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🧠 OpenOS: A Collaborative AI Network

OpenOS is a new kind of AI platform β€” open, decentralized, and built for everyone.

Instead of building big, closed AI systems, OpenOS connects smaller, independent clusters into a global network. AI instances can be deployed on these clusters as Blocks. These parts can work together to run tasks, share data, and build complex intelligence.

Think of it like the internet β€” but for AI.


🌐 Why OpenOS?

  • Built as public digital infrastructure β€” no single company owns it.
  • Works like a commons β€” shared, contributed to, and improved by a global community.
  • Designed to be modular β€” you can plug in your own tools, AI models, and systems.

🚧 Current Status

⚠️ Beta Alert
This project is still under active development and not ready for production use.
We’re testing a lot β€” and welcome your feedback!

Testnet is expected in First week of May 2025.

Click here to know more about the upcoming activities


  1. 🌐 Website
  2. πŸ“š Complete documentation
  3. πŸ“ Paper vision and future work

✨ What Can You Do with OpenOS?

  • Connect Kubernetes clusters into a global compute network
  • Deploy your AI models (like LLMs or vision models) as reusable Blocks
  • Define workflows using vDAGs (visual Directed Acyclic Graphs)
  • Share and re-use models, data, and infrastructure
  • Use Python policies to control how the network behaves
  • Deploy multiple tasks on the same GPU to save resources
  • Extend your Blocks with third-party tools via init containers
  • Collect and use metrics to make smart decisions
+---------------------------+
|    Your AI Models / APIs |
+---------------------------+
            |
        [Wrap as Block]
            ↓
+---------------------------+
|     OpenOS Runtime        |
| +-----------------------+ |
| |  Policy Engine        | | <- Python rules
| |  Scheduler            | | <- Chooses where to run
| |  Metrics Collector    | | <- System stats
| +-----------------------+ |
+---------------------------+
            ↓
     +-------------------+
     |  Clusters powered |
     |  by Kubernetes    |
     +-------------------+


🧰 Key Features

Feature What It Means
🌍 Global Clustering Connect clusters into a unified network
βš™οΈ Smart Scheduling Run AI tasks where resources are available
πŸ› οΈ Python Policies Use Python scripts to control the system
🧱 Modular Blocks Reusable building blocks for AI
🧠 Split LLMs Run parts of a model across machines
πŸ§ͺ GPU Sharing Run multiple jobs on the same GPU
πŸ“¦ Plug in Tools Bring your own frameworks, models, or services
πŸ“‘ Send Work Easily Submit tasks through gRPC APIs
πŸ” Observe Everything Track system performance with metrics

πŸš€ Quickstart

Follow the Quickstart Guide to:


πŸ“š Learn More

Section Link
πŸ“„ Concept Overview Concepts
🧭 How It Works Architecture
πŸ› οΈ Setup Instructions Installation Guide
πŸ§ͺ Tutorials Quickstart
πŸ—‚οΈ User Guides User Flows

🎯 Our Goals

At OpenOS, we’re building more than just a platform β€” we’re designing the foundation for a plural, sovereign AI future. Our mission is to create AI infrastructure that is:

  • Open β€” accessible, inspectable, and modifiable by anyone
  • Decentralized β€” not controlled by any single company, cloud, or country
  • Composable β€” built from reusable, modular components called Blocks
  • Governable β€” enforceable policies built in as first-class citizens
  • Interoperable β€” works with your own models, data, and systems
  • Collaborative β€” made by and for a global community of contributors

We want to make it easy to:

  • Run large AI models (like LLMs and Vision AI) across many machines
  • Share compute, storage, and models across organizations
  • Define custom behaviors through simple Python policies
  • Enable new forms of AI collaboration β€” cross-team, cross-cloud, and cross-border
  • Build networks that anyone can join, contribute to, and benefit from

Upcoming activities:

  • πŸ“Š OpenOS vs Ray/Anyscale comparison coming soon
  • πŸ§ͺ Benchmark results (LLMs, Vision models, and more) coming soon
  • πŸ” Security upgrades (RBAC, decentralized ID) coming soon
  • πŸ’Ύ Secure model and asset handling coming soon

🀝 Join Us!

OpenOS is community-driven β€” anyone can contribute.

We’re looking for:

  • Developers and engineers
  • Designers and communicators
  • Policy, governance, and ethics researchers
  • Builders of all kinds

Get Involved


Together, let’s build the future of open, shared, and sovereign AI.