[GitHub Trending] mvschwarz/openrig

8.5 relevance

Directly enables multi-agent orchestration with major models, highly actionable and strategic.

AI/ML github.com

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Why It Matters

This directly tackles the messy state management and orchestration overhead of running multiple AI coding agents, offering a structured, persistent team model that aligns with platform engineering principles for developer tooling.

Key Takeaways

Evaluate OpenRig as a structured orchestration layer for your AI coding agents to move from ad-hoc terminal sessions to persistent, review-driven development teams.

Multi-agent harness that runs Claude Code and Codex together as one system - mvschwarz/openrig

Summary

OpenRig orchestrates multi-agent AI coding teams (Claude Code, Codex) defined in YAML, booted with a single command, replacing scattered terminal sessions with a persistent, organized system. A lead agent coordinates specialists on a repository, using a queue (`rig send`, `rig queue list`) to manage tasks and maintain context across sessions. Built on Node.js 22/24 and tmux, it provides a structured workflow with owner/checker roles for reviewed changes, directly addressing the state management and orchestration gaps in current AI agent usage.

Author

mvschwarz