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Tabby

Open source · OSI-approvedStatus: unknownNew

Self-hosted AI coding assistant and Copilot alternative

Alternative to GitHub Copilot

Tabby is a self-hosted AI coding assistant from TabbyML. Your team runs its own completion server with its own models, and developers get code completion, codebase answers, and inline chat inside their editors without sending code to a third-party cloud.[1][2]

Quick verdict

Teams that must keep code on their own infrastructure should shortlist Tabby: it is a self-hosted AI coding assistant with real-time completion, codebase answers, and inline chat, free for up to 5 users. You operate the server and choose the models, so pick it when control matters more than convenience; if you want a managed service with nothing to run, GitHub Copilot remains the simpler choice.[1][2][3]

What Tabby does

  • Tabby suggests multi-line completions and full functions in real time as you write, with an adaptive caching strategy aimed at sub-second responses.[1]

  • The answer engine gives coding answers grounded in your connected data sources without leaving the IDE, and persistent shareable pages were added for its messages.[1][2]

  • Inline chat and editing work directly in the editor, including explaining selections and starting inline edits from a command.[1]

  • The server is self-contained with no DBMS or cloud service required, exposes an OpenAPI interface for integration with existing infrastructure, and runs on consumer-grade GPUs.[1][2]

Who Tabby fits

  • Teams that must keep source code on their own infrastructure get Copilot-style assistance without a cloud dependency.[1][2]

  • Small teams up to 5 users can start free on Community, and growing organizations can step up to Team or Enterprise plans with group management.[1][2]

  • Shops standardized on VS Code, JetBrains IDEs, or Vim/Neovim can serve all of them from one self-hosted server with a curated models registry.[1][2]

Limitations to weigh

  • You operate the server: you pick completion and chat models, provision GPU or CPU capacity, and keep the deployment updated. There is no managed Tabby server offering confirmed in the observed pages.[1][2]

  • The free core sits alongside paid Team and Enterprise tiers and a separately licensed enterprise directory, so the fully open-source surface is narrower than the marketed feature set.[1][2]

  • Exact support SLAs, single sign-on, and data-region details were not stated in the observed pages, so regulated or large-enterprise buyers should confirm them before committing.[1]

Deployment and switching

Deployment runs through Docker and Docker Compose with CUDA GPU or CPU devices, plus Homebrew, Linux, Windows, and WSL2 install paths, serving a web UI on first run.[1]

Completion and chat models are configurable, with documented examples pairing StarCoder-class completion models and Qwen2-class instruct chat models.[1][2]

The vendor positions Tabby as an open-source, on-premises replacement for GitHub Copilot, which is the documented substitutable workflow behind its catalogue relationship.[1]

Questions worth asking

Is Tabby self-hosted?

Yes. Tabby is self-hosted and self-contained: you run its server with Docker, Docker Compose, Homebrew, or platform installers, and it needs no external database or cloud service. Extensions for VS Code, IntelliJ, Vim, and NeoVim then connect to your server.[1][2]

How much does Tabby cost?

The Community tier is free and open source for up to 5 users. The Team plan costs $19 per seat per month for up to 50 users, and Enterprise pricing is custom. The core is Apache-2.0 with a separately licensed enterprise directory.[1][2]

Which editors does Tabby work with?

The Tabby extension is available for VS Code (also via Open VSX for VSCodium), with documented install pages for the IntelliJ Platform and Vim/NeoVim. The server is configured once and shared across the IDEs your team uses.[1]

Should I choose Tabby or GitHub Copilot?

Choose Tabby when your code must stay on your own infrastructure and you want Copilot-style completion plus codebase chat under your control. Choose GitHub Copilot when you prefer a managed service with no server to operate. The vendor positions Tabby as the open-source, on-premises replacement; that claim is the vendor's, not GitHub's.[1]

Sources and editorial review

Source research. Reviewed on October 13, 2026. Written by Sanjib Sah. AI assisted; reviewed by a human editor.

We have not run or tested this product.

  1. Tabby official homepage

    official · Observed October 13, 2026

    Official homepage positions Tabby as an open-source, self-hosted AI coding assistant with completion, answer engine, inline chat, and data connectors, linking docs, pricing, and the GitHub repository.

  2. Tabby README

    official · Observed October 13, 2026

    README defines the self-hosted positioning, the GitHub Copilot alternative claim, self-contained deployment, OpenAPI interface, consumer-GPU support, and release history through v0.30.

  3. Tabby repository LICENSE

    official · Observed October 13, 2026

    Repository LICENSE grants Apache 2.0 outside the ee/ directory and third-party components; ee/ content carries its own license.

  4. Tabby docs welcome

    official · Observed October 13, 2026

    Docs welcome page describes running a team LLM-powered completion server, installation targets, IDE extensions, models registry, and API reference.

  5. Tabby Docker installation guide

    official · Observed October 13, 2026

    Docker guide runs the server container with completion and chat model flags on CUDA or CPU and a web UI on port 8080.

  6. Tabby VS Code extension docs

    official · Observed October 13, 2026

    Extension docs cover VS Code plus IntelliJ Platform and Vim/NeoVim pages, with autocomplete, chat, and inline editing.

  7. Tabby pricing

    official · Observed October 13, 2026

    Pricing page lists Community free up to 5 users, Team at $19 per seat per month up to 50 users, and custom Enterprise plans.

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