by kstevica
Self-hosted framework for orchestrating fleets of specialist AI agents — ensemble reasoning and a full agentic coding pipeline, model-agnostic and local-friendly.
# Add to your Claude Code skills
git clone https://github.com/kstevica/captain-clawGuides for using ai agents skills like captain-claw.
Last scanned: 6/30/2026
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captain-claw is an open-source ai agents skill for AI coding assistants such as Claude Code, Codex CLI, and ChatGPT, built by kstevica. Self-hosted framework for orchestrating fleets of specialist AI agents — ensemble reasoning and a full agentic coding pipeline, model-agnostic and local-friendly. It has 177 GitHub stars.
Yes. captain-claw passed SkillsLLM's automated security scan — a dependency vulnerability audit plus prompt-injection heuristics — with no high-severity issues. You can read the full report in the Security Report section on this page.
Clone the repository with "git clone https://github.com/kstevica/captain-claw" and add it to your Claude Code skills directory (see the Installation section above).
captain-claw is primarily written in Python. It is open-source under kstevica on GitHub, so you can review or fork the full source.
Yes. SkillsLLM lists many other AI Agents skills you can browse and compare side by side. Open the AI Agents category from the badge at the top of this page, or use the Related Skills and comparison links further down to weigh captain-claw against similar tools.
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⚠️ Third-Party Software Notice
This skill is third-party open-source software developed and hosted independently on GitHub. SkillsLLM is an informational directory and does not control or maintain the underlying repository.
Any security checks, ratings, or warnings displayed by SkillsLLM are automated and limited in scope. They do not constitute a security certification or guarantee that the software is safe, error-free, or free from malicious code, vulnerabilities, compromised dependencies, or prompt-injection risks.
Review the source code, permissions, dependencies, and configuration before installing or running any third-party skill. Use is at your own risk. To the maximum extent permitted by applicable law, SkillsLLM is not liable for losses arising from third-party software.
Automated security scan — not a certification.
Most AI tools give you one agent in a chat box. Captain Claw Flight Deck is a multi-agent command center — spawn specialist teams, run seven orchestration modes, ship software with Code (a plan → build → independent-review pipeline), and compose deterministic Flows. Self-hosted, MIT licensed, and works with every major LLM provider (or 100% local with Ollama). Since 0.8.0 it is safe for a whole team, with agents in your inbox and on your glasses — and 0.8.1 gives that team a complete kiosk and three M5Stack devices you talk to.
🌐 Website · 🚀 Live Demo · 📖 Docs · 📦 PyPI · 📝 0.8.1 release notes

A self-hosted framework for orchestrating fleets of specialist AI agents — from ensemble reasoning (seven orchestration modes) to a full agentic coding pipeline (plan → independent review → ship). Model-agnostic and local-friendly: connect OpenAI, Anthropic, Google Gemini, DeepSeek, Ollama, or OpenRouter (plus "Sign in with ChatGPT" and Google subscription text through the Antigravity CLI — no API key), or run 100% local with Ollama. Backed by 57 built-in tools per agent, persistent cross-session memory, and autonomous "dream cycle" cognition.
Push-to-talk Captain Claw clients on three M5Stack devices — the StickS3 (240×135 LCD), the StopWatch (466×466 round AMOLED with a clock face, touch and vibration) and the PaperColor (a 4" colour e-paper dashboard with two status lights and a room sensor). Press, talk, press again — or just stop talking: Flight Deck transcribes it, one of your agents answers, and the device speaks the answer sentence by sentence while the model is still writing it, the text following the voice. Out of Wi-Fi it keeps voice notes and sends them when the deck is back; hold the button for note-taking mode. Every question carries the battery, the room's temperature and the local time; the watch wears any picture you send the agent as its background; and all three take signed over-the-air updates from your own deck. One firmware tree: cd firmware/device && pio run -e stopwatch -t upload (or -e sticks3, -e papercolor_b). Details in firmware/device/README.md.
The chat-first view your team's non-admins live in is now a complete place to work: a getting-started guide, one-click "What can I do?" skill cards, a File library and a Data library that summarise everything the agents keep, Scheduled tasks that deliver to chat, email or Telegram, one timeline per agent with named topics, a reasoning-effort picker, and a ⋯ menu per agent for its model, instructions and settings. Admins get an Admin console, invitations by email, a waitlist that answers applicants, branding and daily plan limits. See What's New in 0.8.1.
0.8.0, the release before, made Flight Deck safe for a team (every route knows who is calling, per-user Google and Microsoft, shared agents, team keys), put agents in your inbox behind guards that stop them inventing a send, added a HUD for Meta Ray-Ban Display, Claude driving your fleet over MCP, and Bat, a mode that keeps going until an independent judge says the work is done. See What's New in 0.8.0.
Describe what you want built. A router sizes the job; big work runs plan → your approval → build → three independent reviewers in parallel → triage → capped fix loop, every phase a git commit in the folder's own repo. Agents query a persistent Code Map (symbols + architecture, git-hash-fresh) instead of re-reading your tree; per-turn token costs are shown in chat; the whole process exports as one auditable Markdown transcript. Works on fresh folders or your existing local repos linked in — on any models you configure, including a cheap implementer with a premium reviewer.
Cursor and Claude Code give you one very good agent that plans, writes, reviews, and tests in a single context. Code splits those roles across independent agents — the reviewer never grades its own homework, QA actually runs the tests — and puts you at the approval gate before anything is built. Self-hosted, model-agnostic, no lock-in. A complete real run (an RTS game with 185 tests, ~$2.50 on DeepSeek) ships in examples/code/. Details in RELEASE_NOTES_0.7.0.md and USAGE.md.
One agent isn't always the answer — and one orchestration strategy never is. Captain Claw ships seven distinct modes, each tuned to a different kind of work.
The fifth mode is 💻 Code (above) — a plan-gated, independently-reviewed engineering pipeline. The sixth is Flight Deck itself — spawn, monitor, and coordinate the whole crew from one dashboard. The seventh, new in 0.8.0, is 🦇 Bat — the stubborn finisher: checkpointed steps with retries, survives restarts, and stops only when an independent, fail-closed judge says the task is done.
Captain Claw is MIT licensed and free forever — your data stays on your machine, bring your own keys or run 100% local with Ollama. It's built solo and growing fast