---
id: gh-agentmemory-mcp-tools
name: "agentmemory-mcp-tools"
url: https://skills.yangsir.net/skill/gh-agentmemory-mcp-tools
author: rohitg00
domain: ai-agent-memory-knowledge
tags: ["ai-agent-memory", "knowledge-management", "tool-mapping", "context-management", "information-retrieval"]
install_count: 9300
rating: 4.50 (120 reviews)
github: https://github.com/rohitg00/agentmemory/tree/main/plugin/skills/agentmemory-mcp-tools
---

# agentmemory-mcp-tools

> 此技能提供 agentmemory 所有 MCP 工具的详细映射，包括其功能和参数。它帮助用户选择合适的记忆工具，明确工具名称或参数，并理解 agentmemory 通过 MCP 能实现的功能。该 Skill 极大地简化了 AI 智能体的记忆管理和知识检索过程，确保了工具的正确高效使用。

**Stats**: 9,300 installs · 4.5/5 (120 reviews)

## Before / After 对比

### 优化 AI 记忆工具选择效率

**Before**:

用户在没有此技能之前，需要手动查阅大量文档，或通过试错来确定 agentmemory 中哪个记忆工具最适合当前任务，并反复核对其参数，这导致了记忆操作的决策时间长，且容易出错。

**After**:

此技能提供了一个清晰的工具映射和参数指南，用户可以迅速定位到最合适的记忆工具，并准确了解其用法。这极大地缩短了工具选择和参数确认的时间，提高了 AI 智能体记忆操作的效率和准确性。

| Metric | Before | After | Change |
|---|---|---|---|
| 工具选择时间 | 30分钟 | 5分钟 | -83% |

## Readme

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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*Source: https://skills.yangsir.net/skill/gh-agentmemory-mcp-tools*
*Markdown mirror: https://skills.yangsir.net/api/skill/gh-agentmemory-mcp-tools/markdown*