MCPInstall

agentmemory-mcp-tools

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.

Installs
11K
Last 24h
+49
Trending rank
#3417
Security
Fail

Install

Works with every agent the skills CLI supports.

npx skills add https://github.com/rohitg00/agentmemory --skill agentmemory-mcp-tools
  1. 01

    Install

    Run the command in your project. The CLI asks which agents to install for.

  2. 02

    Describe the task

    Ask your agent for something this skill covers. It loads agentmemory-mcp-tools automatically when relevant.

  3. 03

    Review the result

    The agent follows the SKILL.md steps, scripts and references bundled with the skill.

Security audits

Independent scans of the skill's instructions and bundled files.

Gen Agent Trust Hub FailHIGH ·The skill provides a comprehensive index of the agentmemory MCP toolset. It contains high-risk instructions directing the agent to read sensitive credential files from the local filesystem if environment variables are not found. Additionally, the skill's primary function—managing external observations and memories—presents a significant surface for indirect prompt injection attacks.
Socket PassNo alerts
Snyk WarnMEDIUM ·Risk: MEDIUM · 1 issue

SKILL.md

The instructions your agent reads when the skill is triggered.

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. For Pi and OMP, connect with --with-mcp to enable the broader workflows. Pi exposes MCP names with an mcp__agentmemory__ prefix; OMP exposes MCP operations as xd://mcp__agentmemory_<tool> devices through its write tool.

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.

FAQ

What does the agentmemory-mcp-tools skill do?

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.

How do I install agentmemory-mcp-tools?

Run npx skills add https://github.com/rohitg00/agentmemory --skill agentmemory-mcp-tools in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/agentmemory-mcp-tools/ (personal) or .claude/skills/agentmemory-mcp-tools/ (project).

Which AI agents can use agentmemory-mcp-tools?

Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.

Is agentmemory-mcp-tools safe to install?

Security partners have reviewed it: Gen Agent Trust Hub flagged risks; Socket passed; Snyk flagged items to review. As with any skill, read the SKILL.md and bundled scripts before installing.

Who maintains agentmemory-mcp-tools?

It is published by rohitg00 in rohitg00/agentmemory. It has 10,958 recorded installs.

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