TeamAI manages a team's skills, rules, agents, learnings, models, MCP, and other AI assets in a git repo.
A teammate initializes once. After that, the latest team AI assets sync automatically.
Why TeamAI
Quick Start
Send this one line to your AI tool:
Install the teamai skill: https://github.com/Tencent/teamai-cli/tree/main/skills/teamai , load the teamai skill, then set up TeamAI for my team from scratch.
Once TeamAI is set up, just talk to the /teamai skill in your AI tool:
Set up a team from scratch
/teamai Help me set up TeamAI for my team from scratch
Join a team
/teamai Help me join my team's TeamAI, repo URL is https://github.com/your-org/your-repo
Share with the team
Skills, rules, MCP servers, and other agent resources can all be shared:
/teamai Share my xxx skill with the team
Open the dashboard
/teamai Open the TeamAI dashboard
Once a teammate is set up, they just open their agent and already have the team's full set of AI assets.
Install
npm install -g teamai-cli
Team admin / solo user
Create a shared repo on your git host (GitHub, GitLab, GitCode, CNB, TGit, or a private Git service). Give teammates permission to push branches, and leave the default branch protected. Then run teamai init https://github.com/your-org/your-repo.
No team repo yet? Start from a template pre-loaded with production-ready skills, rules, and review agents. Browse the teamai-hub org, click Fork, then teamai init against your new repo.
Team members
# Choose one, depending on where you want resources installed
# Workspace-scope init (default, resources installed under the workspace directory)
cd /path/to/my-workspace
teamai init https://github.com/your-org/your-repo
# Or, user-scope init (resources installed under ~/)
teamai init https://github.com/your-org/your-repo --scope user
Once initialized, every AI session automatically pulls the latest skills / rules and other Harness updates published by admins — no manual sync needed.
Product Overview
Three layers of capability, built on Git:
- Team Execution — make every agent work the team's way: skills, rules, culture, agents, hooks, MCP, workflows, env, models.
- Team Context (beta) — make every agent understand the team: learnings, codebase graph, teamwiki.
- Team Improvement (beta) — make every execution improve the team: usage, sessions, scorers.
✓¹ Rules stay on. They are not limited by path.
✓² Env reaches it only through teamai env exec.
✓³ Only workflows run with the skill driver are scored.
Learn More
Contributors
Thanks to everyone who has contributed to TeamAI!
Made with contrib.rocks.
Contributing
Join the conversation, or open an issue or PR. See CONTRIBUTING.md for how to contribute.
License
MIT
