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TeamAI manages a team's skills, rules, agents, learnings, models, MCP, and other agent resources in a git repo.
A teammate initializes once. After that, the latest team agent resources sync automatically.
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 agent resources.
Command-line install
npm install -g teamai-cli
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 initagainst your new repo.
# 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.
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, benchmarks.
| Agent | Team Execution | Team Context (beta) | Team Improvement (beta) | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| skills | rules | culture | agents | hooks | mcp | workflows | env | models | usage | sessions | scorers | benchmarks | ||
| Claude Code | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ |
| Codex | ✓ | ✓¹ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ |
| Cursor | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | — | ✓ | ✓ | ✓ | ✓ | — |
| CodeBuddy | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ |
| WorkBuddy | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ |
| GitHub Copilot CLI | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | — | ✓ | ✓ | ✓ | ✓ | — |
| OpenCode | ✓ | ✓¹ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ |
| Pi Coding Agent | ✓ | ✓¹ | ✓ | — | ✓ | ✓ | ✓ | ✓² | ✓ | ✓ | ✓ | — | ✓ | — |
| Oh My Pi | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | — | ✓ | — |
| OpenClaw | ✓ | ✓¹ | ✓ | — | ✓ | ✓ | ✓ | ✓ | — | ✓ | — | — | ✓³ | — |
| Hermes | ✓ | ✓¹ | ✓ | — | ✓ | ✓ | ✓ | ✓ | — | ✓ | — | — | ✓ | — |
| DeepSeek Harness | ✓ | ✓¹ | ✓ | — | ✓ | ✓ | ✓ | ✓² | — | ✓ | ✓ | — | ✓³ | — |
| Qoder | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | — | ✓ | ✓ | ✓ | ✓ | — |
| Qoder CN | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | — | ✓ | ✓ | ✓ | ✓ | — |
| Kiro | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | — | ✓ | ✓ | ✓ | ✓³ | — |
| Trae | ✓ | ✓ | ✓ | ✓ | — | ✓ | ✓ | ✓ | — | ✓ | — | — | ✓³ | — |
| Trae CN | ✓ | ✓ | ✓ | ✓ | — | ✓ | ✓ | ✓ | — | ✓ | — | — | ✓³ | — |
| ZCode | ✓ | ✓¹ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓² | — | ✓ | ✓ | ✓ | ✓³ | — |
| JoyCode | ✓ | ✓¹ | ✓ | ✓ | ✓ | — | ✓ | ✓ | — | ✓ | ✓ | ✓ | ✓ | — |
| Muse Code | ✓ | ✓¹ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | — |
| Antigravity | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ |
✓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.
- Getting Started — set up a team, join one, or share a skill
- Usage Guide — setup, onboarding, daily workflows, and commands
- Product Overview — architecture, distribution controls, and capability details
- Git Providers — supported repository providers
- Windows Setup — hooks and shell configuration
- Technical Designs — design documents and proposals
Thanks to everyone who has contributed to TeamAI!
Made with contrib.rocks.
Join the conversation, or open an issue or PR. See CONTRIBUTING.md for how to contribute.