Jan.ai
Jan is an open source alternative to ChatGPT that runs 100% offline on your computer.
Cost / License
- Free
- Open Source
Application types
Platforms
- Mac
- Windows
- Linux
- Flathub
- Flatpak
- Online
Features
Properties
- Privacy focused
- Customizable
- Lightweight
- Distraction-free
Features
- Works Offline
- AI Chatbot
- Ad-free
- Local Storage
- Offline
- No Tracking
- Dark Mode
- No Coding Required
- No registration required
Tags
- electron
- AI Assistant
- llama2
- llamacpp
- GPT
- localai
Jan.ai News & Activities
Recent News
- Fla published news article about Jan.ai
Jan v3 model debuts, with updates to Jan Desktop v0.7.6Jan v0.7.6 highlights the new Jan V3 model, now featured in onboarding as the recommended default f...
- Fla published news article about Jan.ai
Jan 0.6.8 update: enhanced model stability, faster CPUs, and new configuration optionsJan 0.6.8 delivers improved model loading stability and clearer error handling for llama.cpp, makin...
- Fla published news article about Jan.ai
Jan v0.6.0 introduces custom assistants and redesigned interfaceJan v0.6.0 now lets users create assistants with custom instructions and settings. The platform als...
Recent activities
OrdinaryPerson added Jan.ai as alternative to GitHub Copilot Taskbar GUI- lynh liked Jan.ai
javiferal12386 added Jan.ai as alternative to ProPrompt Master- hazrpg liked Jan.ai
POX added Jan.ai as alternative to QVAC Workbench- kamoltuk2001 liked Jan.ai
bugmenot added Jan.ai as alternative to AI00 RWKV Server
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What is Jan.ai?
Jan is an open-source ChatGPT alternative that runs 100% offline on your computer.
Jan runs on any hardware. From PCs to multi-GPU clusters, Jan supports universal architectures:
- NVIDIA GPUs (fast)
- Apple M-series (fast)
- Apple Intel
- Linux Debian
- Windows x64











Comments and Reviews
Open Source, Local LLM
Download for Windows is 390 MB. Won't install due to difficulty in writing to bun.exe. I probably need to redo my java program.
It runs fast thanks to good hardware support, and the GUI is well-designed. There is an experimental RAG feature, but it's not functioning properly at the moment. It also offers some settings that allow you to adjust the model parameters.
Pros: Clean design.
Cons: Heavy weight. Response regeneration sometimes causes errors. Impossible to switch between answers.