
Autonomously fix GitHub issues and perform coding tasks with your preferred language model.
SWE-agent is an open-source AI agent developed by Princeton and Stanford researchers, enabling large language models to autonomously fix GitHub issues, find cybersecurity vulnerabilities, and solve coding challenges. It's highly configurable and designed for advanced users and researchers, though it's now in maintenance mode with mini-swe-agent recommended as its successor.
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SWE-agent is an open-source AI agent that empowers language models like GPT-4o or Claude Sonnet 4 to autonomously resolve issues in real GitHub repositories, identify cybersecurity vulnerabilities, and tackle custom coding challenges. Designed for research, it offers state-of-the-art performance on SWE-bench, is highly configurable, and provides maximal agency to the underlying language model.
SWE-agent stands out for its ability to autonomously fix real-world GitHub issues and its highly configurable architecture, allowing researchers and developers to easily adapt it for various coding and cybersecurity tasks using their choice of language model.
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