SWE-agent/SWE-agent

Health v2 · maintenance only

Adoption not part of the score

20147 stars · 2206 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

SWE-agent is a Python framework that lets a language model autonomously use tools to fix GitHub issues, find cybersecurity vulnerabilities, or solve coding challenges. It achieved state-of-the-art results on SWE-bench and is configurable via a single YAML file.

Use cases

• automatically fix github issues with an llm
• run ai agent on swe-bench benchmark
• find cybersecurity vulnerabilities with an ai agent
• solve competitive coding challenges with an llm agent
• build a custom autonomous coding agent
• research on language model agents

When to choose

• you want an LLM to autonomously resolve real repository issues
• you need a hackable, research-friendly agent framework with SWE-bench SOTA results
• you want to benchmark or evaluate LLMs on software engineering tasks

When to avoid

• you want the team's actively developed successor - use mini-swe-agent instead
• you need a production CI bot rather than a research/benchmark tool
• you want a fully managed commercial service

Facets

framework · maturity maintenance

agent-framework llm-inference developer-tools large-language-models developer-tools security python cli swe-bench autonomous-agents automated-bug-fixing cybersecurity research ai-agents docker

Member repositories

For agents

markdown · JSON · MCP: product_card(name="SWE-agent/SWE-agent")