AI agent profile

Tabby

An open-source, self-hosted AI coding assistant with completion, chat, an answer engine and MCP agent mode, free for up to 5 users.

  • Free plan
  • AI assistant
  • Mixed sources

by TabbyMLAI Coding AgentsOpen-source, self-hosted AI coding assistant

  • Verified 13 Nov 2026Sources are dated on this profile
  • 4 sourcesLinked, typed and dated
  • Vendor and third-party sourcesHow this profile was compiled
  • Not an endorsementStack18 has not tested this product
Quick answer

What is Tabby?

Tabby is an open-source (Apache 2.0), self-hosted AI coding assistant from TabbyML, written in Rust. It provides code completion, an answer engine, inline chat, data connectors and an MCP agent mode, running entirely on your own infrastructure with open-weight models.

  • Best forTeams that must self-host
  • PricingCommunity free (up to 5 users); Team about $19 per user per month; Enterprise custom. Free plan available.
  • Main limitationRequires GPU hardware to self-host.
  • AlternativesTabnine · Refact.ai · Continue · compare all
Overview

Tabby overview: who it is for and what it does.

Tabby is a self-hosted alternative to cloud copilots: install the server on your own GPUs, connect VS Code or JetBrains, and keep code inside your network. It has about 33,000 GitHub stars and partners with Mistral, DeepSeek and Qwen for models.

Community is free for up to 5 users, Team costs about $19 per user a month and Enterprise adds SSO and audit logs. Self-hosting requires GPU hardware, which is the main hidden cost.

Main problem it solves

Gives security-conscious teams AI completion and chat without code leaving their network.

Typical customer segment

Teams of any size that self-host.

Target users

  • Security-conscious engineering teams
  • Organisations with data-residency rules
  • Developers running open-weight models

Primary use cases

  • Self-hosted code completion
  • Chat and answer engine over internal code
  • MCP agent mode
  • Air-gapped environments

What makes it distinct

  • Fully self-hosted.
  • Open source under Apache 2.0.
  • Free for up to 5 users.
Key features

Tabby features explained.

Assistance

Completion and chat
Inline completion and chat.
Answer engine
Answers grounded in your code and docs.

Agent and admin

MCP agent mode
Agent mode with MCP.
Enterprise
SSO and audit logs.
Pricing

Tabby pricing and plans.

Figures reported consistently by independent sources; vendor page not reviewed directly. Checked 13 Nov 2026 against DEV Community · CostBench · AI Tools Atlas.

Pricing model

Free self-hosted Community edition; per-user Team and Enterprise plans.

Free plan

Yes. Community is free and self-hosted for up to 5 users.

Free trial

Not documented.

Tabby plans and prices (USD)

  • Community

    Free

    n/a

    Self-hosted, up to 5 users.

  • Team

    $19 per user per month

    Monthly

    Reported by trackers.

  • Enterprise

    Custom

    Custom

    SSO/SAML and audit logs.

Prices from 2026 trackers; GPU hardware for self-hosting is an additional cost.

Prices change. Confirm current plans and terms on the vendor's site before you decide.

Visit official website (external) ↗See alternatives
Integrations and compatibility

Tabby integrations, API and platforms.

Important integrations

  • VS Code
  • JetBrains IDEs
  • Vim and Neovim
  • Open-weight models (Mistral, DeepSeek, Qwen)
  • MCP
  • Data connectors

Supported platforms

  • Self-hosted server
  • IDE extensions

API

Self-hosted server with an API.

Data import and export

Not reviewed for this profile.

Integration availability can depend on plan. Confirm with the vendor before you rely on a specific connector.

AI agent details

How Tabby works as an AI product.

Attributes are listed only where documented. We do not infer autonomy levels, certifications or model capabilities.

Classification: AI assistant. Answers questions and suggests content or code; the user performs the actions. Developer: TabbyML.

AttributeDetails
Supported modelsOpen-weight models from partners such as Mistral, DeepSeek and Qwen. [4]
Tools and integrationsCompletion, answer engine, inline chat, data connectors and MCP agent mode. [3]
Ability to execute actionsNot documented in the sources reviewed.
Execution environmentNot documented in the sources reviewed.
Human-in-the-loop controlsNot documented in the sources reviewed.
Permissions and accessNot documented in the sources reviewed.
Memory and contextNot documented in the sources reviewed.
Deployment optionsSelf-hosted on your own infrastructure. [1]
Data handling and privacyNot documented in the sources reviewed.
Security and complianceSSO/SAML and audit logs on Enterprise. [3]
Pricing and usage limitsNot documented in the sources reviewed.
Languages and platformsNot documented in the sources reviewed.
Limitations and known constraintsNot documented in the sources reviewed.

Primary tasks

  • Code completion
  • Chat over internal code
  • Agent tasks via MCP

Best-fit workflows

  • Self-hosted environments
  • Air-gapped teams
  • Open-weight model users
Strengths, limitations and best fit

Tabby pros and cons.

Strengths, limitations and best fit. Each point cites a source; editorial summaries are not customer reviews.

Strengths

  • Fully self-hosted, so code stays in your network. [1]
  • Open source under Apache 2.0. [1]
  • Free for up to 5 users. [2]

Limitations

  • Requires GPU hardware to self-host. [2]
  • Agent capabilities are lighter than dedicated agents. [3]
  • Prices are tracker-reported. [2]

Best for

  • Teams that must self-host
  • Small teams (up to 5) wanting free AI completion
  • Open-weight model users

May be less suited to

  • Teams without GPU infrastructure
  • Developers wanting autonomous agents
How it compares

Tabby compared with similar AI coding agents.

Summaries come from each profile. This is a side-by-side aid, not a ranking.

ProductInterfaceModel choiceFree tierPricing modelHuman oversight
TabbySelf-hosted server with IDE extensionsOpen-weight models you hostYes (up to 5 users)Free self-hosted; per-user TeamNot documented in sources reviewed
Augment CodeVS Code, JetBrains, CLI and SlackFrontier models; credit cost variesNo (trial reported)Credit-based subscriptionsNot documented in sources reviewed
Blackbox AIVS Code agent, IDE, web and CLISeveral model vendorsUnclear after late-2026 changeEnterprise committed spend (earlier $10 to $40)Not documented in sources reviewed
ClineVS Code extension and CLIMany providers, bring your own keyYes (open source)Free software; pay model usagePer-action approval and checkpoints (third-party)
ContinueVS Code and JetBrains extensions, CLI, cloud agentsAny model, including localYes (open source)Free software; PAYG tokens or Team seatsChecks reported as GitHub status checks
GitHub CopilotIDE extensions, CLI, desktop app and GitHub.comSeveral vendors' models, plus third-party agentsYes (Copilot Free)Subscription with monthly AI creditsApprovals, rollback and credit limits documented

Browse all AI Coding Agents →

FAQ

Tabby questions and answers

What is Tabby used for?

Tabby is an open-source (Apache 2.0), self-hosted AI coding assistant from TabbyML, written in Rust. It provides code completion, an answer engine, inline chat, data connectors and an MCP agent mode, running entirely on your own infrastructure with open-weight models.

Is Tabby free?

Yes. Community is free and self-hosted for up to 5 users.

How much does Tabby cost?

Community free (up to 5 users); Team about $19 per user per month; Enterprise custom.

Which models does Tabby support?

Open-weight models from partners such as Mistral, DeepSeek and Qwen.

What are the limitations of Tabby?

Requires GPU hardware to self-host. Agent capabilities are lighter than dedicated agents. Prices are tracker-reported.

Which platforms does Tabby run on?

Tabby is documented as available on: Self-hosted server, IDE extensions.

Is Tabby an AI agent or an AI assistant?

We classify Tabby as: AI assistant. Answers questions and suggests content or code; the user performs the actions. The classification is based on vendor documentation and is not an endorsement.

What are the main alternatives to Tabby?

The main alternatives to Tabby covered on Stack18 are Tabnine, Refact.ai, Continue and GitHub Copilot. See the Tabby alternatives guide for a side-by-side table.

When was the Tabby profile last verified?

Sources for this profile were last reviewed on 13 Nov 2026. 4 sources are listed under Sources, and prices and plans can change, so confirm with the vendor.

Sources and freshness

Where this information comes from.

  1. Tabby Review 2026 DEV Community Third-party Accessed 13 Nov 2026
  2. Tabby pricing CostBench Third-party Accessed 13 Nov 2026
  3. Tabby ML pricing AI Tools Atlas Third-party Accessed 13 Nov 2026
  4. Tabby EveryDev Third-party Accessed 13 Nov 2026

Further official pages: Tabby pricing (external)

Plans, features and status were checked against Tabby's published pages and the third-party sources listed. Agent behaviour was not tested, and security certifications were not independently verified.

Stack18 has not tested this product or received anything from the vendor for this profile. Editorial summaries of vendor information are not endorsements. Confirm details with the vendor before buying.

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