Jan.ai
Open-source offline AI platform supports local LLMs including Llama, Gemma, Qwen, GPT-oss, integrates cloud services like OpenAI and Anthropic, enables custom assistant creation, offers OpenAI-compatible API on localhost, operates across diverse hardware and ensures privacy.
Cost / License
- Free
- Open Source
Application typeApplication types
Platforms
- Mac
- Windows
- Linux
- Online
- Flathub
- Flatpak
Features
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
Anthony-Izzo added Jan.ai as alternative to Polycode: Multi-Model AI- albinr liked Jan.ai
- prettycurious1 liked Jan.ai
ivxenog added Jan.ai as alternative to ivx/ai Chat- POX added Jan.ai as alternative to Otis AI Agent
tyagihas added Jan.ai as alternative to Greenative Studio- catmuf liked Jan.ai
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Comments and Reviews
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.
After LMStudio became Bionic I discovered JAN.AI.
Jan.ai is a fantastic option for anyone who values privacy and local AI. I love how easy it is to run different models and switch between local and cloud providers.
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.
Pros: Clean design.
Cons: Heavy weight. Response regeneration sometimes causes errors. Impossible to switch between answers.
Open Source, Local LLM