Tabby

Tabby is a self hosted coding assistant, offered as an on premises alternative to hosted completion services for teams whose source code is not allowed to leave the building. It is self contained, needing neither a database server nor a cloud service behind it.

Integration is meant to be undemanding. An OpenAPI interface exposes the server to existing infrastructure such as a cloud IDE, and inference runs on consumer grade GPUs, with Apple Metal support for M1 and M2 machines.

The project has grown well past plain autocomplete.

• Repository aware completion: retrieval over the repository, plus declarations from the local language server and recently modified code, feeding each suggestion.
• Answer engine: a knowledge engine for an engineering team, answering from internal data and turning threads into persistent, shareable pages.
• Editor extensions: plugins for VS Code, Vim and IntelliJ, with chat in a side panel, file mentions as context and inline editing.
• Source integrations: self hosted GitHub and GitLab, GitLab merge requests indexed as context, and your own documentation added through REST APIs.
• Administration: an admin interface with team management, secured access, usage reports and LDAP authentication.

The quickest start is a single Docker command that mounts a data directory, exposes port 8080 and names both a completion model and a chat model, while a published model registry lists what is supported. Deployment guides also cover running the server on cloud infrastructure.