TeamAI is a command-line tool that manages shared AI agent configurations, skills, rules, and knowledge across a team's AI development environment.
The tool addresses the challenge of keeping AI agents aligned with team standards and practices. It works by establishing a shared repository where team administrators define skills, rules, Model Context Protocol configurations, and knowledge bases that automatically synchronize to all team members' AI sessions. Rather than each developer configuring their AI agents independently, TeamAI centralizes these definitions in version control, ensuring consistency across Claude Code, Codex, CodeBuddy, WorkBuddy, OpenCode, Cursor, and other AI agents. Team members automatically pull the latest configurations without manual intervention, while administrators push updates through standard git workflows.
Teams should adopt this tool if they want to enforce consistent AI agent behavior across their organization without requiring each developer to manually replicate configurations. It suits organizations using multiple AI coding assistants that need to share custom skills, linting rules, and domain knowledge. The tool supports initialization from template repositories with production-ready configurations, making it accessible for teams starting from scratch. It integrates with multiple git hosting platforms including GitHub, GitLab, and private git services.
The project maintains active development across multiple functional layers. The core Team Execution layer, which handles initialization, synchronization, skills management, and agent configuration, is production-ready. The Team Context layer, designed to help agents understand team-specific information through recall and codebase awareness, remains in beta. The Team Improvement layer, intended to capture learnings from execution sessions and provide team-wide insights, is also in beta. Documentation is maintained in both English and Chinese, with a comprehensive usage guide covering setup and daily workflows.
