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Home/Categories/AI & Machine Learning/Jan
icon of Jan

Jan

Open source alternative to ChatGPT, GitHub Copilot and Google Gemini for Workspace

  • 45K stars
  • Apache-2.0
  • Active this week
  • Last commit 1 day ago

Last verified Oct 20, 2026

Jan is an open source local AI chat app that runs LLMs entirely on your hardware: no internet connection, no cloud API, no data sent off-device. AGPL-3.0.

Visit websiteGitHub45K starsDeploy on Hostinger
image of Jan
TL;DR

Jan is a local AI desktop app for people who want a ChatGPT-style interface that can run models on their own computer. It supports local models, cloud provider connections, custom assistants, MCP, and an OpenAI-compatible local API.

Read the full breakdownHide the full breakdownWho it is for, how it works, trade-offs and the FAQ
who it's for

Who Jan is for#

Privacy-minded users running local chat

Use Jan for private brainstorming, document work, and local model experiments on a personal machine.

Skip if:

You need the strongest hosted model with no local setup.

Developers testing local AI apps

Use the localhost OpenAI-compatible API to test apps against local models before using paid cloud APIs.

Skip if:

Your workflow requires managed team accounts and centralized admin controls.

the problem

The problem it solves#

Hosted AI chat is convenient, but sensitive prompts, documents, and experiments often should not leave the machine or depend on one provider account. Developers and privacy-minded users need a desktop AI workspace that can switch between local and cloud models.

how Jan solves it

How it solves it#

Local model chat

Jan downloads and runs models such as Llama, Gemma, Qwen, and GPT-OSS from Hugging Face on the user’s machine.

OpenAI-compatible local API

Jan exposes a local server at localhost:1337, letting other applications connect to local models through familiar API patterns.

Cloud and MCP support

The README lists OpenAI, Anthropic, Mistral, Groq, MiniMax, and MCP integration for workflows that need more than local chat.

strengths · trade-offs

Strengths and trade-offs#

Strengths

  • Private local AI workflowJan gives users a way to keep prompts and files local when the selected model runs on the machine.
  • Good bridge between local and cloud modelsUsers can start with local models and connect cloud providers when they need stronger hosted models.

Trade-offs

  • -Local model quality depends on hardwareA laptop may run small models well but struggle with larger models that hosted ChatGPT handles easily.
  • -License needs review before applyGitHub metadata does not expose a clean SPDX value in this environment, so ContentOps should verify the current license before publication.
versus alternatives

Jan vs alternatives#

Jan vs ChatGPT

Jan is better when users want local model execution, offline privacy, and an OpenAI-compatible local API on their own computer. ChatGPT is better for hosted model quality, broad multimodal features, and zero local setup. Jan fits privacy-sensitive users and developers experimenting with local LLM workflows.

tech stack · detected from GitHub

What it's built on#

Languages
JavaScriptPythonRustSwiftTypeScript
Frameworks
Next.jsReact
frequently asked

FAQ#

Can Jan replace ChatGPT?

Jan can replace ChatGPT for local or offline chat workflows. ChatGPT remains stronger for hosted model quality, account features, and broad multimodal polish.

Does Jan run models locally?

Yes. The README says Jan can download and run local LLMs and also connect to cloud providers.

Does Jan expose an API?

Yes. Jan provides an OpenAI-compatible local server at localhost:1337.

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by category

Open source tools in these categories#

404

AI & Machine Learning

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101

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191

Business & Productivity

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Hostinger

Run Jan on your own server

Self-host Jan on a Hostinger VPS.

Deploy on Hostinger

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