Tool dossier

SWE-agent

State-of-the-art AI agent that uses language models like GPT-4o to autonomously solve GitHub issues, fix bugs, and implement features with configurable YAML setup.

1 sources 18,982 stars MIT

Product snapshot

How the interface presents itself

SWE-agent interface screenshot

Positioning

What this project is really offering

The goal here is to separate raw catalog facts from the sharper product shape users care about before they commit time.

About

SWE-agent enables language models like GPT-4o or Claude Sonnet 3.7 to autonomously use tools to solve GitHub issues, fix bugs, and implement new features. Built by researchers from Princeton and Stanford Universities, it achieves state-of-the-art performance on SWE-bench among open-source projects. Key Features: The platform provides comprehensive documentation including installation guides, tutorials, and API references. Whether you're looking to automate code fixes, resolve complex GitHub issues, or conduct AI research, SWE-agent offers a robust foundation with proven academic backing and real-world performance.

Highlights

The capabilities most worth remembering

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🏆 SOTA Performance

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🔧 Fully Configurable

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🎯 Research-Ready

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🚀 Free-flowing Agency

Evidence

What backs up the editorial summary

Primary source links