Jan is a free, open-source desktop app for chatting with AI models on your own computer, working fully offline once models are downloaded. People who want ChatGPT-style answers without sending their words to the cloud install it, pull open models from its built-in hub, and chat without an account.[1][2]
Quick verdict
People who want ChatGPT-style answers without sending their words to the cloud will benefit most from Jan. Its core capability is running open models such as Llama, Qwen, and Mistral directly on personal hardware through a familiar chat interface. Anyone who needs the strongest frontier models, zero hardware setup, or team administration should choose something else. If privacy and offline control matter more than maximum model strength, try Jan; if raw capability matters more, use a hosted frontier chatbot instead.[1][2]
Key features
Fully offline chat Fully offline chat: downloaded models answer with no network connection, so conversations never leave the device.[1][2]
Built-in model hub Built-in model hub: one-click downloads of open models including Llama, Qwen, Mistral, Gemma, Phi, and DeepSeek, matched to local hardware.[1][2]
Conversation threads Conversation threads: organized chat threads keep topics separate instead of one endless scroll.[1]
File attachments File attachments: attach documents to a conversation to ask questions about their contents.[1]
Multi-model comparison Multi-model comparison: run the same prompt across several models side by side to judge answers directly.[1]
Local API server Local API server: an OpenAI-compatible endpoint on the machine lets developers point existing tools at local models.[1]
Remote-engine connections Remote-engine connections: optionally connect cloud models or a self-run Ollama instance with your own API keys.[1][2]
Assistants and MCP tools Assistants and MCP tools: configurable assistants can reach outside tools through Model Context Protocol integrations.[1]
Who will love it
Privacy-minded individuals who want AI help with personal writing or documents and refuse to upload them to a cloud service.[1]
Laptop experimenters trying open models for the first time, since the hub removes setup friction around downloads and runtimes.[1][2]
Developers prototyping locally who can aim OpenAI-shaped requests at the on-machine endpoint instead of paying for cloud calls.[1]
Who should avoid it
Teams needing shared administration, because Jan is a personal desktop app with per-machine models and no documented organization features.[1][2]
Anyone wanting frontier-model quality, since locally runnable open models trail hosted flagships on hard reasoning tasks.[1][2]
People on weak hardware or tight disks, because capable models need gigabytes of downloads plus enough RAM or VRAM to respond at a usable speed.[1]
Alternatives and compatibility
LM Studio is the closest desktop rival LM Studio is the closest desktop rival: both are download-and-chat apps for local models, proposed here as a catalogue competitor in review, not a vendor endorsement.[1][2]
Ollama is the runtime alternative Ollama is the runtime alternative: a command-line local-model backend that Jan can also connect to, proposed here as a catalogue competitor in review.[1][2]
Hosted chatbots trade privacy for power Hosted chatbots trade privacy for power: users who value maximum answer quality over offline control should compare a flagship cloud chatbot before committing to local models.[1]
Questions worth asking
What is the best Jan alternative for non-technical users?
Is Jan really no-code?
How much does Jan cost per month?
Nothing for the app itself: Jan is free and open source with no paid edition, and optional cloud model calls bill through your own third-party API keys. Checked October 2026.[1]
Sources and editorial review
Source research. Reviewed on October 11, 2026. Written by Sanjib Sah. AI assisted; reviewed by a human editor.
We have not run or tested this product.
- Jan homepage (official)
official · Observed October 11, 2026
Official homepage: offline positioning, model hub, assistants, MCP tools, remote engines, platform downloads, free pricing, Oumi next chapter.
- janhq/jan repository (official)
official · Observed October 11, 2026
Repository README: offline tagline, threads, attachments, multi-model chat, model hub families, local API server, extensions API, engines, releases, installer assets.
- janhq/jan LICENSE (official)
official · Observed October 11, 2026
LICENSE file: Apache License 2.0 text, copyright 2025 Menlo Research; resolves older third-party AGPL descriptions.