agentmemory-mcp-tools

Agent Skills › rohitg00/agentmemory › agentmemory-mcp-tools

agentmemory-mcp-tools

GitHub

提供 agentmemory MCP 工具的索引与参数说明，指导智能体选择正确的记忆保存、检索及治理工具，确保调用合规。

plugin/skills/agentmemory-mcp-tools/SKILL.md rohitg00/agentmemory

Trigger Scenarios

需要保存或检索记忆时不确定具体 MCP 工具名称或参数时

Install

npx skills add rohitg00/agentmemory --skill agentmemory-mcp-tools -g -y

More Options

Non-standard path

npx skills add https://github.com/rohitg00/agentmemory/tree/main/plugin/skills/agentmemory-mcp-tools -g -y

Use without installing

npx skills use rohitg00/agentmemory@agentmemory-mcp-tools

指定 Agent (Claude Code)

npx skills add rohitg00/agentmemory --skill agentmemory-mcp-tools -a claude-code -g -y

安装 repo 全部 skill

npx skills add rohitg00/agentmemory --all -g -y

预览 repo 内 skill

npx skills add rohitg00/agentmemory --list

SKILL.md

Frontmatter

{
    "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:

memory_save with content (the insight), concepts (comma-separated keywords), files (comma-separated paths).
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

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.
Look up exact parameter names and which are required in REFERENCE.md before calling.
Pass only documented fields. REST handlers whitelist fields and drop unknown ones.
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.