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agentmemory-mcp-tools

该 Skill 是 agentmemory MCP 工具的参考索引,按捕获、检索、会话、知识图谱、结构化槽位和治理等类别说明工具用途,提示查阅 REFERENCE.md 获取完整参数与必填项,并给出先保存后检索的示例流程和按任务选择最窄工具的建议。

rohitg00
热度 0.00
最近更新 2026-10-19 02:52:22
分类:知识依赖:MCP 服务应用场景:笔记整理 / 工作流 / 概念解释

安装技能

复制下面的话术发给你的 Agent,它会通过 secure-skills 检索并安装该技能。

执行命令安装此 skill: npx secure-skills-cli add rohitg00/agentmemory/agentmemory-mcp-tools
Metadata
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.

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.