π§ 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.
π 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.
π§ Current Status
β οΈ Beta Alert
This project is still under active development and not ready for production use.
Weβre 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
π Links:
- π Website
- π Complete documentation
- π Paper vision and future work
β¨ 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]
β
+---------------------------+
| OpenOS Runtime |
| +-----------------------+ |
| | Policy Engine | | <- Python rules
| | Scheduler | | <- Chooses where to run
| | Metrics Collector | | <- System stats
| +-----------------------+ |
+---------------------------+
β
+-------------------+
| Clusters powered |
| by Kubernetes |
+-------------------+
π§° Key Features
| Feature | What It Means |
|---|---|
| π Global Clustering | Connect clusters into a unified network |
| βοΈ Smart Scheduling | Run AI tasks where resources are available |
| π οΈ Python Policies | Use Python scripts to control the system |
| π§± Modular Blocks | Reusable building blocks for AI |
| π§ Split LLMs | Run parts of a model across machines |
| π§ͺ GPU Sharing | Run multiple jobs on the same GPU |
| π¦ Plug in Tools | Bring your own frameworks, models, or services |
| π‘ Send Work Easily | Submit tasks through gRPC APIs |
| π Observe Everything | Track system performance with metrics |
π Quickstart
Follow the Quickstart Guide to:
- Create your own network
- Add clusters and nodes
- Deploy AI models
- Connect external systems
- Split and run large models across multiple GPUs
π Learn More
| Section | Link |
|---|---|
| π Concept Overview | Concepts |
| π§ How It Works | Architecture |
| π οΈ Setup Instructions | Installation Guide |
| π§ͺ Tutorials | Quickstart |
| ποΈ User Guides | User Flows |
π― Our Goals
At OpenOS, weβre building more than just a platform β weβre 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:
- π OpenOS vs Ray/Anyscale comparison coming soon
- π§ͺ Benchmark results (LLMs, Vision models, and more) coming soon
- π Security upgrades (RBAC, decentralized ID) coming soon
- πΎ Secure model and asset handling coming soon
π€ Join Us!
OpenOS is community-driven β anyone can contribute.
Weβre looking for:
- Developers and engineers
- Designers and communicators
- Policy, governance, and ethics researchers
- Builders of all kinds
Get Involved
- π¬ Join our Discord
- π§ Email us: community@opencyberspace.org
Together, letβs build the future of open, shared, and sovereign AI.