mvschwarz / openrig
Turns Claude Code, Codex, and Pi into a persistent, organized agent team with YAML-defined roles and shared context.
星标趋势
AI 分析
项目摘要
OpenRig is a multi-agent orchestration system that wraps AI coding agents (Claude Code, Codex, Pi) into persistent, organized teams with YAML-defined roles, shared context, and tmux-based session management. It provides a CLI and TUI for booting and managing agent networks as a unified system.
为什么值得关注
OpenRig addresses the real pain point of managing multiple AI coding agents across separate terminal sessions by providing a structured, persistent team framework. With 6,357 stars and 30 releases in 6 months, it has rapidly gained traction as a practical tool for coordinating Claude Code, Codex, and Pi agents with defined roles and shared context.
优势
- Innovative approach to orchestrating existing AI coding agents into structured teams
- YAML-based team definition makes agent configuration declarative and version-controllable
- Active development with 30 releases in 6 months and growing community (6,357 stars)
- Supports multiple agent backends (Claude Code, Codex, Pi) in a single rig
- Apache 2.0 license with clear documentation and visual TUI demos
局限性
- No CI/CD pipeline or automated tests, raising concerns about stability and regression safety
- No Docker support or examples, limiting reproducibility and onboarding for new users
- macOS/Linux only with no native Windows support (WSL2 required)
- Relatively new project (created April 2026) with limited production track record
使用场景
- Coordinating multiple AI coding agents on a single software project with defined roles
- Building persistent agent teams that maintain context across development sessions
- Research and experimentation with multi-agent AI systems for software development
- Managing complex coding tasks by delegating to specialized agents (e.g., one for tests, one for docs)