1 min readFreemium

Tabby

Tabby is the open-source, self-hosted AI coding assistant that lets you keep your code where it belongs - on your own machines, not floating around someone else's cloud. Think of it as GitHub Copilot's privacy-obsessed cousin who insists on running everything locally, no external databases required.

// at a glance

Is Tabby free?
Freemium. Partly. Tabby has a free plan, with paid plans for more features or usage.
Category
#Web Development
Website
tabbyml.com ↗
Tabby
👉 Try Tabby

Tabby is the open-source, self-hosted AI coding assistant that lets you keep your code where it belongs - on your own machines, not floating around someone else's cloud. Think of it as GitHub Copilot's privacy-obsessed cousin who insists on running everything locally, no external databases required. Drop it in with a single Docker command and you're off to the races.

Main Features

  • Self-hosted code completion: Full AI-powered inline code suggestions running entirely on your own infrastructure, with no data ever leaving your servers.
  • Answer Engine: A built-in chat interface that answers coding questions by pulling context from your codebase, documentation, and internal knowledge - right inside your IDE.
  • No external dependencies: Completely self-contained with no need for a DBMS or cloud service - just Docker and a GPU (consumer-grade works fine).
  • Multi-IDE support: Extensions available for VS Code, JetBrains IDEs, and Vim/Neovim, with an OpenAPI interface for integrating into custom or cloud IDEs.
  • Flexible model selection: Swap between different backend models including StarCoder, CodeLlama, CodeQwen, Codestral, and more - pick what works for your stack.
  • Repository context awareness: Uses RAG-based code completion that pulls relevant snippets from your entire repo, including recently modified files and LSP declarations.
  • Team management and analytics: Built-in admin UI with team management, usage analytics, and activity tracking so you know who's using what.
  • Enterprise authentication: LDAP integration, GitLab SSO, GitHub/GitLab context indexing, and secured access controls for larger teams.

Who Should Use It?

  • Privacy-conscious developers: Anyone who wants AI code completion without shipping their proprietary codebase to a third-party cloud.
  • Enterprise engineering teams: Companies that need AI coding tools but have strict data residency or compliance requirements (SOC 2, HIPAA, etc.).
  • Startup engineering leads: Teams that want Copilot-level assistance at a fraction of the per-seat cost by running their own instance.
  • Open-source maintainers: Developers who prefer open-source tooling and want to inspect, modify, or contribute to their AI coding assistant.
  • Cloud IDE operators: Platforms running browser-based IDEs that want to plug in AI code completion via Tabby's OpenAPI interface.
  • Freelance developers: Solo devs who can run Tabby on their own workstation GPU and avoid monthly subscription fees.