将大模型转化为软件工程智能体，用于修复 GitHub 存储库中的错误和问题。
Kilian Lieret
a0db8b187e
CI: Reduce MLC false failures; make work on github
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README.md
Documentation | Discord | Preprint | EnIGMA preprint
SWE-agent turns LMs (e.g. GPT-4) into software engineering agents that can resolve issues in real GitHub repositories and more.
On SWE-bench, SWE-agent resolves 12.47% of issues of the full test set and 23% of issues of SWE-bench lite. SWE-agent EnIGMA solves more than 3x more challenges of the offensive cybersecurity NYU CTF benchmark than the previous SOTA agent.
We accomplish our results by designing simple LM-centric commands and feedback formats to make it easier for the LM to browse the repository, view, edit and execute code files. We call this an Agent-Computer Interface (ACI). Read more about it in our paper!
SWE-agent is built and maintained by researchers from Princeton University.
🚀 Get started!
👉 Try SWE-agent in your browser: 
Read our documentation to learn more:
- Installation
- Command line usage
- Using the web UI
- Benchmarking on SWE-bench
- Frequently Asked Questions
Our most recent lecture touches on the project's motivation, showcases our research findings and provides a hands-on tutorial on how to install, use, and configure SWE-agent:
🕵️ SWE-agent for offensive cybersecurity (EnIGMA)
SWE-agent: EnIGMA (Enhanced Interactive Generative Model Agent) is a mode for solving offensive cybersecurity challenges. EnIGMA achieves SOTA on multiple cybersecurity benchmarks (see leaderboard). The EnIGMA project introduced multiple novelties that are available to all use cases of SWE-agent, such as Interactive Agent Tools and a Summarizer to handle long outputs.
💫 Contributions
- If you'd like to ask questions, learn about upcoming features, and participate in future development, join our Discord community!
- If you'd like to contribute to the codebase, we welcome issues and pull requests!
Contact person: John Yang and Carlos E. Jimenez (Email: johnby@stanford.edu, carlosej@princeton.edu).
📝 Citation
If you found this work helpful, please consider citing it using the following:
@misc{yang2024sweagent,
title={SWE-agent: Agent-Computer Interfaces Enable Automated Software Engineering},
author={John Yang and Carlos E. Jimenez and Alexander Wettig and Kilian Lieret and Shunyu Yao and Karthik Narasimhan and Ofir Press},
year={2024},
eprint={2405.15793},
archivePrefix={arXiv},
primaryClass={cs.SE}
}
🪪 License
MIT. Check LICENSE.