OpenCode vs goose
The two leading open-source coding agents compared - adoption and ergonomics against governance and provider reach.
Verdict
If you have already decided on open source, this is the decision that remains. OpenCode is far larger by adoption, which mostly means faster answers when you get stuck. goose is Apache-2.0 under Linux Foundation stewardship with documented support for 15+ providers including local Ollama. Neither is a wrong answer; they are optimised for different anxieties.
What actually separates them
Community size against governance guarantees. OpenCode wins on people; goose wins on who is holding the keys. Both are permissively licensed, so neither locks you in.
OpenCode vs goose: side by side
| Feature | OpenCode | goose |
|---|---|---|
| License | MIT | Apache-2.0 |
| Language | TypeScript | Rust |
| Interface | CLI, TUI, Desktop app, Web UI | CLI, Desktop app, API |
| Model-agnostic | — | Yes |
| Providers | — | Anthropic, OpenAI, Google, Ollama, OpenRouter, Azure OpenAI, AWS Bedrock, Other |
| Local models | — | Full |
| MCP | — | Native |
| Code execution | Native | Native |
| Browser/computer use | — | — |
| Self-host difficulty | Easy | Easy |
| Min RAM (measured) | — | — |
| Idle RAM (measured) | — | — |
| Deploy | Native, Binary | Binary, Native |
| Pricing | Free / OSS | Free / OSS |
| Maturity | — | — |
= one-click hosting on AgentOcean. Matrices are objective; recommendations reflect our first-party deployment experience. Data last verified 2026-08-27.
OpenCode
Open-source terminal-first coding agent, distributed through most major package managers, with a permission prompt before running shell commands.
goose
Open-source extensible AI agent that installs, executes, edits and tests with any LLM, rather than only suggesting code.
Which should you pick?
Pick OpenCode if…
You want the biggest community, the widest packaging, and the smallest chance of hitting an unanswered question.
Pick goose if…
You want foundation stewardship, explicit multi-provider support, and first-class local models.
What this comparison does not settle
We host neither, and have measured neither on our own infrastructure - so this page has no first-party footprint data and no incentive pulling either way. Neither this page nor any table on it tells you which writes better code - we have not benchmarked output quality, and would rather say so than imply a ranking we cannot support.
Run either on your own VPS
One-click deploy the ⚡ agents on a hardened AgentOcean VPS, or self-host any of them with our guides.