199 lines
6.7 KiB
Plaintext
199 lines
6.7 KiB
Plaintext
---
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title: Jan
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description: Build, run, and own your AI. From laptop to superintelligence.
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keywords:
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[
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Jan,
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open superintelligence,
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AI ecosystem,
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self-hosted AI,
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local AI,
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llama.cpp,
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GGUF models,
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MCP tools,
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Model Context Protocol
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]
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---
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import { Aside } from '@astrojs/starlight/components';
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## Jan's Goal
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> Jan's goal is to build superintelligence that you can self-host and use locally.
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## What is Jan?
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Jan is an open-source AI ecosystem that runs on your hardware. We're building towards open superintelligence - a complete AI platform you actually own.
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### The Ecosystem
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**Models**: We build specialized models for real tasks, not general-purpose assistants:
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- **Jan-Nano (32k/128k)**: 4B parameters designed for deep research with MCP. The 128k version processes entire papers, codebases, or legal documents in one go
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- **Lucy**: 1.7B model that runs agentic web search on your phone. Small enough for CPU, smart enough for complex searches
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- **Jan-v1**: 4B model for agentic reasoning and tool use, achieving 91.1% on SimpleQA
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We also integrate the best open-source models - from OpenAI's gpt-oss to community GGUF models on Hugging Face. The goal: make powerful AI accessible to everyone, not just those with server farms.
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**Applications**: Jan Desktop runs on your computer today. Web, mobile, and server versions coming in late 2025. Everything syncs, everything works together.
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**Tools**: Connect to the real world through [Model Context Protocol (MCP)](https://modelcontextprotocol.io). Design with Canva, analyze data in Jupyter notebooks, control browsers, execute code in E2B sandboxes. Your AI can actually do things, not just talk about them.
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<Aside type="tip">
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API keys are optional. No account needed. Just download and run. Bring your own API keys to connect your favorite cloud models.
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</Aside>
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## Core Features
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### Run Models Locally
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- Download any GGUF model from Hugging Face
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- Use OpenAI's gpt-oss models (120b and 20b)
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- Automatic GPU acceleration (NVIDIA/AMD/Intel/Apple Silicon)
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- OpenAI-compatible API at `localhost:1337`
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### Connect to Cloud (Optional)
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- Your API keys for OpenAI, Anthropic, etc.
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- Jan.ai cloud models (coming late 2025)
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- Self-hosted Jan Server (soon)
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### Extend with MCP Tools
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Growing ecosystem of real-world integrations:
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- **Creative Work**: Generate designs with Canva
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- **Data Analysis**: Execute Python in Jupyter notebooks
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- **Web Automation**: Control browsers with Browserbase and Browser Use
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- **Code Execution**: Run code safely in E2B sandboxes
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- **Search & Research**: Access current information via Exa, Perplexity, and Octagon
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- **More coming**: The MCP ecosystem is expanding rapidly
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## Architecture
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Jan is built on:
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- [Llama.cpp](https://github.com/ggerganov/llama.cpp) for inference
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- [Model Context Protocol](https://modelcontextprotocol.io) for tool integration
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- Local-first data storage in `~/jan`
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## Why Jan?
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| Feature | Other AI Platforms | Jan |
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|:--------|:-------------------|:----|
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| **Deployment** | Their servers only | Your device, your servers, or our cloud |
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| **Models** | One-size-fits-all | Specialized models for specific tasks |
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| **Data** | Stored on their servers | Stays on your hardware |
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| **Cost** | Monthly subscription | Free locally, pay for cloud |
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| **Extensibility** | Limited APIs | Full ecosystem with MCP tools |
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| **Ownership** | You rent access | You own everything |
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## Development Philosophy
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1. **Local First**: Everything works offline. Cloud is optional.
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2. **User Owned**: Your data, your models, your compute.
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3. **Built in Public**: Watch our models train. See our code. Track our progress.
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<Aside>
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We're building AI that respects your choices. Not another wrapper around someone else's API.
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</Aside>
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## System Requirements
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**Minimum**: 8GB RAM, 10GB storage
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**Recommended**: 16GB RAM, GPU (NVIDIA/AMD/Intel), 50GB storage
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**Supported**: Windows 10+, macOS 12+, Linux (Ubuntu 20.04+)
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## What's Next?
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<details>
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<summary><strong>When will mobile/web versions launch?</strong></summary>
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- **Jan Web**: Beta late 2025
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- **Jan Mobile**: Late 2025
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- **Jan Server**: Late 2025
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All versions will sync seamlessly.
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</details>
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<details>
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<summary><strong>What models are available?</strong></summary>
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**Jan Models:**
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- **Jan-Nano (32k/128k)**: Deep research with MCP integration
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- **Lucy**: Mobile-optimized agentic search (1.7B)
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- **Jan-v1**: Agentic reasoning and tool use (4B)
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**Open Source:**
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- OpenAI's gpt-oss models (120b and 20b)
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- Any GGUF model from Hugging Face
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**Cloud (with your API keys):**
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- OpenAI, Anthropic, Mistral, Groq, and more
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**Coming late 2025:**
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- More specialized models for specific tasks
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[Watch live training progress →](https://train.jan.ai)
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</details>
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<details>
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<summary><strong>What are MCP tools?</strong></summary>
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MCP (Model Context Protocol) lets AI interact with real applications. Instead of just generating text, your AI can:
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- Create designs in Canva
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- Analyze data in Jupyter notebooks
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- Browse and interact with websites
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- Execute code in sandboxes
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- Search the web for current information
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All through natural language conversation.
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</details>
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<details>
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<summary><strong>How does Jan make money?</strong></summary>
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- **Local use**: Always free
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- **Cloud features**: Optional paid services (coming late 2025)
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- **Enterprise**: Self-hosted deployment and support
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We don't sell your data. We sell software and services.
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</details>
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<details>
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<summary><strong>Can I contribute?</strong></summary>
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Yes. Everything is open:
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- [GitHub](https://github.com/janhq/jan) - Code contributions
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- [Model Training](https://jan.ai/docs/models) - See how we train
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- [Discord](https://discord.gg/FTk2MvZwJH) - Join discussions
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- [Model Testing](https://eval.jan.ai) - Help evaluate models
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</details>
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<details>
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<summary><strong>Is this just another AI wrapper?</strong></summary>
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No. We're building:
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- Our own models trained for specific tasks
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- Complete local AI infrastructure
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- Tools that extend model capabilities via MCP
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- An ecosystem that works offline
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Other platforms are models behind APIs you rent. Jan is a complete AI platform you own.
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</details>
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<details>
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<summary><strong>What about privacy?</strong></summary>
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**Local mode**: Your data never leaves your device. Period.
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**Cloud mode**: You choose when to use cloud features. Clear separation.
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See our [Privacy Policy](./privacy).
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</details>
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## Get Started
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1. [Install Jan Desktop](./jan/installation) - Your AI workstation
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2. [Download Models](./jan/models) - Choose from gpt-oss, community models, or cloud
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3. [Explore MCP Tools](./mcp) - Connect to real applications
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4. [Build with our API](./api-reference) - OpenAI-compatible at localhost:1337
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---
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**Questions?** Join our [Discord](https://discord.gg/FTk2MvZwJH) or check [GitHub](https://github.com/janhq/jan/). |