Open-Source AI · Coding assistant

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 olud.ai

Choose Tabby for teams wanting fully self-hosted completions. Choose Goose for local agentic coding with MCP tools.

Tabby vs Goose at a glance

SpecTabbyGoose
CategoryCoding assistantCoding assistant
TypeSelf-hosted completion serverAgentic dev assistant
LicenseApache-2.0Apache-2.0
Runs locallySelf-hostedYes
Primary languageRustRust
Ease of useIntermediateIntermediate
Best forteams wanting fully self-hosted completionslocal agentic coding with MCP tools
GitHub stars33.7k

How Tabby and Goose score

🤝 Too close to call — Tabby and Goose land within a hair (4.4 vs 4.5 / 5). Pick on fit, not on score.
CriterionTabbyGoose
Popularity4.0n/a
Maintenance5.0n/a
Ease of use3.53.5
Privacy4.55.0
License freedom5.05.0

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

Self-hosted completion server · Apache-2.0

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
See the Tabby page →

Goose

Agentic dev assistant · Apache-2.0

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
Visit Goose →

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.

People also compare

Explore more open-source AI

Browse thousands of open-source AI tools, models and projects — all curated in one place, updated daily.

Explore the directory →