/ — the SKILL.md plus any scripts, reference docs, or templates the skill ships with. Safe default: works for every skill.

    Faster alternative (instruction-only skills)

    Skips the clone and grabs only the SKILL.md file. Don't use this if the skill ships Python scripts, reference markdowns, or asset templates — they won't be downloaded and the skill will fail when it tries to load them.

    Quick install (SKILL.md only)
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  3. Restart Claude Code.

    Quit and reopen Claude Code (or any other agent that loads from ~/.claude/skills/). New skills are picked up on startup.

  4. Just ask Claude.

    Skills auto-activate when your request matches the skill's description — no slash command needed. Trigger phrases live in the skill's own frontmatter; you can read them in the “What this skill does” section above.

Prefer to read the source first? Open on GitHub.

When Claude uses it

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.

What this skill does

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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