Created
Dec 31, 2025 5:09 PM
Tags
Orion is a smart multi-agent system powered by LangGraph that turns prompts into GitHub PRs with intelligent workflow orchestration, parallel processing, and advanced error recovery.
✨ Key Features
- 🧠 Intelligent Workflow Routing: Dynamic decision-making based on repository analysis
- ⚡ Parallel Agent Execution: Multiple agents working simultaneously for better performance
- 🔄 Smart Error Recovery: Multiple retry strategies and alternative workflow paths
- 📊 Advanced State Management: Sophisticated state tracking with built-in persistence
- 🎯 Context-Aware Decisions: Adaptive workflow based on task complexity and requirements
🚀 Quick Start
Installation
git clone <repository-url>
cd orion
pip install -r requirements.txtSetup Authentication
python main.py --setup-authBasic Usage
📋 Available Commands
Command | Description |
--prompt "text" | Instruction for the AI agent |
--repo-url URL | GitHub repository URL to work with |
--branch BRANCH | Name of the branch to work on |
--commit | Commit the generated changes |
--create-pr | Create a pull request (auto-enables --commit) |
--debug | Enable detailed LangGraph workflow information |
--strict-testing | Abort commit if tests fail |
--no-testing | Disable code testing |
--no-venv | Disable virtual environment creation |
--list-repos | List repositories from your GitHub account |
--setup-auth | Run authentication setup |
--discord-bot | Start Discord bot for interactive prompts |
--prompt "Explain" | Use OpenAI to describe the repository and ignore commit/PR flags |
🎯 LangGraph Architecture
Orion uses LangGraph for production-grade workflow orchestration:
- Intelligent Routing: Analyzes repository structure to choose optimal workflow paths
- Parallel Processing: Runs independent tasks simultaneously (30-50% faster execution)
- Error Recovery: Smart retry strategies with context-aware fallbacks
- State Persistence: Resume interrupted workflows from any checkpoint
- Adaptive Workflows: Dynamic execution based on task complexity
Workflow Phases
- Repository Analysis → Intelligent context gathering
- Code Generation → AI-powered implementation
- Environment Setup → Automated dependency management
- Testing & Validation → Quality assurance with smart recovery
- Git Operations → Commit and PR creation