Quick Installation / Run
git clone https://github.com/mvschwarz/openrig.git && cd openrig💡 What Problem Does Openrig Solve?
Openrig is an open-source multi-agent harness designed to orchestrate autonomous coding assistants like Claude Code and Codex to collaborate on complex software engineering tasks. It eliminates workflow fragmentation by combining distinct AI models into a unified, synergistic development pipeline.
⚖️ Pros & Cons Analysis
- Combines the specialized strengths of multiple leading AI coding models
- Removes context switching and tool fragmentation from the developer workflow
- Fully open-source and self-hostable for maximum control over source code and data
- Requires API keys and setup for multiple underlying AI providers
- Complex multi-agent interactions can occasionally lead to conflicting code changes
⚡ Core Architecture & Key Capabilities
Seamlessly coordinates multiple AI coding assistants like Claude Code and Codex on a single repository.
Bridges the fragmentation of disparate AI tools into a coherent, automated development lifecycle.
Fully customizable harness allowing developers to plug in custom models and agents.
🎯 Practical Applications & High-Value Use Cases
Automating complex multi-file refactoring using complementary AI models
Running collaborative code generation where one agent writes and another reviews
Orchestrating end-to-end feature implementation across a large codebase
🔄 Why Choose Openrig Over Cursor?
Unlike proprietary AI editors like Cursor, Openrig provides an open-source, multi-agent harness that orchestrates specialized external CLIs and models together.
🎯 Target Audience & Who is this for?
Advanced developers and software architects looking to automate complex coding pipelines using multiple AI agents.
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