SWE-agent

SWE-agent

SWE-agent from Princeton NLP turns any LLM into a software engineering agent capable of finding and fixing bugs in real-world GitHub repositories. It uses a carefully designed Agent-Computer Interface (ACI) that gives the model specialised commands for navigating codebases — dramatically improving performance over raw tool-use.

Key Features

• Agent-Computer Interface: custom shell commands (search_file, view_file, edit_file) optimised for LLM code navigation
• SWE-bench compatible: benchmarked on the full SWE-bench Verified dataset; reproducible evaluation scripts included
• Multi-model: GPT-4o, Claude, Gemini, and any LiteLLM endpoint
• Batch mode: run the agent over a dataset of issues in parallel for evaluation
• Web UI: interactive traj viewer to replay and debug agent trajectories step-by-step
• Extensible: plug in custom tools, filters, and cost controls

Quick Start

pip install sweagent

# Fix a GitHub issue
swe-agent run \
  --model_name claude-sonnet-4-5 \
  --data_path https://github.com/owner/repo/issues/42 \
  --repo_path /path/to/local/repo

npx ai-supply add swe-agent-github-issue-solver

Curated mirror of the open-source SWE-agent (MIT). Get it from the source.