SWE-agent lets LLMs autonomously fix GitHub issues and find security vulnerabilities. 18.9K+ stars. State-of-the-art on SWE-bench. MIT.
This block should tell both the user and the agent what to copy, install, and apply first.
# Install
pip install sweagent
# Fix a GitHub issue
sweagent run --agent.model.name=claude-sonnet-4-20250514 \
--problem_statement.github_url=https://github.com/owner/repo/issues/123
# Or run on SWE-bench
sweagent run --problem_statement.swe_bench_id=django__django-11905SWE-agent enables language models like GPT-4o or Claude Sonnet to autonomously fix GitHub issues, identify cybersecurity vulnerabilities, or tackle custom coding challenges. With 18,900+ GitHub stars and MIT license from Princeton and Stanford, it achieves state-of-the-art performance on SWE-bench among open-source tools. Features flexible agent design, single YAML configuration, and a research-friendly hackable codebase.
Best for: Teams wanting AI to automatically resolve GitHub issues and bugs Works with: Claude Code, OpenAI Codex, Cursor, Gemini CLI, Windsurf
Q: What is SWE-agent? A: Autonomous coding agent with 18.9K+ stars that fixes GitHub issues using LLMs. State-of-the-art on SWE-bench. Princeton/Stanford. MIT.
Q: How do I install SWE-agent?
A: pip install sweagent. Then sweagent run --problem_statement.github_url=
SWE-agent/SWE-agent — 18,900+ GitHub stars
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