Mem0 Remember
mem0ai/mem0
Stores a fact, preference or lesson verbatim in Mem0 through /mem0-remember and files it under a category such as preferences, decisions or goals.
Store a memory in MemMesh from the user's input. An agent skill from ThinkfleetAI/memmesh.
$ npx skills add ThinkfleetAI/memmesh --skill remember -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install ThinkfleetAI/memmesh remember --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ 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-srcUse ~/.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/
Install the "remember" agent skill from https://github.com/ThinkfleetAI/memmesh/tree/main/integrations/memmesh-plugin/skills/remember into .claude/skills/remember/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "remember", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/ThinkfleetAI/memmesh/tree/main/integrations/memmesh-plugin/skills/rememberType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add ThinkfleetAI/memmesh --skill remember -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install ThinkfleetAI/memmesh remember --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ThinkfleetAI/memmesh.git skills-src && mkdir -p .agents/skills && cp -r skills-src/integrations/memmesh-plugin/skills/remember .agents/skills/remember && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "remember" agent skill from https://github.com/ThinkfleetAI/memmesh/tree/main/integrations/memmesh-plugin/skills/remember into .agents/skills/remember/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "remember", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add ThinkfleetAI/memmesh --skill remember -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install ThinkfleetAI/memmesh remember --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ThinkfleetAI/memmesh.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/integrations/memmesh-plugin/skills/remember .cursor/skills/remember && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "remember" agent skill from https://github.com/ThinkfleetAI/memmesh/tree/main/integrations/memmesh-plugin/skills/remember into .cursor/skills/remember/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "remember", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/ThinkfleetAI/memmesh.git --path integrations/memmesh-plugin/skills/remember--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add ThinkfleetAI/memmesh --skill remember -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install ThinkfleetAI/memmesh remember --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ThinkfleetAI/memmesh.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/integrations/memmesh-plugin/skills/remember .gemini/skills/remember && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "remember" agent skill from https://github.com/ThinkfleetAI/memmesh/tree/main/integrations/memmesh-plugin/skills/remember into .gemini/skills/remember/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "remember", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install ThinkfleetAI/memmesh rememberInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add ThinkfleetAI/memmesh --skill remember -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/ThinkfleetAI/memmesh.git skills-src && mkdir -p .github/skills && cp -r skills-src/integrations/memmesh-plugin/skills/remember .github/skills/remember && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "remember" agent skill from https://github.com/ThinkfleetAI/memmesh/tree/main/integrations/memmesh-plugin/skills/remember into .github/skills/remember/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "remember", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add ThinkfleetAI/memmesh --skill remember -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install ThinkfleetAI/memmesh remember --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ThinkfleetAI/memmesh.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/integrations/memmesh-plugin/skills/remember .opencode/skills/remember && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "remember" agent skill from https://github.com/ThinkfleetAI/memmesh/tree/main/integrations/memmesh-plugin/skills/remember into .opencode/skills/remember/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "remember", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
rememberStore 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. 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.
Read from SKILL.md and the folder at commit bba48f8. It shows what the files ask for, not the result of running them.
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.
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.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
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.
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.
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.
The full file from ThinkfleetAI/memmesh at commit bba48f8, republished under its Apache-2.0 licence (© ThinkfleetAI). 120 words, ~407 tokens.
.claude/skills/remember/SKILL.md (or your agent's skills folder).Persist something the user asked you to keep.
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.
{ "name": "memory_observe",
"arguments": { "text": "<the user's exact statement>", "role": "user",
"projectId": "<git repo name or null>", "userId": "<OS user>" } }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:
{ "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.
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
Just SKILL.md in integrations/memmesh-plugin/skills/remember of ThinkfleetAI/memmesh.
Open the folder on GitHubat commit bba48f8
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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Remember this skillThinkfleetAI/memmesh | 419 | — | ~407 | Automated safety check: Pass | Apache-2.0 | |
| Mem0 Remembermem0ai/mem0 | 67k | — | ~410 | Automated safety check: Pass | Apache-2.0 | |
| Agent App Storeruvnet/ruflo | 74k | 3 repos | ~1k | Automated safety check: Pass | MIT | |
| App Store Optimizationalirezarezvani/claude-skills | 28k | 1 repos | ~4.2k | Automated safety check: Pass | MIT | |
| Remembergithub/awesome-copilot | 40k | 1 repos | ~1.6k | Automated safety check: Pass | MIT | |
| Rememberalirezarezvani/claude-skills | 28k | 1 repos | ~784 | Automated safety check: Pass | MIT |
mem0ai/mem0
Stores a fact, preference or lesson verbatim in Mem0 through /mem0-remember and files it under a category such as preferences, decisions or goals.
ruvnet/ruflo
Agent skill for app-store - invoke with $agent-app-store. An agent skill from ruvnet/ruflo.
alirezarezvani/claude-skills
App Store Optimization (ASO) toolkit for researching keywords, analyzing competitor rankings, generating metadata suggestions, and improving app visibility on Apple App Store and Google Play Store.
github/awesome-copilot
Transforms lessons learned into domain-organized memory instructions (global or workspace).
alirezarezvani/claude-skills
Explicitly save important knowledge to auto-memory with timestamp and context.
sickn33/agentic-awesome-skills
Curated upstream guidance for Eas App Stores; use when the workflow matches the user goal.
ThinkfleetAI/memmesh
Surface emergent behavior patterns MemMesh has mined from a subject's history — recurring habits nobody predefined, each with prevalence, stability, and the evidence behind it.
ThinkfleetAI/memmesh
Run MemMesh's competitive benchmark harness (LOCOMO / BEAM) to compare retrieval quality, tokens, latency, and cost against Mem0, Zep, full-context, and naive-RAG baselines.
ThinkfleetAI/memmesh
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)…
ThinkfleetAI/memmesh
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.
ThinkfleetAI/memmesh
MemMesh CLI + local MCP server — the zero-infra, no-API-key path to the same engine as the hosted SDK.
ThinkfleetAI/memmesh
MemMesh TypeScript SDK reference (@thinkfleet/memory-sdk) for the hosted platform at app.memmesh.ai.
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.
Remember fits situations like: the user says remember this; explicitly asks to record a decision.
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.
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.
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.
SKILL.md names no scripts, command-line tools or credentials: Remember is instructions for the agent only.
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.
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.
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.
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.
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.
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.