AI tool

Tabby

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Serve AI code completion and repository-aware assistance from infrastructure you operate.

Starting price
$0 software licence
Free access
Self-managed edition
Billing unit
Compute / provider usage separate
Platform
Self-hosted server + editor
Verified
17 Oct 2026

Overview

What you provide

  • You provide editor code context, repository context and configured models.

What you get

  • You receive code completions and contextual coding answers.

Choosing this tool

Choose Tabby when controlling the coding-assistant server matters more than avoiding infrastructure work. It fits an editor connected to a managed internal service. Choose Aider for terminal-based repository edits or Cline for an editor agent that proposes multi-step tool actions.

A decision worked through

For a small team, calculate server capacity and model memory before multiplying seats. Ten connected editors do not imply ten simultaneous generations fit the same GPU; pilot concurrency separately from account creation.

Tabby alternatives for the same workflow

For Tabby, compare operating a completion service with terminal-driven repository edits and an editor agent that invokes tools.

ProductDeployment requirementsFree allowanceInput → outputKey limit
TabbyRead profileOfficial source ↗Self-hosted completion server plus an editor extension; plan model memory and concurrent requests on the inference server. Enterprise code is separately licensed.Self-managed editionEditor code context, repository context and configured models → Code completions and contextual coding answersSee the product-specific review limits below.
AiderOfficial source ↗Terminal application connected to a Git repository and selected LLM endpoint; review the resulting diff. The model may run remotely or locally.Apache-2.0 coreRepository + chat → Reviewed code edits in a terminalRepository edits need diff review and project tests.
ClineOfficial source ↗Editor extension with tool permissions and a selected model endpoint; supervise shell/browser actions. Local inference hardware is optional when using a cloud provider.Apache-2.0 coreEditor task + repository → Proposed tool actions and code editsTool actions require appropriate permissions and supervision.

Setup & workflow

  1. Read server requirements.
  2. Deploy a supported model.
  3. Connect an editor.
  4. Test a small repository.
  5. Evaluate completion latency and access controls.
Requirements & installation
  • Self-hosted server + editor

Limits & review

  • Core code is Apache-2.0; the ee directory has separate terms. Hardware, hosting and model licences remain your responsibility. Suggested code requires tests and review.

Your part

  • Review suggested code for repository conventions and run the relevant project checks.
Sources & verification4

This profile is based on official sources, not a hands-on product test.

Vendor descriptions and demos document advertised features. Editorial guidance is based on these sources.