Tabby
Overview
A self-hosted, open-source AI coding assistant that provides an alternative to GitHub Copilot. It allows teams to keep their code on-premise while still benefiting from AI-powered completions.
Tabby is an open-source, self-hosted coding assistant you run on your own infrastructure, including consumer GPUs. It gives teams Copilot-style completions and chat without sending a single line of code to an external service, and it supports a range of open models. Because it is self-managed, it appeals to teams that value control and predictable cost over turnkey convenience.
Key Features
- Fully self-hosted, no external API calls required
- Runs on your own GPUs, including consumer hardware
- Open-source under a permissive license
- Completions and chat across popular IDEs
- Repository context indexing for better suggestions
Best For
Privacy-focused teams that want to run their own coding assistant on their own hardware.
Pros & Cons
Pros
- Complete control over data and infrastructure
- No per-seat subscription cost
- Transparent, inspectable open-source code
Cons
- Requires hardware and ops effort to run well
- Open-model quality depends on what you can host
Pulse Verdict
“The privacy-first developer's choice. Tabby brings the power of Copilot to your own infrastructure, ensuring your proprietary code never leaves your network.”
Pricing
Free and open-source; you pay only for the hardware you run it on. Paid Enterprise edition available.
Pricing changes often — confirm current plans on the official site.