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Tencent

teamai-cli

Tencent's team-level agent config manager: skills, rules, agents, hooks, MCP and env live in a shared git repo and sync into Claude Code, Codex, Cursor, CodeBuddy, OpenCode and more on every session.

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Curator's take

The right tool when the unit is a team, not a developer: an admin curates one 'shared-experience' repo, `teamai init <repo>` installs it per project or per user, and every agent session auto-pulls updates. Coverage is broad (Claude Code, Codex, Cursor, CodeBuddy, WorkBuddy, OpenCode, OpenClaw, Hermes…) and the beta Context/Improvement layers (learnings, codebase graph, sessions, dashboard) push toward a company-wide agent memory. Solo developers should look at apm or skillkit instead — the git-repo-plus-write-access model is overhead without teammates. Tencent-first ecosystem (CodeBuddy, CNB, TGit) — check the matrix for your harness before committing.

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Weekly digest
README.md2 min read

teamai-cli

TeamAI — Make Every Team AI Native

English | 简体中文

CI npm version npm downloads License: MIT

TeamAI manages your team's skills, rules, MCP, and knowledge across Claude Code, Codex, CodeBuddy, WorkBuddy, OpenCode, Cursor, and other AI agents.

Contributors

Thanks to everyone who has contributed to TeamAI!

Contributors

Made with contrib.rocks.

Quick Start

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/yourorg/yourrepo.

No team repo yet? Start from a template pre-loaded with production-ready skills, rules, and review agents. Browse the teamai-hub org, click Use this template, then teamai init against 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/yourorg/yourrepo

# Or, user-scope init (resources installed under ~/)
teamai init https://github.com/yourorg/yourrepo --scope user

Once initialized, every AI session automatically pulls the latest skills / rules and other Harness updates published by admins — no manual sync needed.

Full usage guide: docs/usage-guide.md (中文版) — covers everything from team creation to day-to-day use.

Product architecture

Team Execution × Team Context (beta) × Team Improvement (beta):

Layer Job In this CLI today
Team Execution Make every agent work the team's way init / pull / push, skills, rules, agents, hooks, MCP, env
Team Context (beta) Make every agent understand the team recall, learnings, codebase graph, teamwiki...
Team Improvement (beta) Make every execution improve the team friction-based share-learnings, sessions, digest, dashboard...

Overview

Agent Team Execution Team Context (beta) Team Improvement (beta)
skillsrulesdocsenvagentshooksmcp learningscodebaseteamwiki usagesessionsdashboard
Claude Code
Codex✓<