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@SWE-bench

SWE-bench

Organization for maintaining SWE-bench and related projects
README.md

📣 New: Meet mini, the 100 line AI agent that still gets 65% on SWE-bench verified!

SWE-bench    SWE-agent    SWE-smith    mini-SWE-agent    SWE-ReX    sb-cli

Software engineering agents, benchmarks, and models.
Built and maintained by researchers from Stanford University and Princeton University.

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This organization contains the source code for several projects in the SWE-* open source ecosystem, including:

  • SWE-bench, a benchmark for evaluating AI systems on real world GitHub issues.
  • SWE-agent, a system that automatically solves GitHub issues using an LM agent.
  • SWE-smith, a toolkit for generating SWE training data at scale.
  • mini, an AI agent written in just 100 lines of code that scores 65% on SWE-bench verified

Also check out the supporting infrastructure for working with SWE-* projects

  • SWE-ReX, infrastructure supporting sandboxed code execution for AI agents
  • sb-cli, a command line interface for running evaluations on the cloud.
  • Mirror clones for the SWE-bench and SWE-smith repositories are available here and here.

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  1. SWE-bench SWE-bench Public

    SWE-bench [Multimodal]: Can Language Models Resolve Real-world Github Issues?

    Python 3.2k 570

  2. SWE-smith SWE-smith Public

    Scaling Data for SWE-agents

    Python 317 43

  3. experiments experiments Public

    Open sourced predictions, execution logs, trajectories, and results from model inference + evaluation runs on the SWE-bench task.

    Shell 194 216

  4. sb-cli sb-cli Public

    Run SWE-bench evaluations remotely

    Python 31

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