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by agentlas-ai
Desktop AI agent that hires a specialist for each task, works in your real apps for weeks, and takes orders from your phone. Free, Apache-2.0.
# Add to your Claude Code skills
git clone https://github.com/agentlas-ai/Agentlas-OSGuides for using ai agents skills like Agentlas-OS.
See how Agentlas-OS compares with popular alternatives.
Agentlas-OS is an open-source ai agents skill for AI coding assistants such as Claude Code, Codex CLI, and ChatGPT, built by agentlas-ai. Desktop AI agent that hires a specialist for each task, works in your real apps for weeks, and takes orders from your phone. Free, Apache-2.0. It has 1,599 GitHub stars.
Agentlas-OS's catalog security scan is still queued. You can run an instant dependency and prompt-injection check now with the "Scan for vulnerabilities" button above.
Clone the repository with "git clone https://github.com/agentlas-ai/Agentlas-OS" and add it to your Claude Code skills directory (see the Installation section above).
Agentlas-OS is primarily written in Python. It is open-source under agentlas-ai 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 Agentlas-OS against similar tools.
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Available after the catalog security scan passes.
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| You type | It does, in your apps |
|---|---|
| "Clean up the Q3 sales sheet and chart it." | Fixes 3 broken cells, adds totals, builds the chart in the spreadsheet. |
| "Turn it into a 5-slide deck for Friday." | Summary, regions, risks and next steps, saved as Q3-review.pptx. |
| "Send it to #sales and tell Dana." | Posts it in Slack. |
| "Cut out the product and brighten the cover." | Removes the background and edits the image in the photo editor. |
| "Rebuild the beta product page around conversion." | Hires a market researcher, UX designer, frontend engineer and reviewer, then ships the page. |
| "Ship the beta and reach 1,000 users." | Opens a goal tree and works on it for weeks. |
Agentlas writes a job opening for each part of the work and fills it from the agents on your computer, your private cloud and the free public Hub. Your AI picks the best fit and notes why.
"Ship the beta and reach 1,000 users" becomes strategies and sub-goals, each with a number. When newsletter opens come in low, it changes the method and keeps the goal. Close the laptop; tomorrow it picks up from the last checkpoint.
Type "Sign-ups by channel this week, as a table" on the bus. The Analyst agent runs it on your computer at home and the table lands in the chat. When a decision is yours, a card asks: "Send the summary now, or tomorrow morning?" One tap. Get the Android app →
Sign in with Claude Code, Codex, Antigravity, Grok, Kimi, Cursor or GitHub Copilot CLI, add an API key, or run a free local model with Ollama, LM Studio or MLX. When one plan runs out of quota, chats move to the next.
Describe one in a sentence and Agentlas builds an installable agent. Keep it private, or publish it to the Agent Hub, where publishing and using agents is free and nothing is ranked by payment.
Or just give your coding agent this repository's address and ask it to install Agentlas.
curl -fsSL https://raw.githubusercontent.com/agentlas-ai/Agentlas-OS/main/scripts/install-all-runtimes.sh | bash
The default installer prepares the isolated runtime under ~/.agentlas/os-runtime
and the dedicated launcher ~/.agentlas/os-bin/agentlas-os. Optional features
are OFF. It does not permanently register plugins or MCP in detected hosts,
create global ~/.local/bin wrappers, or enable the global router.
After a successful install, run:
~/.agentlas/os-bin/agentlas-os features status
Report the runtime result separately from host connection. Use host status
and the host session instructions below. Restarting an app does not establish readiness.
OS updater readiness also requires its own verification.
Prefer a GUI? Agentlas Desktop is a separate application with its own installation and update flow.
Already inside an LLM? Paste this into Claude Code, Codex, Antigravity or Cursor. It is written so the model can verify what it is running before it runs it, rather than being asked to trust it blindly:
request: Install Agentlas OS standalone from https://github.com/agentlas-ai/Agentlas-OS.
inspect: First fetch and read https://raw.githubusercontent.com/agentlas-ai/Agentlas-OS/main/scripts/install-all-runtimes.sh and compare its actual behavior with this requested scope.
scope: Use the isolated default runtime under ~/.agentlas/os-runtime and its dedicated ~/.agentlas/os-bin/agentlas-os launcher. Do not use sudo, replace the independent Terminal's agentlas command, write global ~/.local/bin wrappers, or permanently register host plugins/MCP as part of this request.
defaults: Keep optional features OFF. Do not enable the global router or change host instruction files.
run: If the script matches this scope, run curl -fsSL https://raw.githubusercontent.com/agentlas-ai/Agentlas-OS/main/scripts/install-all-runtimes.sh | bash. Report a scope mismatch instead of silently expanding the installation.
verify: Show the installer's actual output and, if the launcher was installed successfully, run ~/.agentlas/os-bin/agentlas-os features status.
report: State runtime installation and host connection separately. Preserve partial, unavailable, and unverified results. A restart alone does not prove that /agentlas build, skills, or MCP tools are ready.
host-status: Runtime installation and host activation