Today, we’re beyond excited to share that RSS3 AI Data Network (aka RSS3 Data Sublayer, DSL) is now integrated into Virtuals’ G.A.M.E. Agentic framework! This means Virtuals' AI agents can now tap into real-time, structured, and verifiable data across Web1, Web2, and Web3—feeding AI agents the worlds’ data that they are craving for.

With this integration, AI agents built on Virtuals GAME can seamlessly access live on-chain data (supporting 16 blockchains to-date), social media content, and real-world primary data cross-networks and cross-platforms. No more data drought—just a constant flow of verifiable information that unlocks the true potentials of agents to mass analyze, plan, and make autonomous decisions across gaming, finance, and social ecosystems. Builders interested in crafting AI or DeFAI agents demonstrating the true potentials of RSS3 data are welcome to give it a try at https://github.com/game-by-virtuals/game-node/tree/main/plugins/rss3Plugin

Why Does Real-Time Verifiable Data Matter?

Most AI agents today operate in a vacuum, relying on closed, centralized datasets. But intelligence thrives on access to diverse, real-world information. That’s where RSS3 comes in—providing an open, verifiable data stream that fuels AI with the transparency and decentralization it needs. Think of it as the “Bitcoin of Data,” delivering structured insights in real-time, without centralized gatekeepers. RSS3 AI Data Network has processed ~400M queries to-date.

With a backbone of 92 decentralized RSS3 nodes—including Google Cloud’s own RSS3 node—this integration supercharges AI with the verifiable, structured data it craves, whether for NPC behaviors in games, social sentiment analysis, or autonomous financial decision-making.

What Is the G.A.M.E. Framework?

Virtuals’ Generative Autonomous Multimodal Entities (G.A.M.E.) framework is a next-gen AI agent architecture designed for autonomy. It synthesizes goals, personality traits, and real-time data to help agents think, plan, and act across diverse environments.

Key components of G.A.M.E. include:

• Agent Prompting Interface – Enabling seamless human-AI interaction.
• Perception Subsystem – Turning raw data into meaningful insights.
• Strategic Planning Engine – Powering autonomous decision-making.
• Long-Term Memory Processor – Helping agents learn and evolve over time.

With this lightweight, modular design, developers can integrate AI agents into their projects effortlessly using Virtuals’ SDK and API.

Decentralizing AI—One Dataset at a Time

RSS3 was founded on a bold vision: to decentralize data the way Bitcoin decentralized money. We believe open, structured, and verifiable data is the key to unlocking true intelligence and truly autonomous AI. This integration with Virtuals marks a major step toward that future—where AI agents are not just powerful, but also verifiable, decentralized, and free from centralized black boxes.

The future of AI isn’t just about intelligence—it’s about trustlessness. And with RSS3 fueling Virtuals’ AI agents, we’re one step closer to making that future a reality. 🚀