SWE-agent
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SWE-agent takes a GitHub issue and tries to automatically fix it, using your LM of choice. It can also be employed for offensive cybersecurity or competitive coding challenges. [NeurIPS 2024]
Stars
19,474
Δ stars 7d
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Δ stars 30d
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Forks
2,125
Contributors
100
npm DL / wk
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PyPI DL / wk
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Language
Python
Last push
2026-06-10
About SWE-agent
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. SWE-agent is built and maintained by researchers from Princeton University and Stanford University. [SWE-agent: EnIGMA][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…
Read the full README on GitHub →
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Frequently asked questions
- Is SWE-agent still maintained?
- Yes — actively maintained. The last push was on 2026-06-10, with 100 contributors.
- What are the best SWE-agent alternatives?
- Closest by category and size in our data: devika, Suna, SuperAGI — full list with live signals above.
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Tracked since 2026-06-10 · data as of 2026-06-10 · 25 open issues · 10 releases