SWE-agent is a research framework that enables large language models (LLMs) like GPT-4o or Claude Sonnet to autonomously interact with codebases, fix GitHub issues, and perform complex software engineering tasks. It provides a configurable, tool-using agent environment built by researchers at Princeton and Stanford. The tool is designed for maximum agent autonomy and is highly hackable. It's configured via a single YAML file and supports adding custom tools. While it's state-of-the-art on the SWE-bench benchmark, the project is now in maintenance mode, with development focused on its successor, mini-swe-agent.
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