A smart multi-agent system powered by LangGraph that turns prompts into GitHub PRs with intelligent workflow orchestration, parallel processing, and advanced error recovery.
- 🧠 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
git clone <repository-url>
cd orion
pip install -r requirements.txtpython main.py --setup-auth# Basic code generation
python main.py --prompt "Add logging functionality to the project"
# With commit and PR creation
python main.py --prompt "Build REST API with comprehensive tests" --commit --create-pr
# Enable debug mode for detailed workflow information
python main.py --prompt "Refactor database layer" --debug
# List available repositories
python main.py --list-repos
# Discord bot integration
python main.py --discord-bot
# Explain repository structure with an OpenAI summary (no changes made)
python main.py --prompt "Explain" --repo-url <repository-url> --branch <branch>| 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 |
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
- 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