Agent skill

Remember

by ThinkfleetAI in ThinkfleetAI/memmesh

Store a memory in MemMesh from the user's input. An agent skill from ThinkfleetAI/memmesh.

Apache-2.0Auto-check passed

Install Remember

skills CLI
$ npx skills add ThinkfleetAI/memmesh --skill remember -a claude-code

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

GitHub CLI
$ gh skill install ThinkfleetAI/memmesh remember --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/ThinkfleetAI/memmesh.git skills-src && mkdir -p .claude/skills && cp -r skills-src/integrations/memmesh-plugin/skills/remember .claude/skills/remember && 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
remember
GitHub stars
419
Token cost
~407 tokens
SKILL.md length
120 words
Files
1
Skills in repo
24
Repo updated
First seen
Licence
Apache-2.0

At a glance

Store a memory in MemMesh from the user's input. An agent skill from ThinkfleetAI/memmesh.

  • The user says remember this
  • SKILL.md covers Default: observe (let the…, Verbatim: save (rare) and After saving
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
  • Explicitly asks to record a decision

What it does

Remember is an agent skill from ThinkfleetAI/memmesh. Store a memory in MemMesh from the user's input. Prefers memoryobserve (the engine decides what to extract) and falls back to memorysave only for verbatim/structured notes. Use when the user says "remember this", "save this", "note that", "from now on", "we decided", or explicitly asks to record a decision, preference, convention, or learning.

Its SKILL.md is about 410 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

The repository describes itself as: Persistent, self-improving memory for AI agents. Local-first Rust memory engine with MCP support. The licence is Apache-2.0.

When your agent uses it

  • The user says remember this
  • Explicitly asks to record a decision

Example prompts

  • “remember this”
  • “save this”
  • “note that”
  • “/remember”

What it can do on your machine

Read from SKILL.md and the folder at commit bba48f8. 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 (its code samples are jsonc).

    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

Remember loads about 407 tokens when it runs. Until then it costs about 89 tokens; SKILL.md has 120 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~89
When it runs · the whole SKILL.md, loaded when a task matches
~407

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 ThinkfleetAI/memmesh at commit bba48f8, republished under its Apache-2.0 licence (© ThinkfleetAI). 120 words, ~407 tokens.

Download SKILL.mdSave it as .claude/skills/remember/SKILL.md (or your agent's skills folder).
name
remember
description
Store a memory in MemMesh from the user's input. Prefers memory_observe (the engine decides what to extract) and falls back to memory_save only for verbatim/structured notes. Use when the user says "remember this", "save this", "note that", "from now on", "we decided", or explicitly asks to record a decision, preference, convention, or learning.

remember

Persist something the user asked you to keep.

Default: observe (let the engine extract)

For almost everything, call memory_observe with the user's raw statement. The engine runs deterministic extraction and saves what's memorable — you don't judge.

jsonc
{ "name": "memory_observe",
  "arguments": { "text": "<the user's exact statement>", "role": "user",
                 "projectId": "<git repo name or null>", "userId": "<OS user>" } }

Verbatim: save (rare)

Only when the user says "save this exactly / verbatim" or you have structured data the extractor would mangle, use memory_save with an explicit id, type, and scope:

jsonc
{ "name": "memory_save",
  "arguments": { "id": "<21+ char id>", "platformId": "local", "type": "preference",
                 "scope": "user", "content": "prefers pnpm over npm" } }

Pick scope: user (personal preference/identity), project (a repo's rule/ decision/fact), else let the engine default.

After saving

Briefly confirm what was stored and at which scope, so the user can correct it. If they're changing an existing fact, see the pin/correction note: observe the new statement and let the engine supersede — don't delete.

© ThinkfleetAI, 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

Just SKILL.md in integrations/memmesh-plugin/skills/remember of ThinkfleetAI/memmesh.

Open the folder on GitHubat commit bba48f8

Compare with similar skills

Remember 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.

Remember compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Remember this skillThinkfleetAI/memmesh419—~407Automated safety check: PassApache-2.0
Mem0 Remembermem0ai/mem067k—~410Automated safety check: PassApache-2.0
Agent App Storeruvnet/ruflo74k3 repos~1kAutomated safety check: PassMIT
App Store Optimizationalirezarezvani/claude-skills28k1 repos~4.2kAutomated safety check: PassMIT
Remembergithub/awesome-copilot40k1 repos~1.6kAutomated safety check: PassMIT
Rememberalirezarezvani/claude-skills28k1 repos~784Automated safety check: PassMIT

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  • Mem0 Remember

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  • Context Loader

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    Load relevant MemMesh context before starting work — searches memory and, for a specific subject, assembles a token-budgeted bundle (profile + behavior patterns + forward predictions + top memories)…

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  • Graph

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    Query MemMesh's bi-temporal knowledge graph — multi-hop reasoning across entities, point-in-time "what did we believe on date X", and anticipatory retrieval via spreading activation.

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  • Memmesh CLI

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  • Memmesh SDK

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    MemMesh TypeScript SDK reference (@thinkfleet/memory-sdk) for the hosted platform at app.memmesh.ai.

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Questions about Remember

What does Remember do?

Store a memory in MemMesh from the user's input. An agent skill from ThinkfleetAI/memmesh. Remember is an agent skill from ThinkfleetAI/memmesh. Store a memory in MemMesh from the user's input.

When should I use Remember?

Remember fits situations like: the user says remember this; explicitly asks to record a decision.

How do I install Remember in Claude Code?

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

How do I install Remember in Codex?

Run `npx skills add ThinkfleetAI/memmesh --skill remember -a codex`. Or copy the skill folder (integrations/memmesh-plugin/skills/remember in ThinkfleetAI/memmesh) into .agents/skills/remember in your project. Codex loads it when a task matches its description.

Can I use Remember 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 ThinkfleetAI/memmesh --skill remember -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/remember, .gemini/skills/remember, .github/skills/remember and .opencode/skills/remember in your project.

What does Remember need to run?

SKILL.md names no scripts, command-line tools or credentials: Remember is instructions for the agent only.

Does Remember 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 Remember 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 Remember use?

Remember 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 Remember use?

About 407 tokens (SKILL.md is roughly 1.6k 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 Remember?

Skills that share tags, products or a category with Remember: Mem0 Remember (mem0ai/mem0, 67k stars), Agent App Store (ruvnet/ruflo, 74k stars), App Store Optimization (alirezarezvani/claude-skills, 28k stars) and Remember (github/awesome-copilot, 40k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Remember?

ThinkfleetAI (a GitHub organization) maintains it in ThinkfleetAI/memmesh, which has 419 GitHub stars. The repository holds 24 skills in this directory. The repository was last updated on August 25, 2026.

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