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Jan

Open-source offline AI assistant that runs open models locally — your data never leaves your machine.

Last updated by editors:

Official media from the Jan website
Official media from the Jan website

Our review

Jan is an open-source offline AI assistant that runs open models such as Llama, Qwen and DeepSeek on your own hardware, keeping data on-device and privacy-friendly; it can also plug into cloud APIs as a complement. The interface is clean and cross-platform, and it's the main rival to LM Studio.

No subscription and completely free, but local inference depends on your hardware, so model capability is bounded by your machine — a great fit for privacy-sensitive or offline users.

Pros

Runs offline
Data stays on-device
Open source & free
Cross-platform

Cons

Depends on hardware
Model ceiling set by your machine

Key features

Local inferenceMulti-modelAPI compatibleOffline capable

Best for

Privacy-firstOffline useLocal modelsDevelopers

Who it's not for

需要云端同步与团队协作的用户
没有足够本地算力的设备

Limits to plan for

  • 本地推理依赖硬件
  • 模型能力受本地模型限制
  • 无官方云同步

FAQ

What is Jan?

Open-source offline AI assistant that runs open models locally — your data never leaves your machine.

What are the pros and cons of Jan?

Pros: Runs offline, Data stays on-device, Open source & free, Cross-platform. Cons: Depends on hardware, Model ceiling set by your machine.

How much does Jan cost?

Open source: Free.

Who is Jan for?

Best for Privacy-first, Offline use, Local models, Developers.

What are the alternatives to Jan?

Consider LM Studio, Ollama, Open WebUI.

Visit site ↗GitHub repository ↗

Pricing

Open sourceFree
  • • Local inference
  • • Multi-model
Price not re-checked yet — treat it as unverified
Jan pricing →

Rating

4.5/ 5
Our editorial score