SWE-agent

[!warning] Most of our current development effort is on mini-swe-agent, which has superseded SWE-agent. It matches the performance performance of SWE-agent, while being much simpler. See the FAQ for more details about the differences. Our general recommendation is to use mini-SWE-agent instead of SWE-agent going forward.

SWE-agent enables your language model of choice (e.g. GPT-4o or Claude Sonnet 4) to autonomously use tools to fix issues in real GitHub repositories, find cybersecurity vulnerabilities, or perform any custom task.

• ✅ State of the art on SWE-bench among open-source projects
• ✅ Free-flowing & generalizable: Leaves maximal agency to the LM
• ✅ Configurable & fully documented: Governed by a single yaml file
• ✅ Made for research: Simple & hackable by design

SWE-agent is built and maintained by researchers from Princeton University and Stanford University.

📣 News

• July 24: Mini-SWE-Agent achieves 65% on SWE-bench verified in 100 lines of python!
• May 2: SWE-agent-LM-32b achieves open-weights SOTA on SWE-bench
• Feb 28: SWE-agent 1.0 + Claude 3.7 is SoTA on SWE-Bench full
• Feb 25: SWE-agent 1.0 + Claude 3.7 is SoTA on SWE-bench verified
• Feb 13: Releasing SWE-agent 1.0: SoTA on SWE-bench light & tons of new features
• Dec 7: An interview with the SWE-agent & SWE-bench team

🚀 Get started!

👉 Try SWE-agent in your browser: (more information)

Read our documentation to learn more:

• Installation
• Hello world from the command line
• Benchmarking on SWE-bench
• Frequently Asked Questions

SWE-agent for offensive cybersecurity (EnIGMA)

SWE-agent: EnIGMA is a mode for solving offensive cybersecurity (capture the flag) challenges. EnIGMA achieves state-of-the-art results on multiple cybersecurity benchmarks (see leaderboard). Please use SWE-agent 0.7 while we update EnIGMA for 1.0.

In addition, you might be interested in our other projects: