Wrongstack Mailbox MCP
WrongStack/WrongStack
Coordinate with WrongStack agents through the project-scoped Mailbox MCP server.
MemMesh CLI + local MCP server — the zero-infra, no-API-key path to the same engine as the hosted SDK.
$ npx skills add ThinkfleetAI/memmesh --skill memmesh-cli -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install ThinkfleetAI/memmesh memmesh-cli --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/skills/memmesh-cli .claude/skills/memmesh-cli && 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 "memmesh-cli" agent skill from https://github.com/ThinkfleetAI/memmesh/tree/main/skills/memmesh-cli into .claude/skills/memmesh-cli/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "memmesh-cli", 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/skills/memmesh-cliType 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 memmesh-cli -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install ThinkfleetAI/memmesh memmesh-cli --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/skills/memmesh-cli .agents/skills/memmesh-cli && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "memmesh-cli" agent skill from https://github.com/ThinkfleetAI/memmesh/tree/main/skills/memmesh-cli into .agents/skills/memmesh-cli/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "memmesh-cli", 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 memmesh-cli -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install ThinkfleetAI/memmesh memmesh-cli --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/skills/memmesh-cli .cursor/skills/memmesh-cli && 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 "memmesh-cli" agent skill from https://github.com/ThinkfleetAI/memmesh/tree/main/skills/memmesh-cli into .cursor/skills/memmesh-cli/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "memmesh-cli", 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 skills/memmesh-cli--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 memmesh-cli -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install ThinkfleetAI/memmesh memmesh-cli --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/skills/memmesh-cli .gemini/skills/memmesh-cli && 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 "memmesh-cli" agent skill from https://github.com/ThinkfleetAI/memmesh/tree/main/skills/memmesh-cli into .gemini/skills/memmesh-cli/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "memmesh-cli", 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 memmesh-cliInstalls 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 memmesh-cli -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/skills/memmesh-cli .github/skills/memmesh-cli && 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 "memmesh-cli" agent skill from https://github.com/ThinkfleetAI/memmesh/tree/main/skills/memmesh-cli into .github/skills/memmesh-cli/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "memmesh-cli", 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 memmesh-cli -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 memmesh-cli --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/skills/memmesh-cli .opencode/skills/memmesh-cli && 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 "memmesh-cli" agent skill from https://github.com/ThinkfleetAI/memmesh/tree/main/skills/memmesh-cli into .opencode/skills/memmesh-cli/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "memmesh-cli", 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.
memmesh-cliMemMesh CLI + local MCP server — the zero-infra, no-API-key path to the same engine as the hosted SDK.
Memmesh CLI is an agent skill from ThinkfleetAI/memmesh. MemMesh CLI + local MCP server — the zero-infra, no-API-key path to the same engine as the hosted SDK. Runs fully local over SQLite. Covers install (wires MCP config + the teaching skill into Claude Code / Cursor / Windsurf / Codex), and the memory subcommands (save / get / search / migrate / mcp / serve). TRIGGER when: user mentions "memmesh cli", "memmesh install", "thinkfleet-memory" binary, "npx @thinkfleet/memmesh", running memmesh mcp, or wants local memory with no hosted account. DO NOT TRIGGER for: the…
Its SKILL.md is about 860 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts. Compatibility notes: The memmesh (a.k.a. thinkfleet-memory) Rust binary on PATH, or npx @thinkfleet/memmesh (dependency-free shim). Local mode needs no API key; data lives in…
It sits in Agent Workflows, covering MCP servers. It works with Model Context Protocol and SQLite. 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.
Shell commands in SKILL.md call:
npxFrom the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md. Its commands use npx, which can reach the network depending on how they are called.
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.
The `memmesh` (a.k.a. `thinkfleet-memory`) Rust binary on PATH, or `npx @thinkfleet/memmesh` (dependency-free shim). Local mode needs no API key; data lives in ~/.thinkfleet-memory/memory.db.
From compatibility in the SKILL.md frontmatter.
Memmesh CLI loads about 855 tokens when it runs. Until then it costs about 158 tokens; SKILL.md has 244 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). 244 words, ~855 tokens.
.claude/skills/memmesh-cli/SKILL.md (or your agent's skills folder).The CLI drives the same Rust engine as the hosted platform, but fully local over SQLite — no account, no key, no network. It is also the recommended way to give any MCP-capable agent persistent memory.
npx @thinkfleet/memmesh install # or: memmesh installThis auto-detects your installed AI tools and, for each, writes the MCP server config and drops the teaching skill:
~/.claude.json + ~/.claude/skills/)~/.cursor/mcp.json)Useful flags: --dry-run (preview), --tool <name> (one tool only),
--skill-only / --mcp-only, --force (overwrite existing config).
Verify wiring at any time:
memmesh doctor # checks binary, MCP config, skill presence, hooksmemmesh save --type preference --scope user --content "prefers pnpm over npm"
memmesh get <id>
memmesh search --project myapp --query "database" # substring/scoped search
memmesh list --project myapp --limit 20
memmesh migrate # run pending DB migrationsMost agents launch this for you via the config the installer wrote. To run it by hand (stdio JSON-RPC 2.0):
memmesh mcpThe server exposes 15 tools — see the memmesh skill for the full list and the
observe/recall usage pattern. Highlights beyond basic CRUD:
memory_predict, memory_build_context, memory_graph_reason,
memory_query_graph, memory_prefetch_related, plus the client-LLM graph
extraction pair (memory_extract_pending / memory_commit_extraction) — the
engine never makes LLM calls; your agent's own model does the extraction.
| Local (CLI + MCP) | Hosted (SDK / Mesh Router) | |
|---|---|---|
| Storage | SQLite (~/.thinkfleet-memory/memory.db) | Postgres, multi-tenant |
| API key | not required | mm-… key or Cognito JWT |
| Surface | 15 MCP tools + CLI | full TS SDK (memmesh-sdk) |
| Sync | CRDT-style bi-temporal push to server (optional) | authoritative |
Free tier caps local storage at 500 items (free_tier.entry_cap in
~/.thinkfleet-memory/config.toml).
~/.thinkfleet-memory/config.toml holds the sync URL, JWT token, and tier caps.
Point sync.url at your hosted mesh to push local memory up; leave it unset to
stay fully offline.
© 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 skills/memmesh-cli of ThinkfleetAI/memmesh.
Open the folder on GitHubat commit bba48f8
Memmesh CLI 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 |
|---|---|---|---|---|---|---|
| Memmesh CLI this skillThinkfleetAI/memmesh | 419 | — | ~855 | Automated safety check: Pass | Apache-2.0 | |
| Wrongstack Mailbox MCPWrongStack/WrongStack | 368 | — | ~1.5k | Automated safety check: Pass | MIT | |
| MCP Server BuildershareAI-lab/learn-claude-code | 78k | 5 repos | ~1.2k | Automated safety check: Pass | MIT | |
| Foremergenaw103/foremerge | 536 | — | ~2.4k | Automated safety check: Pass | Apache-2.0 | |
| Puppetmaster Agent Orchestrationprofessorpalmer/Puppetmaster | 467 | — | ~3.2k | Automated safety check: Pass | MIT | |
| Clawmemyoloshii/ClawMem | 210 | — | ~7.5k | Automated safety check: Pass | MIT |
WrongStack/WrongStack
Coordinate with WrongStack agents through the project-scoped Mailbox MCP server.
shareAI-lab/learn-claude-code
Walks through building MCP servers in Python or TypeScript that expose tools, resources and prompts to Claude, with templates, registration and testing.
naw103/foremerge
Coordinate parallel coding agents with Foremerge's local Git-compatible CLI and MCP server.
professorpalmer/Puppetmaster
Operates and supervises Puppetmaster, a multi-agent orchestrator, through its MCP tools or CLI, picking the right verb for edits, reviews, audits and long-running jobs.
yoloshii/ClawMem
ClawMem operational reference for agents at query time — the 3-rule escalation gate, MCP tool routing, the 4 query-optimization levers, pipeline behavior (query vs intentsearch), composite scoring…
agentic-box/memora
A skill your agent uses when working with persistent memory across sessions, storing/retrieving knowledge, managing TODOs/issues, or when context from previous sessions would be helpful.
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 TypeScript SDK reference (@thinkfleet/memory-sdk) for the hosted platform at app.memmesh.ai.
ThinkfleetAI/memmesh
Forecast what a subject will do next from their mined behavior patterns — with a calibrated, horizon-decayed confidence and provenance.
Works with
Categories
MemMesh CLI + local MCP server — the zero-infra, no-API-key path to the same engine as the hosted SDK. Memmesh CLI is an agent skill from ThinkfleetAI/memmesh. MemMesh CLI + local MCP server — the zero-infra, no-API-key path to the same engine as the hosted SDK.
Memmesh CLI fits situations like: : user mentions memmesh cli; memmesh install; thinkfleet-memory binary; npx @thinkfleet/memmesh.
Run `npx skills add ThinkfleetAI/memmesh --skill memmesh-cli -a claude-code`. Or copy the skill folder (skills/memmesh-cli in ThinkfleetAI/memmesh) into .claude/skills/memmesh-cli in your project. Claude Code loads it when a task matches its description.
Run `npx skills add ThinkfleetAI/memmesh --skill memmesh-cli -a codex`. Or copy the skill folder (skills/memmesh-cli in ThinkfleetAI/memmesh) into .agents/skills/memmesh-cli 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 memmesh-cli -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/memmesh-cli, .gemini/skills/memmesh-cli, .github/skills/memmesh-cli and .opencode/skills/memmesh-cli in your project.
Going by SKILL.md and its folder, Memmesh CLI needs the command-line tools its instructions call (npx). Our summary lists: Node.js. Compatibility (from SKILL.md): The `memmesh` (a.k.a. `thinkfleet-memory`) Rust binary on PATH, or `npx @thinkfleet/memmesh` (dependency-free shim). Local mode needs no API key; data lives in ~/.thinkfleet-memory/memory.db..
SKILL.md contains no URLs. Its commands use npx, which can reach the network depending on how they are called. 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.
Memmesh CLI is published under the Apache-2.0 licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
About 855 tokens (SKILL.md is roughly 3.4k 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 Memmesh CLI: Wrongstack Mailbox MCP (WrongStack/WrongStack, 368 stars), MCP Server Builder (shareAI-lab/learn-claude-code, 78k stars), Foremerge (naw103/foremerge, 536 stars) and Puppetmaster Agent Orchestration (professorpalmer/Puppetmaster, 467 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.