LibreAI / AI Chat / onyx
// ai-chat · onyx-dot-app/onyx

onyx

Open-source AI platform for teams: chat with every LLM, grounded in your company's apps and docs

★ 32.4k stars⑂ 4.5k forksMITupdated 2026-10
▦ visual — this project's README ships no embeddable screenshot,
so here's a placeholder. The guide below is complete regardless.
// project facts

Project facts

onyx is an open-source ai chat project by onyx-dot-app (onyx-dot-app/onyx on GitHub). It has 32,358 GitHub stars and 4,532 forks, is released under the MIT license, and was last updated on GitHub on 8 October 2026.

GitHub stars
32,358
Forks
4,532
License
MIT
Last updated on GitHub
8 October 2026
Category
AI Chat
Listing
Full install guide
Official site
Official site
// how it works

How it works

  1. Clarify your goal

    Decide what you want to achieve with onyx and check the README on GitHub for requirements before installing.

  2. Get the code

    Clone the repository from GitHub (or take the packaged install route in step 3 if the README offers one).

  3. Install and configure

    Follow the project's documented install commands — the Run section below lists the exact ones — and add any required API keys or models.

  4. Run your first task

    Work through the README's quickstart example end to end, then adapt it to your own project or data.

// features

Why people love it

Chat with any LLM

Bring OpenAI, Anthropic, open models and more — the chat UI is model-agnostic.

Connectors and RAG indexing

Background workers sync knowledge from your apps and documents into a vector + keyword index for grounded answers.

Standard and Lite modes

Standard mode is the full platform; Lite mode runs the chat UI in under 1GB of memory for quick trials.

Flexible deployment

Official guides cover Docker, Kubernetes, Helm/Terraform and major cloud providers.

Agents and enterprise search

Beyond chat, Onyx provides agents and deep enterprise search across connected sources.

Community Edition under MIT

The README states Onyx Community Edition is free under the MIT license and covers the core RAG and AI chat features.

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// run it

Run it yourself

  1. Clone the repository

    Get the Onyx source and its deployment files.

    git clone https://github.com/onyx-dot-app/onyx.git
    cd onyx
  2. Deploy with Docker

    Follow the deployment guide to bring up the standard stack with Docker (Kubernetes/Helm options also documented).

    # see https://docs.onyx.app/deployment/overview for the exact Docker commands
  3. Connect a model and a source

    Add your LLM API key in the admin UI, connect a document source, and ask your first grounded question.

    # configure the LLM and connectors in the Onyx admin UI after deployment
// use cases

What you can build

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// faq

Questions, answered

Who maintains onyx?

onyx is maintained by the onyx-dot-app organization/account on GitHub, together with open-source contributors, in the public repository onyx-dot-app/onyx.

Is onyx free to use?

Yes — the code is open source under the MIT license. You can use, modify and redistribute it under that license's terms.

Does onyx need a paid API key?

Onyx itself is free (CE under MIT); you bring your own LLM API key for chat, or run local models — embedding/indexing components run inside your deployment.

How does onyx compare to Glean / ChatGPT Enterprise?

Those are polished paid SaaS products; Onyx is the open-source, self-hosted route — more ops work, but your data and model choice stay under your control.

How do I get started with onyx?

Clone the repository from GitHub, follow the install commands in the Run section (taken from the project's README), and complete the documented quickstart example before adapting it to your own use case.

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// alternatives

Alternatives in AI Chat

The most-starred other AI Chat projects in the LibreAI catalogue — the realistic shortlist if onyx is not the right fit.

Get onyx

Free and open — grab the source, star the repo, and start creating.