LibreAI / AI Chat / Vane
// ai-chat · ItzCrazyKns/Vane

Vane

A self-hosted AI answering engine — Perplexity-style search with citations, on your own server

★ 37.1k stars⑂ 4.1k forksMITupdated 2026-09
▦ visual — this project's README ships no embeddable screenshot,
so here's a placeholder. The guide below is complete regardless.
// project facts

Project facts

Vane is an open-source ai chat project by ItzCrazyKns (ItzCrazyKns/Vane on GitHub). It has 37,143 GitHub stars and 4,124 forks, is released under the MIT license, and was last updated on GitHub on 1 September 2026.

GitHub stars
37,143
Forks
4,124
License
MIT
Last updated on GitHub
1 September 2026
Category
AI Chat
Listing
Full install guide
// how it works

How it works

  1. Clarify your goal

    Decide what you want to achieve with Vane 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

AI answers with sources

Questions are answered from live web results with citations, not just model memory.

SearXNG-powered search

Uses the privacy-respecting SearXNG metasearch engine under the hood.

Focus modes and discovery

Search modes for different sources plus a discovery feed, mirroring the hosted AI-search experience.

Use as your search engine

Can be set as your browser's default search engine, and exposes an API for programmatic queries.

Local or cloud models

Works with local LLMs through Ollama or hosted providers — your choice per deployment.

One-command Docker run

Ships an official Docker image (itzcrazykns1337/vane) including a slim variant with an external SearXNG URL.

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// run it

Run it yourself

  1. Clone the repository

    Get the Vane source if you prefer building/configuring from source.

    git clone https://github.com/ItzCrazyKns/Vane.git
    cd Vane
  2. Run with Docker (recommended)

    Start Vane with the published image; it serves on port 3000 with a persistent data volume.

    docker run -d -p 3000:3000 -v vane-data:/home/vane/data --name vane itzcrazykns1337/vane:latest
  3. Configure your model

    Open http://localhost:3000, choose your LLM provider (e.g. Ollama or a cloud API) in settings, then ask your first question.

    # configure the provider in the web UI at http://localhost:3000
// use cases

What you can build

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// faq

Questions, answered

Who maintains Vane?

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

Is Vane 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 Vane need a paid API key?

Vane itself is free; you can run it fully locally with Ollama at no cost, or plug in a paid cloud LLM API key if you prefer hosted models.

How does Vane compare to Perplexity?

Perplexity is a polished hosted product; Vane gives you a similar answering-engine experience self-hosted and free, but you run and maintain the server yourself.

How do I get started with Vane?

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 Vane is not the right fit.

Get Vane

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