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Tabby
Pricing
- Model
- Free
Summary
Tabby is a self-hosted AI coding assistant that runs entirely on your infrastructure with no cloud dependency.
Tabby delivers code completion, chat, and task automation through a deployable backend you control, eliminating reliance on third-party API providers. The tool is built for teams that can't send code to external servers—financial institutions, defense contractors, or enterprises with strict data residency rules. Its core differentiator is genuine self-hosting: no vendor lock-in, no external databases, no subscriptions. Tabby is free and open-source. The catch is real: you need GPU hardware, DevOps capacity to run it, and the maturity to handle your own infrastructure. The agentic task automation layer (Pochi) remains in private preview and isn't generally available.
Bottom line: *Choose this if your team owns GPU infrastructure and data sovereignty is non-negotiable; skip it if you want simplicity and vendor support.*
Community Performance Report Card
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Pros
Sign in to edit- Fully open-source and self-hosted with no vendor lock-in
- No external databases or cloud services required
- Agentic multi-step task automation with Pochi agent
- Support for multiple popular IDEs and code editors
- End-to-end stack optimization for fast completions under 1 second
Cons
Sign in to edit- Requires infrastructure management and GPU resources for optimal performance
- Agent (Pochi) is in private preview, not fully released to general availability
- Steeper setup complexity compared to cloud-based alternatives
About
- Platforms
- Linux, macOS, Windows (via Docker); Cloud IDEs; AWS, GCP, Azure
- Languages
- All (language-agnostic; supports any language supported by underlying LLM)
- API Available
- Yes
- Self-Hosted
- Yes
- Last Updated
- 2026-04-25T17:16:22.767Z
Best For
Who it's for
- Teams requiring on-premises deployment and data sovereignty
- Organizations with existing GPU infrastructure
- Projects needing customizable and auditable AI assistance
- Development teams automating CI/CD and GitHub workflows
- Companies optimizing long-term costs for large developer populations
What it does well
- Self-hosted code completion for teams with strict data privacy requirements
- On-premises AI coding assistance for regulated industries
- Multi-step development task automation via autonomous agent (Pochi)
- Integration with internal repositories and documentation systems
- Cost-effective alternative to per-seat commercial coding assistants at scale
Integrations
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Sign Up to ContributeFrequently Asked Questions
- Is Tabby free?
- Yes — Tabby is fully free to use. There is no paid tier.
- Is Tabby open source?
- No — Tabby is a closed-source tool. Source code is not publicly available.
- Does Tabby have an API?
- Yes. Tabby exposes a developer API. See the official documentation at https://tabbyml.com for details.
- Can I self-host Tabby?
- Yes. Tabby supports self-hosting on your own infrastructure.
- When was Tabby released?
- Tabby was first released in 2023.
- What platforms does Tabby support?
- Tabby is available on: Linux, macOS, Windows (via Docker); Cloud IDEs; AWS, GCP, Azure.
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Tabby is a self-hosted AI coding assistant that runs entirely on your infrastructure with no cloud dependency.
Tabby delivers code completion, chat, and task automation through a deployable backend you control, eliminating reliance on third-party API providers. The tool is built for teams that can't send code to external servers—financial institutions, defense contractors, or enterprises with strict data residency rules. Its core differentiator is genuine self-hosting: no vendor lock-in, no external databases, no subscriptions. Tabby is free and open-source. The catch is real: you need GPU hardware, DevOps capacity to run it, and the maturity to handle your own infrastructure. The agentic task automation layer (Pochi) remains in private preview and isn't generally available.
*Choose this if your team owns GPU infrastructure and data sovereignty is non-negotiable; skip it if you want simplicity and vendor support.*