SWE-agent
by SWE-agent · Language-model agent that fixes GitHub issues autonomously
12.3 — BenchRank score out of 100
Screenshots of SWE-agent
Homepage
Overview
SWE-agent lets a language model of your choice, such as GPT-4o or Claude Sonnet 4, autonomously use tools to fix issues in real GitHub repositories, find cybersecurity vulnerabilities or run custom tasks. Its behaviour is governed by a single YAML file, and it can be installed from source or run in the browser. It is built and maintained by researchers at Princeton and Stanford.
- Best for
- Researchers and engineers wanting a configurable LM agent to fix GitHub issues autonomously
- Pricing
- No pricing is shown on the captured page; the project is distributed through its GitHub repository.
Strengths and trade-offs
Strengths
- Works with your chosen LM, e.g. GPT-4o or Claude Sonnet 4
- Behaviour governed by a single documented YAML file
- State of the art on SWE-bench among open-source projects
- Covers GitHub issues, security vulnerabilities and custom tasks
Trade-offs
- In maintenance-only mode; the team now recommends mini-swe-agent
- Research-oriented and hackable by design, not a packaged product
- You supply your own language model and API keys
How this score is made up
Each dimension is scored out of 100 and combined into the headline score using fixed weights.
- MCP support
- 0 out of 100
- API quality
- 0 out of 100
- Documentation
- 0 out of 100
- Agent friendliness
- 18 out of 100
- Changelog
- 25 out of 100
- Marketing site structure
- 70 out of 100
- Operational trust
- 0 out of 100
Measured, but not part of the score
Useful to know, but not a mark for or against the product — so these do not affect the ranking.
- Openness
- 60 out of 100
- Maintenance
- 100 out of 100
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