Ritual

👋 Hey there! Before we dive in, here are some handy links to get you started with Ritual:

• 🌐 ritual.academy — the official website

• 📦 GitHub — explore the source code

• 💬 Discord — need help? Just open a ticket — the team responds fast!

Oh, and feel free to follow me on X (Twitter) for tips, updates and more builder stuff 🛠️

Ritual

Ritual is a decentralized network for open AI infrastructure. It is built on a crowdsourced coordination layer that ensures the security, funding, alignment, and evolution of artificial intelligence models.

Key Components

• Ritual Superchain: A collection of sovereign, modular execution layers optimized for different classes of computation, particularly AI inference.

• Infernet: The first production-ready implementation of the Ritual protocol, acting as the bridge between offchain compute and onchain integration.

• Infernet Node: A lightweight offchain client that performs computational tasks and enables seamless communication between decentralized applications and AI models.

Problems in Current AI Infrastructure

• Centralized and permissioned APIs: Access to powerful AI models is largely controlled by a few major corporations.

• Lack of privacy and compute integrity: User data is often exposed or monetized without transparency.

• Censorship vulnerability: Centralized systems can restrict or censor the use of AI technologies.

Ritual’s Solution

Ritual addresses these challenges by offering:

• Censorship resistance: Open access to powerful AI models beyond the walled gardens of centralized platforms.

• Privacy-first design: Lightweight cryptographic methods that ensure privacy while maintaining performance.

• Full verifiability: Cryptographic guarantees of correct results from real-world models, even for large-scale computations.

Developer Friendly

Ritual enables developers to easily integrate AI inference into decentralized applications with just a few lines of code. The platform is designed to be intuitive, scalable, and fast.