Jan AI

Jan is an open-source AI assistant built around a specific positioning: "Personal Intelligence that answers only to you." The core idea is giving users full control over where their AI processing actually happens — either entirely locally on their own device, with no data leaving the machine, or by connecting to preferred cloud providers when local models aren't powerful enough for a given task. Model flexibility is Jan's central feature. Rather than shipping with one built-in model, it lets users choose from a wide range of open-source local models or integrate cloud services directly, including OpenAI's ChatGPT, Anthropic's Claude, Google's Gemini, Meta's Llama, Mistral AI, Alibaba's Qwen, DeepSeek, Google's Gemma, and Moonshot AI's Kimi — giving users one interface that can switch between fully private local inference and best-in-class cloud models depending on the task. A memory capability, allowing context to persist across separate conversations so the assistant remembers user preferences without needing to be told again, is in active development as an upcoming feature. Who it's for: privacy-conscious individuals who want an alternative to closed, cloud-only assistants like ChatGPT, developers who want to experiment with different open-source and commercial models from a single interface, and anyone who wants the flexibility to run AI fully offline when needed while still having cloud model access available. Strengths: completely free and open-source with full code transparency (anyone can inspect exactly how the software handles their data on GitHub), genuinely broad model support spanning both local and major cloud providers rather than locking users into one ecosystem, and real, substantial adoption — the project has passed 4 million downloads, with more than 43,700 GitHub stars and an active community of over 15,000 members, suggesting it's a maintained, trusted project rather than an abandoned experiment. Limitations: as with any tool supporting local model inference, the quality and speed of fully offline responses depend entirely on the user's own hardware, and users wanting frontier-model-quality output will still need to connect a cloud provider (and pay that provider's own API costs) rather than relying on local models alone. The promised cross-conversation memory feature was not yet available at time of review, so users expecting persistent context today will need to wait for that rollout. Real-world use cases: a privacy-focused user running a capable open-source model fully offline for sensitive work, a developer switching between Claude and a local Llama model inside one interface to compare outputs, and someone without reliable internet access still getting useful AI assistance from a locally downloaded model. For anyone who wants control over exactly where their AI processing happens, Jan is one of the most actively maintained open options available.