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Agent skill

agentmemory MCP Tools

by rohitg00 in rohitg00/agentmemory

Indexes agentmemory's MCP tools by purpose, with a save-then-recall quick start and a reference file listing exact parameters.

Apache-2.0Auto-check passedAgent Workflows

Install agentmemory MCP Tools

skills CLI
$ npx skills add rohitg00/agentmemory --skill agentmemory-mcp-tools -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install rohitg00/agentmemory agentmemory-mcp-tools --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/rohitg00/agentmemory.git skills-src && mkdir -p .claude/skills && cp -r skills-src/plugin/skills/agentmemory-mcp-tools .claude/skills/agentmemory-mcp-tools && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
agentmemory-mcp-tools
GitHub stars
29k
Token cost
~545 tokens
SKILL.md length
208 words
Files
2
Skills in repo
17
Repo updated
First seen
Licence
Apache-2.0

At a glance

Indexes agentmemory's MCP tools by purpose, with a save-then-recall quick start and a reference file listing exact parameters.

  • Works in 2 steps: memory_save with content (the insight),… → memory_smart_search with query and limit…
  • Choosing between memory_smart_search, memory_recall and memory_sessions
  • SKILL.md covers Quick start, Tool families, Workflow and See also, plus 1 more section
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Use this as a map of the MCP tools agentmemory exposes, so the agent reaches for the right one. The families are capture (`memory_save`, `memory_compress_file`), retrieval (`memory_smart_search`, `memory_recall`, `memory_file_history`, `memory_timeline`), sessions and commits, knowledge and graph queries, structured slots, and governance and health checks such as `memory_audit` and `memory_heal`.

The quick start saves an insight with `memory_save`, passing the content, comma-separated concepts and file paths, then retrieves it with `memory_smart_search`, which runs BM25, vector and graph-expanded search together. Advice is to pick the narrowest tool, check exact parameter names in `REFERENCE.md` before calling, and pass only documented fields, since REST handlers drop unknown ones. HTTP equivalents and feature flags are covered by sibling agentmemory skills.

When your agent uses it

  • Choosing between memory_smart_search, memory_recall and memory_sessions
  • Looking up a memory tool's name or required arguments
  • Finding out what agentmemory can do through MCP

Example prompts

  • “Save this debugging insight to agentmemory, tagged with the auth concepts and the files involved.”
  • “Which agentmemory tool lists my past sessions?”
  • “Search agentmemory for earlier decisions about the retry logic and return five results.”

Requirements

  • An agentmemory server connected as an MCP server

Workflow steps

2 steps, taken from the first numbered list in SKILL.md.

  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.

What it can do on your machine

Read from SKILL.md and the folder at commit 007a1a7. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

agentmemory MCP Tools loads about 545 tokens when it runs. Until then it costs about 57 tokens; SKILL.md has 208 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~57
When it runs · the whole SKILL.md, loaded when a task matches
~545

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from rohitg00/agentmemory at commit 007a1a7, republished under its Apache-2.0 licence (© rohitg00). 208 words, ~545 tokens.

Download SKILL.mdSave it as .claude/skills/agentmemory-mcp-tools/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
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

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.

© rohitg00, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 1 other file in plugin/skills/agentmemory-mcp-tools of rohitg00/agentmemory.

  • SKILL.md
  • REFERENCE.md

Open the folder on GitHubat commit 007a1a7

Compare with similar skills

agentmemory MCP Tools next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

agentmemory MCP Tools compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
agentmemory MCP Tools this skillrohitg00/agentmemory29k—~545Automated safety check: PassApache-2.0
MemPalace Setup and OperationMemPalace/mempalace59k—~2.2kAutomated safety check: PassMIT
Qmdbreferrari/obsidian-mind4.9k—~1.7kAutomated safety check: PassMIT
Memori MCP Memory UsageMemoriLabs/Memori17k—~3.8kAutomated safety check: PassMIT
Shared Agent Knowledge Commonsmozilla-ai/cq1.3k—~6.5kAutomated safety check: PassApache-2.0
Agent RecallGoldentrii/AgentRecall-X371—~5.2kAutomated safety check: NotesMIT

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More from rohitg00/agentmemory

All 17 skills in this repo

  • agentmemory Setup and Diagnostics

    rohitg00/agentmemory

    Sets up and troubleshoots a local agentmemory install, covering the MCP connection, environment variables, ports, authentication and optional feature flags.

    29k GitHub stars~1k tokensUpdated 2 days ago
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  • Commit Context Lookup

    rohitg00/agentmemory

    Traces a file, function or line back to the agent session behind its current commit, using git blame and a memory lookup, and reports only what the records show.

    29k GitHub stars~522 tokensUpdated 2 days ago
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  • Agent Commit History

    rohitg00/agentmemory

    Lists recent git commits linked to agent sessions, filterable by branch, repository or a result limit, showing the session id and observation count behind each one.

    29k GitHub stars~524 tokensUpdated 2 days ago
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  • Agentmemory Forget

    rohitg00/agentmemory

    Deletes chosen memories from agentmemory only after showing the matches and getting an explicit yes, for privacy requests and cleanup of outdated notes.

    29k GitHub stars~612 tokensUpdated 2 days ago
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  • Session Handoff Resume

    rohitg00/agentmemory

    Resumes the most recent agent session for the current directory, leading with any question left unanswered and ending with a concrete next step.

    29k GitHub stars~678 tokensUpdated 2 days ago
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  • Lesson Memory Recorder

    rohitg00/agentmemory

    Distills a user correction or hard-won rule into a confidence-weighted lesson that resurfaces automatically before similar future work.

    29k GitHub stars~721 tokensUpdated 2 days ago
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Works with

Categories

Questions about agentmemory MCP Tools

What does agentmemory MCP Tools do?

Indexes agentmemory's MCP tools by purpose, with a save-then-recall quick start and a reference file listing exact parameters. Use this as a map of the MCP tools agentmemory exposes, so the agent reaches for the right one. The families are capture (`memory_save`, `memory_compress_file`), retrieval (`memory_smart_search`, `memory_recall`, `memory_file_history`, `memory_timeline`), sessions and commits, knowledge and graph queries, structured slots, and governance and health checks such as `memory_audit` and `memory_heal`.

When should I use agentmemory MCP Tools?

agentmemory MCP Tools fits situations like: choosing between memory_smart_search, memory_recall and memory_sessions; looking up a memory tool's name or required arguments; finding out what agentmemory can do through MCP.

How do I install agentmemory MCP Tools in Claude Code?

Run `npx skills add rohitg00/agentmemory --skill agentmemory-mcp-tools -a claude-code`. Or copy the skill folder (plugin/skills/agentmemory-mcp-tools in rohitg00/agentmemory) into .claude/skills/agentmemory-mcp-tools in your project. Claude Code loads it when a task matches its description.

How do I install agentmemory MCP Tools in Codex?

Run `npx skills add rohitg00/agentmemory --skill agentmemory-mcp-tools -a codex`. Or copy the skill folder (plugin/skills/agentmemory-mcp-tools in rohitg00/agentmemory) into .agents/skills/agentmemory-mcp-tools in your project. Codex loads it when a task matches its description.

Can I use agentmemory MCP Tools in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add rohitg00/agentmemory --skill agentmemory-mcp-tools -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/agentmemory-mcp-tools, .gemini/skills/agentmemory-mcp-tools, .github/skills/agentmemory-mcp-tools and .opencode/skills/agentmemory-mcp-tools in your project.

What does agentmemory MCP Tools need to run?

SKILL.md names no scripts, command-line tools or credentials: agentmemory MCP Tools is instructions for the agent only. Our summary lists: An agentmemory server connected as an MCP server.

Does agentmemory MCP Tools access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is agentmemory MCP Tools safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does agentmemory MCP Tools use?

agentmemory MCP Tools is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does agentmemory MCP Tools use?

About 545 tokens (SKILL.md is roughly 2.2k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to agentmemory MCP Tools?

Skills that share tags, products or a category with agentmemory MCP Tools: MemPalace Setup and Operation (MemPalace/mempalace, 59k stars), Qmd (breferrari/obsidian-mind, 4.9k stars), Memori MCP Memory Usage (MemoriLabs/Memori, 17k stars) and Shared Agent Knowledge Commons (mozilla-ai/cq, 1.3k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains agentmemory MCP Tools?

rohitg00 (a GitHub user) maintains it in rohitg00/agentmemory, which has 29,222 GitHub stars. The repository holds 17 skills in this directory. The repository was last updated on October 6, 2026.

Source: rohitg00/agentmemory on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.