Pricing
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Overview
Tabby is an open-source, self-hosted AI coding assistant positioned as an on-premises alternative to cloud services such as GitHub Copilot. It provides code completion, chat, repository-aware context, and developer-assistance features while allowing organizations to run the backend on their own infrastructure.
The project is self-contained and does not require an external database or mandatory cloud service. It exposes an OpenAPI interface, supports consumer-grade GPUs, and integrates with development environments through editor plugins. Over time, Tabby has added repository indexing, RAG-based code completion, team management, authentication, documentation context, GitLab merge-request context, persistent answer pages, and richer chat workflows.
Tabby is suited to developers and organizations that want AI-assisted coding while keeping source code and inference infrastructure under their own control. It can be particularly attractive in privacy-sensitive or regulated environments, and its open architecture makes it possible to integrate the coding assistant with internal development platforms rather than relying exclusively on a proprietary hosted service.
README
Tabby is a self-hosted AI coding assistant, offering an open-source and on-premises alternative to GitHub Copilot. It boasts several key features:
- Self-contained, with no need for a DBMS or cloud service.
- OpenAPI interface, easy to integrate with existing infrastructure (e.g Cloud IDE).
- Supports consumer-grade GPUs.
๐ฅ What's New
- 12/12/2025 Get your GitHub issues implemented by connecting them to Pochi tasks and create PRs directly from the sidebar with a breakdown of CI/Lint/Test results vscode@0.20.0.
- 07/02/2025 v0.30 supports indexing GitLab Merge Request as Context!
- 05/25/2025 ๐กInterested in joining Agent private preview? DM in X for early waitlist approval!๐ซ
- 05/20/2025 Enhance Tabby with your own documentation๐ through REST APIs in v0.29! ๐
- 05/01/2025 v0.28 transforming Answer Engine messages into persistent, shareable Pages
- 03/31/2025 v0.27 released with a richer
@menu in the chat side panel.
Archived
- 02/05/2025 LDAP Authentication and better notification for background jobs coming in Tabby v0.24.0!โจ
- 02/04/2025 VSCode 1.20.0 upgrade! @-mention files to add them as chat context, and edit inline with a new right-click option are available!
- 01/10/2025 Tabby v0.23.0 featuring enhanced code browser experience and chat side panel improvements!
- 12/24/2024 Introduce Notification Box in Tabby v0.22.0!
- 12/06/2024 Llamafile deployment integration and enhanced Answer Engine user experience are coming in Tabby v0.21.0!๐
- 11/10/2024 Switching between different backend chat models is supported in Answer Engine with Tabby v0.20.0!
- 10/30/2024 Tabby v0.19.0 featuring recent shared threads on the main page to improve their discoverability.
- 07/09/2024 ๐Announce Codestral integration in Tabby!
- 07/05/2024 Tabby v0.13.0 introduces Answer Engine, a central knowledge engine for internal engineering teams. It seamlessly integrates with dev team's internal data, delivering reliable and precise answers to empower developers.
- 06/13/2024 VSCode 1.7 marks a significant milestone with a versatile Chat experience throughout your coding experience. Come and they the latest chat in side-panel and editing via chat command!
- 06/10/2024 Latest ๐blogpost drop on an enhanced code context understanding in Tabby!
- 06/06/2024 Tabby v0.12.0 release brings ๐seamless integrations (Gitlab SSO, Self-hosted GitHub/GitLab, etc.), to โ๏ธflexible configurations (HTTP API integration) and ๐expanded capabilities (repo-context in Code Browser)!
- 05/22/2024 Tabby VSCode 1.6 comes with multiple choices in inline completion, and the auto-generated commit messages๐ฑ๐ป!
- 05/11/2024 v0.11.0 brings significant enterprise upgrades, including ๐storage usage stats, ๐GitHub & GitLab integration, ๐Activities page, and the long-awaited ๐คAsk Tabby feature!
- 04/22/2024 v0.10.0 released, featuring the latest Reports tab with team-wise analytics for Tabby usage.
- 04/19/2024 ๐ฃ Tabby now incorporates locally relevant snippets(declarations from local LSP, and recently modified code) for code completion!
- 04/17/2024 CodeGemma and CodeQwen model series have now been added to the official registry!
- 03/20/2024 v0.9 released, highlighting a full feature admin UI.
- 12/23/2023 Seamlessly deploy Tabby on any cloud with SkyServe ๐ซ from SkyPilot.
- 12/15/2023 v0.7.0 released with team management and secured access!
- 10/15/2023 RAG-based code completion is enabled by detail in v0.3.0๐! Check out the blogpost explaining how Tabby utilizes repo-level context to get even smarter!
- 11/27/2023 v0.6.0 released!
- 11/09/2023 v0.5.5 released! With a redesign of UI + performance improvement.
- 10/24/2023 โณ๏ธ Major updates for Tabby IDE plugins across VSCode/Vim/IntelliJ!
- 10/04/2023 Check out the model directory for the latest models supported by Tabby.
- 09/18/2023 Apple's M1/M2 Metal inference support has landed in v0.1.1!
- 08/31/2023 Tabby's first stable release v0.0.1 ๐ฅณ.
- 08/28/2023 Experimental support for the CodeLlama 7B.
- 08/24/2023 Tabby is now on JetBrains Marketplace!
๐ Getting Started
You can find our documentation here.
- ๐ Installation
- ๐ป IDE/Editor Extensions
- โ๏ธ Configuration
Run Tabby in 1 Minute
The easiest way to start a Tabby server is by using the following Docker command:
docker run -it \
--gpus all -p 8080:8080 -v $HOME/.tabby:/data \
tabbyml/tabby \
serve --model StarCoder-1B --device cuda --chat-model Qwen2-1.5B-Instruct
For additional options (e.g inference type, parallelism), please refer to the documentation page.
๐ค Contributing
Full guide at CONTRIBUTING.md;
Get the Code
git clone --recurse-submodules https://github.com/TabbyML/tabby
cd tabby
If you have already cloned the repository, you could run the git submodule update --recursive --init command to fetch all submodules.
Build
-
Set up the Rust environment by following this tutorial.
-
Install the required dependencies:
# For MacOS
brew install protobuf
# For Ubuntu / Debian
apt install protobuf-compiler libopenblas-dev
- Install useful tools:
# For Ubuntu
apt install make sqlite3 graphviz
- Now, you can build Tabby by running the command
cargo build.
Start Hacking!
... and don't forget to submit a Pull Request
๐ Community
- ๐ค Twitter / X - engage with TabbyML for all things possible
- ๐ LinkedIn - follow for the latest from the community
- ๐ Newsletter - subscribe to unlock Tabby insights and secrets
๐ Activity
๐ Star History
Releases
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