Vane social preview
rag35,210MIT

Vane

Vane is an AI-powered answering engine.

Updated Jun 8, 2026
Platforms
docker, web
Pricing
free-open-source
Status
active
License
MIT

What it does

Core capabilities at a glance

  • AI Agents
  • AI Search Engine
  • Answering Engine
  • Artificial Intelligence
  • Open Source AI Search Engine
  • Perplexica
  • RAG
  • Search Engine

Deep dive

The full breakdown - performance, comparisons, and setup

Vane

Vane is a RAG toolkit - Vane is an AI-powered answering engine.

Overview

Vane is a privacy-focused AI answering engine that runs entirely on your own hardware. It combines knowledge from the vast internet with support for local LLMs (Ollama) and cloud providers (OpenAI, Claude, Groq), delivering accurate answers with cited sources while keeping your searches completely private.

Want to know more about its architecture and how it works? You can read it here.

🤖 Support for all major AI providers - Use local LLMs through Ollama or connect to OpenAI, Anthropic Claude, Google Gemini, Groq, and more. Mix and match models based on your needs.

Smart search modes - Choose Speed Mode when you need quick answers, Balanced Mode for everyday searches, or Quality Mode for deep research.

🧭 Pick your sources - Search the web, discussions, or academic papers. More sources and integrations are in progress.

🧩 Widgets - Helpful UI cards that show up when relevant, like weather, calculations, stock prices, and other quick lookups.

🔍 Web search powered by SearxNG - Access multiple search engines while keeping your identity private. Support for Tavily and Exa coming soon for even better results.

📷 Image and video search - Find visual content alongside text results. Search isn't limited to just articles anymore.

Vane is open-source, written primarily in TypeScript, with 35,210 GitHub stars under the MIT license. The latest release is v1.12.2 (2026-04-10).

Key capabilities

From the project's documentation:

  • JSON format enabled in the settings
  • Wolfram Alpha search engine enabled
  • Ensure that the port (default is 11434) is not blocked by your firewall.
  • Make sure your Lemonade server is running and accessible on the configured port (default is 8000).
  • Ensure that the port (default is 8000) is not blocked by your firewall.
  • Adding more widgets, integrations, search sources

Install

A quick way to get started (always check the official docs for the latest):

docker run -d -p 3000:3000 -v vane-data:/home/vane/data --name vane itzcrazykns1337/vane:latest

How it fits a local-AI stack

Vane runs on your own hardware, so pair it with a model and a GPU sized to your needs. Use the VRAM calculator to pick a model that fits your card, and see what you can run for hardware guidance. Related RAG toolkits in the directory:

Sources

Stats from GitHub, 2026-06-08.

Frequently asked

Quick answers to common questions

What is Vane?

Vane is a rag tool for local AI workloads. Vane is an AI-powered answering engine.

Is Vane free and open source?

Yes, Vane has 35,210 GitHub stars and is licensed under MIT. You can self-host it for free on docker, web.

What platforms does Vane support?

Vane runs on docker, web.

What hardware do I need for Vane?

The hardware requirements depend on which models you run. Check our hardware directory for compatible GPUs and systems. Vane has 35,210 GitHub stars and an active community.

Does Vane support GPU acceleration?

Vane's GPU support depends on your specific setup. Check the documentation for details. For the best performance, pair it with an NVIDIA RTX 4090 or 5090.

What are the best alternatives to Vane?

Popular alternatives include other rag tools in our directory. Browse our full collection at /tool for comparisons, community reviews, and benchmark data to find the right fit for your workflow.

How much does Vane cost?

Vane is free-open-source. It is completely free and open source to self-host.

Pairs well with

Complementary tools, models, and hardware

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