Jan

Jan

Jan is bringing the best of open-source AI in an easy-to-use product. Download and run LLMs with full control and privacy. It supports local AI models (Llama, Gemma, Qwen) from HuggingFace, cloud integrations (OpenAI, Anthropic, Mistral), custom assistants, an OpenAI-compatible local API server, and Model Context Protocol (MCP) integration for agentic capabilities.

Is Jan free to self-host?

Yes — it is open source and runs on your own hardware.

Does Jan need a lot of resources?

A server with 1–2GB RAM is enough for most workloads.

How do I deploy Jan?

Easiest via Docker — see the installation guide for commands.

Where does my data go?

Nowhere — everything is processed locally on your server.

Jan

Jan is bringing the best of open-source AI in an easy-to-use product. Download and run LLMs with full control and privacy. It supports local AI models (Llama, Gemma, Qwen) from HuggingFace, cloud integrations (OpenAI, Anthropic, Mistral), custom assistants, an OpenAI-compatible local API server, and Model Context Protocol (MCP) integration for agentic capabilities.

Alternatives to Jan

If Jan isn't quite right, these are common self-hosted alternatives in the same category:

Jan

Jan is bringing the best of open-source AI in an easy-to-use product. Download and run LLMs with full control and privacy. It supports local AI models (Llama, Gemma, Qwen) from HuggingFace, cloud integrations (OpenAI, Anthropic, Mistral), custom assistants, an OpenAI-compatible local API server, and Model Context Protocol (MCP) integration for agentic capabilities.

Strengths

• Full self-hosted control over your data
• Straightforward Docker-based deployment
• Open-source license

Weaknesses

• Initial setup requires Docker familiarity
• You are responsible for maintenance and updates
• Resource needs can grow under heavy load

Verdict

Jan is a solid self-hosted choice — its strengths outweigh the usual maintenance overhead.

Jan

Jan is bringing the best of open-source AI in an easy-to-use product. Download and run LLMs with full control and privacy. It supports local AI models (Llama, Gemma, Qwen) from HuggingFace, cloud integrations (OpenAI, Anthropic, Mistral), custom assistants, an OpenAI-compatible local API server, and Model Context Protocol (MCP) integration for agentic capabilities.

Prerequisites

• Docker installed (version 24.0+)
• Docker Compose (version 2.20+)
• At least 1GB RAM (2GB recommended)

Quick start with Docker

# Pull the image
docker pull owner/image:latest

# Run the container
docker run -d --name jan -p 8080:8080 owner/image:latest

Key features

• Self-hosted and open source
• Docker-based deployment
• License: Apache-2.0
• Repository: https://github.com/janhq/jan

Jan

Jan is bringing the best of open-source AI in an easy-to-use product. Download and run LLMs with full control and privacy. It supports local AI models (Llama, Gemma, Qwen) from HuggingFace, cloud integrations (OpenAI, Anthropic, Mistral), custom assistants, an OpenAI-compatible local API server, and Model Context Protocol (MCP) integration for agentic capabilities.

Key features

• Self-hosted and open source
• Docker-based deployment
• License: Apache-2.0
• Repository: https://github.com/janhq/jan

What it's good for

Jan runs entirely on your own infrastructure — your data never leaves your server.