SWE-agent
Autonomous AI agent that fixes GitHub issues using language models
Overview
SWE-agent enables your language model of choice (e.g. GPT-4o or Claude Sonnet 4) to autonomously use tools to fix issues in real GitHub repositories, find cybersecurity vulnerabilities, or perform any custom task. Built by researchers from Princeton University and Stanford University, it achieves state-of-the-art results on SWE-bench among open-source projects. It features a flexible configuration system, Docker-based sandboxing, and supports multiple LLM backends including OpenAI, Anthropic, and open-source models.
Requirements
Min vCPU
2
Min RAM
2048 MB
Min Disk
10 GB
Rec vCPU
4
Rec RAM
8192 MB
Rec Disk
20 GB
Recommended VPS
Hostinger · KVM 4
4 vCPU · 16384 MB · 200 GB
Hostinger · KVM 4
4 vCPU · 16384 MB · 200 GB
Hostinger · KVM 8
8 vCPU · 32256 MB · 400 GB
Affiliate disclosure
Docker Compose
# Generated by Run This Ai — docker-compose.yml
services:
swe-agent:
image: sweagent/swe-agent:latest
restart: unless-stopped
ports:
- 8080:8080
volumes:
- ./data/swe-agent:/data
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