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agentmemory-mcp-tools

by @rohitg00v
4.5(120)

This skill provides a detailed map of all agentmemory MCP tools, outlining their functions and parameters. It assists users in selecting the appropriate memory tool, clarifying tool names or arguments, and understanding what agentmemory can achieve via MCP. This Skill significantly streamlines AI agent memory management and knowledge retrieval, ensuring correct and efficient tool utilization.

ai-agent-memoryknowledge-managementtool-mappingcontext-managementinformation-retrievalGitHub
Installation
npx skills add https://github.com/rohitg00/agentmemory --skill agentmemory-mcp-tools
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Before / After Comparison

1
Before

Without this skill, users had to manually sift through extensive documentation or resort to trial-and-error to identify the most suitable agentmemory tool for a given task and verify its parameters. This resulted in prolonged decision-making for memory operations and increased error rates.

After

This skill provides a clear tool map and parameter guide, allowing users to quickly pinpoint the most appropriate memory tool and understand its usage accurately. This significantly reduces the time spent on tool selection and parameter confirmation, enhancing the efficiency and accuracy of AI agent memory operations.

SKILL.md

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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Statistics

Installs9.3K
Rating4.5 / 5.0
Version
Updated2026年9月19日
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Compatible Platforms

🤖claude-code

Timeline

Created2026年6月25日
Last Updated2026年9月19日
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