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README.md
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README.md
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> ⚠️ **Jan is currently in Development**: Expect breaking changes and bugs!
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Jan is a self-hosted AI Platform. We help you run AI on your own hardware, giving you full control and protecting your enterprises' data and IP.
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Jan is a self-hosted AI Platform to run AI in the enterprise. Easy-to use for users, and packed with useful organizational and security features.
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We help you run AI on your own hardware, with 1-click installs for the latest models. Jan runs on a wide variety of hardware: from consumer grade Mac Minis, to datacenter-grade Nvidia H100s.
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Jan can also connect to the latest AI engines like ChatGPT, with a security policy engine to protect your organization from sensitive data leaks.
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Jan is free, source-available, and [fair-code](https://faircode.io/) licensed.
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👋 https://cloud.jan.ai
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<p align="center">
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<img src="https://github.com/janhq/jan/assets/69952136/1f9bb48c-2e70-4633-9f68-7881cd925972" alt="Jan Web GIF">
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<img style='border:1px solid #000000' src="https://github.com/janhq/jan/assets/69952136/1f9bb48c-2e70-4633-9f68-7881cd925972" alt="Jan Web GIF">
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</p>
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## Features
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**Multiple AI Engines**
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**Self-Hosted AI**
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- [x] Self-hosted Llama2 and LLMs
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- [x] Self-hosted StableDiffusion and Controlnet
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- [ ] Connect to ChatGPT, Claude via API Key (coming soon)
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- [ ] 1-click installs for Models (coming soon)
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**Cross-Platform**
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**3rd-party AIs**
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- [ ] Connect to ChatGPT, Claude via API Key (coming soon)
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- [ ] Security policy engine for 3rd-party AIs (coming soon)
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- [ ] Pre-flight PII and Sensitive Data checks (coming soon)
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**Multi-Device**
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- [x] Web App
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- [ ] Jan Mobile support for custom Jan server (in progress)
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- [ ] Cloud deployments (coming soon)
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**Organization Tools**
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- [x] Multi-user support
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- [ ] Audit and Usage logs (coming soon)
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- [ ] Compliance and Audit (coming soon)
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- [ ] PII and Sensitive Data policy engine for 3rd-party AIs (coming soon)
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- [ ] Compliance and Audit policy (coming soon)
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**Hardware Support**
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- [ ] Nvidia GPUs
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- [x] Nvidia GPUs
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- [ ] Apple Silicon (in progress)
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- [ ] CPU support via llama.cpp (in progress)
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- [ ] Nvidia GPUs using TensorRT (in progress)
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## Documentation
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