Getting Started
We recommend mini-swe-agent instead of SWE-agent
Most of our current development effort is on mini-swe-agent, which has superseded SWE-agent. It matches the performance of SWE-agent, while being much simpler. See the FAQ for more details about the differences.
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
yamlfile - ✅ 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!
- July 9: Multimodal support for SWE-agent - Process images from GitHub issues with vision-capable AI models
- 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
✍️ Doc updates
- June 26: Adding custom tools
- Apr 8: Running SWE-agent competitively
- Mar 7: Updated SWE-agent architecture diagram of 1.0
