Goose vs SWE-agent
Goose and SWE-agent are both popular tools in the AI Agents space. Both use a open-source pricing model, with Goose starting at Free and SWE-agent 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 Goose if you want block's open-source ai developer agent that automates coding tasks.. Goose's biggest strengths include open-source and backed by block (square) and extensible toolkit system for custom workflows. Choose SWE-agent if you prefer princeton's autonomous ai agent for solving real github issues.. Key advantages include research-backed with proven benchmark performance and fully open-source from princeton university. It's also rated higher (3.8 vs 3.5).
| Goose | SWE-agent | |
|---|---|---|
| Pricing | Free | Free |
| Free Tier | Yes | Yes |
| Pricing Model | Open-source | Open-source |
| Rating | ★ 3.5 | ★ 3.8 |
| Categories | AI Agents | AI Agents |
| Key Features | 6 features | 6 features |
| Feature | Goose | SWE-agent |
|---|---|---|
| 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 | ✓ | — |
| 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 | — | ✓ |
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
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
The Bottom Line
Choose Goose if: you want 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.
Choose SWE-agent if: you prefer 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.
Both tools compete in the AI Agents space. The right choice depends on your specific needs, team size, and budget.
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