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SWE-agent vs Roo Code

SWE-agent and Roo Code are both popular tools in the AI Agents space. Both use a open-source pricing model, with SWE-agent starting at Free and Roo Code at Free. Both offer a free tier to get started. Below we break down features, pricing, strengths, and weaknesses to help you decide which tool fits your workflow best.

Last updated: July 2026

Quick Verdict

Choose SWE-agent if you want princeton's autonomous ai agent for solving real github issues.. SWE-agent's biggest strengths include research-backed with proven benchmark performance and fully open-source from princeton university. Choose Roo Code if you prefer ai coding agent for vs code with customizable autonomous modes.. Key advantages include highly customizable mode system for different workflows and open-source and free with your own api keys. It's also rated higher (4.0 vs 3.8).

SWE-agent

Princeton's autonomous AI agent for solving real GitHub issues.

AI Agents
★ ★ ★ ★ ★
3.8
Roo Code

AI coding agent for VS Code with customizable autonomous modes.

Code Generation AI Agents
★ ★ ★ ★ ★
4.0
Pricing

open-source

Free

Free tier available

Visit SWE-agent →

open-source

Free

Free tier available

Visit Roo Code →
At a Glance
SWE-agent Roo Code
Pricing Free Free
Free Tier Yes Yes
Pricing Model Open-source Open-source
Rating ★ 3.8 ★ 4.0
Categories AI Agents Code Generation, AI Agents
Key Features 6 features 6 features
Feature-by-Feature Comparison
Feature SWE-agent Roo Code
Autonomous GitHub issue resolution ✓ —
Codebase navigation and file identification ✓ —
Automated code editing and patch generation ✓ —
Strong SWE-bench benchmark performance ✓ —
Support for multiple LLM backends ✓ —
Configurable agent behavior and tools ✓ —
Autonomous coding agent in VS Code — ✓
Customizable modes for different task types — ✓
File creation, editing, and terminal commands — ✓
Browser interaction for testing and verification — ✓
Support for multiple LLM providers — ✓
Human-in-the-loop approval workflow — ✓
Pros & Cons

SWE-agent

Pros

  • + Research-backed with proven benchmark performance
  • + Fully open-source from Princeton University
  • + Effective at real-world bug fixing tasks
  • + Useful reference for AI agent research

Cons

  • − Research project — not designed for production use
  • − Requires significant setup and configuration
  • − API costs can be high for complex issues

Roo Code

Pros

  • + Highly customizable mode system for different workflows
  • + Open-source and free with your own API keys
  • + Active community with rapid development
  • + Flexible LLM provider support

Cons

  • − Requires your own API keys for LLM access
  • − Newer tool with smaller community than Cline
  • − Can consume significant API tokens on complex tasks

The Bottom Line

Choose SWE-agent if: you want princeton's autonomous ai agent for solving real github issues.. It's completely free to use. Keep in mind: research project — not designed for production use.

Choose Roo Code if: you prefer ai coding agent for vs code with customizable autonomous modes.. It's completely free to use. It holds a higher user rating (4.0 vs 3.8). Keep in mind: requires your own api keys for llm access.

Both tools compete in the AI Agents space. The right choice depends on your specific needs, team size, and budget.

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