Saul Moro
b136c9c654
* fix(pull): do not deliver an env, hook or MCP entry with a mistyped key (#822) Item 1. Env, hook and MCP entry schemas are plain z.object, which strips unknown keys, so a mistyped scoping key (`role:` for `roles:`) vanished and the entry reached every member. Each reader now reports the keys an entry was written with that its schema does not know (known keys come from the schema's own shape), and keepScopedEntry does not deliver such an entry and warns once, naming the file, the entry and the key, the same path the removed `projects:` key takes. doctor's per-entry-key check is retitled to cover it. `env add`/`env remove` and `remove mcp` keep such a key when they rewrite the file; `remove mcp` edits the YAML document instead of re-serializing the parsed servers. Item 4. recall ended every result with a Chinese line; it is English now. Item 2 is not a bug: tags reaching a tagged skill in an inactive namespace is the behavior #337 added and roles-tags-pull tests. The design doc's Known gaps entry now says so. Item 3 (pull --dry-run warnings) is left to #832. * fix(env): warn when env add updates a variable pull does not deliver (#822) Updating a variable that carries an unknown key keeps the key, so the variable stays undelivered; env add now says so instead of only reporting 'Updated env variable'. * fix(pull): keep installed MCP servers and hooks when their file has no known top-level key (#822) A hooks or MCP file with `server:` for `servers:` parsed as empty and removed every installed team server or hook for every member, silently. Such a file now fails like one that does not parse, naming the keys found and the key expected. An extra key beside a known one is still ignored.
TeamAI — Make Every Team AI Native
English | 中文 | 日本語 | 한국어 | ไทย
The shared foundation for how your team works, learns, and improves with AI.
TeamAI turns individual AI capabilities into shared team capabilities — across agents, machines, and team members.
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.
Command-line install
Install
npm install -g teamai-cli
Team admin / solo user
Create a shared-experience repo on your git host (GitHub, GitLab, GitCode, CNB, TGit, or a private Git service), grant write access to team members, 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.
Team members
# Choose one, depending on where you want resources installed
# Project-scope init (default, resources installed under the project directory)
cd /path/to/my-project
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, docs, env, agents, hooks, MCP, 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, dashboard.
| Agent | Team Execution | Team Context (beta) | Team Improvement (beta) | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| skills | rules | docs | env | agents | hooks | mcp | models | learnings | codebase | teamwiki | usage | sessions | dashboard | |
| Claude Code | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ |
| Codex | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ |
| Cursor | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | — | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ |
| GitHub Copilot CLI | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | — | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ |
| CodeBuddy | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ |
| WorkBuddy | ✓ | ✓ | ✓ | ✓ | — | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ |
| OpenCode | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | — | — | — |
| Pi Coding Agent | ✓ | ✓ | ✓ | — | — | ✓ | — | — | — | — | — | — | — | — |
| OpenClaw | ✓ | ✓ | ✓ | ✓ | — | — | — | — | ✓ | ✓ | ✓ | — | — | — |
| Hermes | ✓ | — | ✓ | ✓ | — | — | — | — | ✓ | ✓ | ✓ | — | — | — |
| DeepSeek Harness | ✓ | — | ✓ | — | — | — | — | — | ✓ | ✓ | ✓ | — | — | — |
| Qoder | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | — | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ |
| Qoder CN | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | — | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ |
| Kiro | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | — | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ |
| ZCode | ✓ | — | ✓ | — | ✓ | ✓ | ✓ | — | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ |
| Oh My Pi | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | — | ✓ | ✓ | ✓ | — | — | — |
Learn More
- Usage Guide (中文版) — setup, onboarding, daily workflows, and commands
- Product Overview (中文版) — architecture, distribution controls, and capability details
- Git Providers — supported repository providers
- Windows Setup (中文版) — hooks and shell configuration
- Technical Designs — design documents and proposals
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.