GraphCanon updated 5d · GitHub synced 5d
Decision brief
Vane is a TypeScript-based, open-source AI-powered answering engine designed for robust data retrieval and processing. It stands out with its unique features in the category.
Good fit when
- When you need a self-hosted AI search capability built on TypeScript - Vane provides a solid foundation without relying on cloud services, giving you more control over your data.
- If you aim to integrate an answering engine that supports Retrieval-Augmented Generation (RAG), Vane can provide a seamless integration experience due to its well-defined architecture in this area.
Avoid when
- For users requiring real-time updates from vast, dynamic datasets frequently changing at the sub-minute level, as Vane might not be optimized for extremely high-frequency updating needs.
- If you are looking for an extensive pre-built knowledge base or a service that continuously trains models with new internet data, Vane is more of a framework to build upon rather than a fully curated,
Observed Jul 11, 2026 · Source: enrich:decision_facts
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Adoption
Package downloads where a registry match exists. GitHub stars (36,187) are secondary evidence.
- npm downloads (30d)
- 395·npm downloads API·5d
Maintenance and security
Full trust report- Maintenance
- Slowing (126d since push)
- As of 5d
- Provenance
- Not a fork · Personal account
- As of 5d
- Security (OSV)
- No lockfile
- As of 1mo
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Install
npm install Vane npmHow it fits your stack(10)
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Evidence and technical details
Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.
Overview
An open-source AI-powered answering engine developed in TypeScript.
Capability facts
- Deploy
- Self-host
Source: dockerfile:Dockerfile · Aug 16, 2026
- Docker
- Dockerfile present
Source: dockerfile:Dockerfile · Aug 16, 2026
- CLI
- CLI entrypoint
Source: package.json:bin|scripts · Aug 16, 2026
- MCP server
- No MCP server detected
Source: repo_scan · Aug 16, 2026
- Languages
- typescript, javascript
Source: github.language+package.json · Aug 16, 2026
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README
Installation
There are mainly 2 ways of installing Vane - With Docker, Without Docker. Using Docker is highly recommended.
Getting Started with Docker (Recommended)
Vane can be easily run using Docker. Simply run the following command:
docker run -d -p 3000:3000 -v vane-data:/home/vane/data --name vane itzcrazykns1337/vane:latest
This will pull and start the Vane container with the bundled SearxNG search engine. Once running, open your browser and navigate to http://localhost:3000. You can then configure your settings (API keys, models, etc.) directly in the setup screen.
Note: The image includes both Vane and SearxNG, so no additional setup is required. The -v flags create persistent volumes for your data and uploaded files.
Using Vane with Your Own SearxNG Instance
If you already have SearxNG running, you can use the slim version of Vane:
docker run -d -p 3000:3000 -e SEARXNG_API_URL=http://your-searxng-url:8080 -v vane-data:/home/vane/data --name vane itzcrazykns1337/vane:slim-latest
Important: Make sure your SearxNG instance has:
- JSON format enabled in the settings
- Wolfram Alpha search engine enabled
Replace http://your-searxng-url:8080 with your actual SearxNG URL. Then configure your AI provider settings in the setup screen at http://localhost:3000.
Advanced Setup (Building from Source)
If you prefer to build from source or need more control:
-
Ensure Docker is installed and running on your system.
-
Clone the Vane repository:
git clone https://github.com/ItzCrazyKns/Vane.git -
After cloning, navigate to the directory containing the project files.
-
Build and run using Docker:
docker build -t vane . docker run -d -p 3000:3000 -v vane-data:/home/vane/data --name vane vane -
Access Vane at http://localhost:3000 and configure your settings in the setup screen.
Note: After the containers are built, you can start Vane directly from Docker without having to open a terminal.
Non-Docker Installation
-
Install SearXNG and allow
JSONformat in the SearXNG settings. Make sure Wolfram Alpha search engine is also enabled. -
Clone the repository:
git clone https://github.com/ItzCrazyKns/Vane.git cd Vane -
Install dependencies:
npm i -
Build the application:
npm run build -
Start the application:
npm run start -
Open your browser and navigate to http://localhost:3000 to complete the setup and configure your settings (API keys, models, SearxNG URL, etc.) in the setup screen.
Note: Using Docker is recommended as it simplifies the setup process, especially for managing environment variables and dependencies.
See the installation documentation for more information like updating, etc.
For agents
This page has a .md twin and JSON over the API.