SWE-agent vs Goose
SWE-agent and Goose are both popular tools in the AI Agents space. Both use a open-source pricing model, with SWE-agent starting at Free and Goose 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. It's also rated higher (3.8 vs 3.5). Choose Goose if you prefer block's open-source ai developer agent that automates coding tasks.. Key advantages include open-source and backed by block (square) and extensible toolkit system for custom workflows.
| SWE-agent | Goose | |
|---|---|---|
| Pricing | Free | Free |
| Free Tier | Yes | Yes |
| Pricing Model | Open-source | Open-source |
| Rating | ★ 3.8 | ★ 3.5 |
| Categories | AI Agents | AI Agents |
| Key Features | 6 features | 6 features |
| Feature | SWE-agent | Goose |
|---|---|---|
| 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 | ✓ | — |
| Terminal-based AI developer agent | — | ✓ |
| File creation, editing, and management | — | ✓ |
| Shell command execution and automation | — | ✓ |
| Extensible toolkit with custom integrations | — | ✓ |
| Support for multiple LLM providers | — | ✓ |
| Session memory for multi-turn interactions | — | ✓ |
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
Goose
Pros
- + Open-source and backed by Block (Square)
- + Extensible toolkit system for custom workflows
- + Terminal-native fits into existing dev workflows
- + Free to use with your own API keys
Cons
- − Terminal-only interface requires CLI comfort
- − Smaller community than Cline or Aider
- − Documentation still developing
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. It holds a higher user rating (3.8 vs 3.5). Keep in mind: research project — not designed for production use.
Choose Goose if: you prefer block's open-source ai developer agent that automates coding tasks.. It's completely free to use. Keep in mind: terminal-only interface requires cli comfort.
Both tools compete in the AI Agents space. The right choice depends on your specific needs, team size, and budget.
Claude Code
Devin
Cline
Aider
OpenHands
Sweep