# OpenHuman — Private Self-Hosted AI Super Intelligence Platform

> A personal AI system designed for privacy and power. OpenHuman runs locally on your hardware, providing a general-purpose AI assistant that keeps all data on-device with no cloud dependency.

## Install

Save as a script file and run:

# OpenHuman — Private Self-Hosted AI Super Intelligence Platform

## Quick Use
```bash
git clone https://github.com/tinyhumansai/openhuman.git
cd openhuman
cargo build --release
./target/release/openhuman serve
```

## Introduction
OpenHuman is an open-source personal AI platform built in Rust that runs entirely on your own hardware. It aims to provide a capable, general-purpose AI assistant while guaranteeing that no data leaves your device, making it suitable for privacy-conscious users and organizations.

## What OpenHuman Does
- Provides a locally-running AI assistant with chat, code, and reasoning capabilities
- Keeps all conversations, data, and model weights on your hardware
- Supports multiple model backends for flexible hardware utilization
- Offers a web UI and CLI interface for interaction
- Includes plugin and extension points for custom capabilities

## Architecture Overview
OpenHuman is implemented as a Rust binary that bundles a web server, model inference coordinator, and plugin runtime. The core communicates with local model backends through a unified adapter layer. A built-in web frontend provides the chat interface, while a CLI mode enables terminal-based interaction. All state is persisted locally in SQLite.

## Self-Hosting & Configuration
- Build from source with the Rust toolchain or download a pre-built binary
- Point to a local model server or use the built-in inference engine
- Configure via a TOML config file specifying model paths, port, and plugin settings
- Data is stored locally in ~/.openhuman by default
- Supports running behind a reverse proxy for remote access to your own instance

## Key Features
- Complete data privacy with zero external network calls during inference
- Written in Rust for memory safety and performance
- Extensible plugin system for adding custom tools and integrations
- Works with consumer-grade hardware, no data center required
- Multi-modal support for text and document understanding

## Comparison with Similar Tools
- **ChatGPT / Claude** — cloud-hosted, data sent to provider; OpenHuman runs fully local
- **Jan** — local AI desktop app; OpenHuman adds an extensible plugin runtime
- **GPT4All** — desktop-focused local chat; OpenHuman targets broader agentic use cases
- **Open WebUI** — frontend for Ollama; OpenHuman bundles its own inference coordinator

## FAQ
**Q: What hardware do I need?**
A: A modern CPU with 16 GB RAM can run smaller models. A GPU accelerates larger models significantly.

**Q: Which models are supported?**
A: Any GGUF or SafeTensors model compatible with the configured backend, including Llama, Mistral, and Qwen families.

**Q: Is there a mobile app?**
A: Not currently. Access is via the web UI in a browser or the CLI.

**Q: Can multiple users share one instance?**
A: Yes, the web server supports concurrent sessions. Authentication can be configured for multi-user setups.

## Sources
- https://github.com/tinyhumansai/openhuman

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Source: https://tokrepo.com/en/workflows/asset-88851f94
Author: Script Depot