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Turn Claude Code into an autonomous AI team with self-improving workflows.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "AI Team OS" yet — see the docs or source repo.
Using AI Team OS, create an autonomous development workflow for a SaaS product: define CEO, product, engineering, and QA agents, their responsibilities, collaboration rules, delivery cadence, and the full workflow from requirement breakdown to release.
A multi-agent org structure, role definitions, collaboration flow, and an executable delivery plan.
Based on AI Team OS, design a self-improvement mechanism so the agent team can continuously optimize prompts, responsibilities, and workflows using delivery quality, error rate, and response speed, and include monitoring metrics.
A continuous improvement loop with key metrics, triggers, and recommended optimization actions.
Use AI Team OS to define an operating model for a small AI startup team, including how the CEO agent assigns work, how agents report progress, and how conflicts and escalations are handled.
Clear AI team operating rules, task delegation mechanisms, and an escalation management framework.
Run multi-agent teams to execute complex work from high-level instructions.
Understand your codebase in terminal and accelerate coding with natural language.
Capture coding feedback and sync learned preferences into project memory files.
Run a self-evolving multi-agent software team for autonomous development tasks.
Connect Claude Code to third-party LLMs as teammates or one-shot subagents.
Automate GitHub workflows in Claude Code with planning, execution, and reports.