SWE-agent
ActiveDescription
SWE-agent takes a GitHub issue and automatically generates fixes using your LLM of choice, also applicable to cybersecurity auditing and competitive coding. NeurIPS 2024 paper.
Key Features
- State-of-the-art performance on SWE-bench among open-source software engineering agents
- Supports multiple LLM backends including GPT-4o and Claude Sonnet 4
- Configurable via a single YAML file with full documentation
- Includes EnIGMA mode for offensive cybersecurity (CTF) challenge solving
- Free-flowing agent design that maximizes LM autonomy for tool use
- Simple and hackable architecture ideal for research and experimentation
Use Cases
💡 Automatically fix issues in real GitHub repositories
💡 Find cybersecurity vulnerabilities via the EnIGMA CTF mode
💡 Solve competitive programming challenges
💡 Research and experiment with LLM-based software engineering agents
💡 Batch benchmark evaluation on SWE-bench datasets
Strengths & Limitations
✅ Strengths
- • Actively maintained, recent updates
- • High community interest (20.2k stars)
- • Permissive open-source license (MIT)
- • Established track record (2 years in production)
Tags
Categories
Quick Start
1. Install: git clone https://github.com/SWE-agent/SWE-agent && cd SWE-agent && pip install -e .
2. Set API key: export OPENAI_API_KEY=your_key
3. Run: python -m sweagent run --problem_file <issue_file> --agent_config default.yaml
4. Or try in browser via GitHub Codespaces