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A data-grounded look at how these two coding & development tools stack up β to help you pick the right coding & development tool in 2026.
Quick verdict
Goose takes a 0.2-point lead on our Editor Score. Pick Goose if you want runs locally as desktop app, CLI, and API; choose Sourcegraph Cody for codebase context. On pricing, both ship a free or freemium tier, so you can try each before paying.
| Rating | 4.6 / 5 | 4.4 / 5 |
| Pricing | Free | Freemium |
| Free tier | ||
| Best for | runs locally as desktop app, CLI, and API | codebase context |
AInexfinder Editor Score β our editorial rating from features, value and pricing, blended with verified user reviews where a tool has them.
Open-source on-machine AI agent for developers
AI coding assistant with codebase context
Choose Goose ifβ¦
Choose Sourcegraph Cody ifβ¦
It comes down to fit, not a single winner: Goose leans into runs locally as desktop app, CLI, and API, while Sourcegraph Cody is built for codebase context. Goose edges the Editor Score (4.6 vs 4.4), but a 0.2-point gap rarely outweighs picking the tool whose features match your work. Both have a free or freemium tier, so spin up each and keep the one that clicks.
Goose has the higher AInexfinder Editor Score (our editorial rating from features, value and pricing, blended with verified user reviews where a tool has them), but "better" depends on your needs β compare features, pricing and the pros & cons above to decide.
Goose (free) is best for runs locally as desktop app, CLI, and API, while Sourcegraph Cody (freemium) is best for codebase context. See the full feature and pricing comparison above.
Both have paid plans β pricing depends on your usage tier. Open each tool's review for current prices, and watch for free trials.
Goose is usually the easier starting point thanks to a lower barrier to entry. Beginners should favour a free tier and a simple interface over raw power.
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Last updated June 2026. Comparisons are ranked by our Editor Score (features, value and pricing, blended with verified user reviews where a tool has them) β see our methodology.