
Tabby
Self-hosted, open-source GitHub Copilot alternative built on open-weights code models.
Tabby is a self-hosted, open-source GitHub Copilot alternative built on open-weights code models. Tabby is self-hosted, allowing code completion to run on the user's own infrastructure.
About Tabby
Tabby is a self-hosted, open-source alternative to GitHub Copilot, built on open-weights code models.
Its whole point is control: completion runs on your own infrastructure, the code is open source, and you choose the open-weights model behind it, with VS Code and JetBrains plugins.
It's for teams who want completion without sending code to a vendor. The trade-offs: self-hosting takes technical setup and adequate hardware (often a GPU), and output quality depends on which open-weights model you deploy behind it.
It's the self-hosted, open option where Copilot and Tabnine are managed services.
Sources: tabby.tabbyml.com, this listing
What it does well
- Tabby is self-hosted, allowing code completion to run on the user's own infrastructure.
- Tabby is open-source and built on open-weights code models.
- Tabby provides a VS Code extension for in-editor code completions.
- Tabby provides a JetBrains plugin for in-editor code completions.
Where it falls short
- Self-hosting requires technical setup and adequate local hardware (often a GPU) to run the underlying model.
- Tabby's output quality depends on which open-weights model the operator deploys behind it.
Tagged
- Self-hostable
- Supports Local Models
- VS Code Extension
- JetBrains Plugin
- Free
- Freemium
- Open Source
Compared with similar things
Picked by shared tags inside the Code Completion.
- 01Freemium →Stable Diffusion
Open-weights text-to-image model by Stability AI, runnable locally on consumer GPUs and via dozens of third-party UIs.
- 02Freemium →CrewAI
Open-source framework for orchestrating role-playing multi-agent teams in Python.
- 03Free →Continue
Open-source AI code assistant for VS Code and JetBrains, with full BYOK and local-model support.
- 04Freemium →Invoke
Open-source Stable Diffusion suite with a professional canvas, ControlNet pipeline, and team features.
- 05Freemium →n8n
Open-source workflow automation with native LLM nodes — self-host on your own infrastructure.
- 06Freemium →LangChain
Most-used framework for building LLM applications with retrieval, agents, and chains.
Related reading
- The Best Vibe Coding Tools
The best vibe-coding tools aren't another AI model — they're the open-source Claude Code repos you stack on top of it. The right ones turn the agent from a fancy autocomplete into a disciplined senior engineer: it plans before it codes, designs properly, maps your codebase, and gets scanned for security. Here are eight worth installing.
Read guide → - How to Build an MVP with AI
You don't start by building. You start by finding the one assumption that would kill the idea, then build the smallest thing that tests it. Here's the full idea-to-deployed workflow from a live AI build session: research the market with ChatGPT, pick a segment on unit economics, have AI write the PRD, then vibe-code and ship with Claude Code — in a couple of hours, not a quarter.
Read guide → - What Is an AI Agent Harness? The Runtime That Turns an LLM Into an Agent
A harness is the runtime wrapper that turns a bare language model into an agent — the layer that runs tools, holds memory, assembles context, and enforces limits. The model does the reasoning; the harness does everything the model can't do on its own. It's the part that decides whether you shipped a chatbot or a real agent — and it's why the same model feels brilliant in one tool and useless in another.
Read guide →
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</a>Frequently asked questions
- What is Tabby?
- Tabby is a self-hosted, open-source GitHub Copilot alternative built on open-weights code models.
- Is Tabby free?
- Tabby offers a free tier and paid plans with higher limits or premium features.
- What platforms does Tabby support?
- Tabby runs on vscode-ext, jetbrains-plugin, mac, win, linux.
- What category does Tabby belong to?
- Tabby is in the Code Completion category — Inline AI suggestion extensions for existing IDEs — Copilot-style autocomplete, low-latency model servers, BYOK.
- What are the downsides of Tabby?
- Self-hosting requires technical setup and adequate local hardware (often a GPU) to run the underlying model. Tabby's output quality depends on which open-weights model the operator deploys behind it.