Tabby vs 
Goose
Tabby vs Goose compared for 2026 — features, license, ease of use, performance and which one to choose. Self-hosted Copilot alternative vs On-machine AI agent for engineering tasks.
Updated regularly · curated by OpenSourceAI.tech
Tabby vs Goose at a glance
| Spec | Tabby | Goose |
|---|---|---|
| Category | Coding assistant | Coding assistant |
| Type | Self-hosted completion server | Agentic dev assistant |
| License | Apache-2.0 | Apache-2.0 |
| Runs locally | Self-hosted | Yes |
| Primary language | Rust | Rust |
| Ease of use | Intermediate | Intermediate |
| Best for | teams wanting fully self-hosted completions | local agentic coding with MCP tools |
| GitHub stars | 33.8k | — |
How Tabby and Goose score
| Criterion | Tabby | Goose |
|---|---|---|
| Popularity | 4.0 | n/a |
| Maintenance | 5.0 | n/a |
| Ease of use | 3.5 | 3.5 |
| Privacy | 4.5 | 5.0 |
| License freedom | 5.0 | 5.0 |
Scores are computed automatically from public signals — GitHub stars (popularity), recent commit activity (maintenance), license type (freedom), local-first design (privacy) and onboarding complexity (ease of use). Indicative, not a verdict.
What each one is
Tabby
Tabby is a self-hosted AI coding assistant that provides completions across editors without sending code to a third party, with a team server you run yourself.
- Fully self-hosted, code never leaves your network
- Editor-agnostic completions
- Team server with repository context
Goose
Goose, by Block, is an open-source on-machine AI agent that automates engineering tasks end to end — writing code, running commands and using tools via MCP.
- Runs on your machine, model-agnostic
- Extensible via MCP tools
- Automates real engineering tasks
Key differences
Tabby is self-hosted completion server, while Goose is agentic dev assistant. They also differ in how they run (Self-hosted vs Yes). In short, Tabby fits teams wanting fully self-hosted completions, and Goose fits local agentic coding with MCP tools.
Which should you choose?
Choose Tabby for teams wanting fully self-hosted completions. Choose Goose for local agentic coding with MCP tools.
There is rarely one winner — many setups use both. The right pick depends on your hardware, your team's skills, and whether you value simplicity or control.
Frequently asked questions
Is Tabby or Goose easier to use?
Both sit at a similar level (Intermediate). Your choice should come down to fit rather than difficulty.
Are Tabby and Goose free?
Tabby is free and open source (Apache-2.0), and Goose is free and open source (Apache-2.0). Neither charges for the core software.
Can I run Tabby and Goose locally?
Tabby: self-hosted · Goose: yes. Both can be used without sending your data to a third-party cloud where their setup allows.
Tabby vs Goose — which should I pick in 2026?
Choose Tabby for teams wanting fully self-hosted completions. Choose Goose for local agentic coding with MCP tools.
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