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SWE-agent
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SWE-agent

2 Tools

SWE-agent is an open-source research project originating at Princeton University (with contributors from Stanford University) that builds AI agents capable of autonomously resolving real-world GitHub issues by browsing, editing, and executing code via an "Agent-Computer Interface." First released as princeton-nlp/SWE-agent, the work was published at NeurIPS 2024 and the team also created SWE-bench, a widely used benchmark for evaluating coding agents. The organization, now hosted at github.com/swe-agent, maintains related tooling including mini-SWE-agent and SWE-ReX, a sandboxed execution environment for AI agents.

Tools

SWE-agent(github.com/swe-agent/swe-agent)

Research framework from Princeton and Stanford that lets an LLM autonomously fix real GitHub issues and coding tasks.

AI AgentsOpen SourceCoding Agents★ 20.5kMITbuilt by swe-agent
mini-swe-agent(github.com/swe-agent/mini-swe-agent)

100-line Python coding agent that relies only on bash, with no tool-calling APIs, yet scores 74%+ on SWE-bench Verified.

AI AgentsOpen SourceCoding Agents★ 8.4kMITbuilt by swe-agent