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SWE-agent

Takes a GitHub issue and autonomously tries to fix it with your LLM of choice; also usable for offensive cybersecurity and competitive coding challenges (NeurIPS 2024).

Overview

SWE-agent gives an LLM a custom agent-computer interface for navigating and editing code repositories, then points it at a real GitHub issue and lets it attempt an automatic fix -- generating a pull-request-ready patch. It originates from the academic team behind the SWE-bench benchmark, which is now widely used to measure coding-agent performance across the industry.

SWE-agent is a fit for teams and researchers who want a rigorously benchmarked, research-grade autonomous issue-resolution agent, or who want to reuse the same agent-computer interface for adjacent tasks like security research and competitive programming.

Categories
AI Agents & Agent Tools
Keywords
coding-agentissue-resolutionswe-benchautonomous-agent
Languages
Python
License
MIT

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