GitHub
FreeSWE-agent takes a GitHub issue and tries to automatically fix it, using your LM of choice.
About GitHub
SWE-agent is an open-source framework that allows language models like GPT-4o or Claude Sonnet 4 to autonomously interact with tools to fix bugs in real GitHub repositories, find cybersecurity vulnerabilities, or perform custom software engineering tasks. Developed by researchers at Princeton University and Stanford University, it achieved state-of-the-art results on the SWE-bench benchmark among open-source projects. The agent operates through a configurable YAML-driven system, supporting free-flowing generalization and being designed for research extensibility. SWE-agent also includes a specialized mode (EnIGMA) for offensive cybersecurity challenges. Note: The project has been superseded by the simpler mini-SWE-agent, which matches its performance.
Key Features
Pros & Cons
- Achieves state-of-the-art results on SWE-bench among open-source solutions
- Open source and free to use with any compatible language model
- Highly configurable through a single YAML file
- Designed with research principles: extensible, hackable, and well documented
- Supports both software engineering and cybersecurity use cases
- Backed by academic institutions (Princeton and Stanford)
- Current development has shifted to the simpler mini-SWE-agent, which may reduce future updates for the original SWE-agent
- Requires users to bring their own language model and API keys, increasing setup complexity
- May be overkill for simple tasks; mini-SWE-agent recommended for most users
- Not a standalone service; requires command-line and GitHub proficiency