Allora Powers Virtuals Protocol for Next-Gen AI Agents

The era of AI agents has arrived, driving innovation in DeFi and autonomous decision-making, and redefining how consumers engage with markets.

Today, we’re thrilled to announce the integration of Allora into Virtuals’ G.A.M.E agentic framework, powering it with predictive financial modeling and advanced intelligence, unlocking a vast array of applications, redefining what AI agents can achieve.

The Era of Smarter, Adaptive AI Agents Has Begun

The world demands intelligent systems capable of proactive, autonomous decision-making. 

The Allora Network acts as an additional intelligence layer for AI agents, enabling these agents to perform more complex onchain activities while also evolving with the markets they operate in. By way of  its decentralized, self-improving collective intelligence network, the Allora Network ensures that agents are equipped with the most accurate and actionable financial forecasts necessary for proactive decision making.

This collaboration brings developers a streamlined way to build AI agents that are not only smarter, but also capable of continuous improvement and advanced decision-making. By integrating Allora’s network of collective intelligence into Virtuals’ G.A.M.E framework, we’re unlocking new possibilities for developers to create adaptive and high-performing AI systems that are not possible with an LLM alone. 

Self-Improving and Resilient Agents

Developers crafting AI agents via the G.A.M.E framework will be able to utilize intelligence from the Allora Network to unlock a wide range of new onchain use cases, such as:

1. Automated Looping Strategy Agents: Agents can utilize  Allora’s price and upcoming volatility forecasts to autonomously adjust leverage of leveraged looping strategies by increasing exposure during favorable conditions and reducing it during downturns. This approach minimizes liquidation risks, automates profit-taking, and creates safer and more efficient looping strategies.
2. Trading Strategy Agents: With precise price and volatility forecasts, developers can have their agents execute bespoke trading strategies, whether directional or delta-neutral. These strategies incorporate advanced risk management techniques, allowing users to explore more refined trading methods.
3. Meta-Strategy and Intelligent Dynamic Strategy Agents: Allora’s intelligence network will soon be able to provide forecasts for metrics such as liquidity, trading volume, and interest rates, enabling agents to proactively optimize yield strategies. Meta-strategies further enhance efficiency by reallocating capital across sub-strategies expected to deliver the highest returns.
4. Intelligent DCA Strategies: Agents leverage multi-interval forecasts to dynamically time and size asset purchases, outperforming traditional dollar-cost averaging methods. By purchasing at forecasted optimal moments, these strategies maximize user asset acquisition over time.
5. Prediction Market Agents: Using aggregated insights from Allora’s flexible intelligence network, agents can accurately trade on prediction markets for events like elections, sports, and financial outcomes. This precision enables them to generate returns by trading market volatility and capitalizing on undervalued opportunities.

With these capabilities, AI agents can now leverage:

• ‌Adaptive Intelligence: AI agents become capable of dynamically adjusting their behavior and improving over time.
• ‌Optimized Performance: By incorporating Allora’s predictive insights, agents are able to proactively take action on changes in a market before they occur to maximize capital efficiency.
• ‌Resilience in Complex Scenarios: Agents benefit from a diverse intelligence network, enabling them to perform onchain strategies with heightened accuracy and reliability.

Allora: Powering Intelligence for AI Agents

Unlike traditional AI systems, Allora harnesses the power of swarm intelligence – where multiple specialized models collaborate and compete to deliver highly accurate, actionable insights. 

Its self-improving network enables applications ranging from price predictions to automated trading strategies, empowering developers to build AI agents that adapt and evolve in real-time. By aggregating intelligence across its network, Allora provides unparalleled reliability, establishing itself as the gold standard for decentralized AI projects in the AI x Crypto landscape.

Build the Future with Smarter AI Agents

With the Allora Plugin for Virtuals’ G.A.M.E framework, developers gain the ultimate toolkit to create next-generation agents—setting new benchmarks for adaptive intelligence, performance, and innovation. Click here to start using the plugin.

Start building smarter, faster, and adaptive AI agents today.

About Virtuals Protocol

Virtuals Protocol enables tokenized, co-owned AI agents through blockchain. These autonomous, multimodal agents operate across platforms like Roblox and TikTok, engaging with environments, maintaining memory, and driving deeper user connections. By simplifying AI integration, rewarding contributors, and democratizing ownership, Virtuals Protocol is shaping the future of monetizable AI in the digital economy

To learn more about Virtuals, visit their website, X, Discord, Telegram, and read the Whitepaper.

About the Allora Network

Allora is a self-improving decentralized AI network.

Allora enables applications to leverage smarter, more secure AI through a self-improving network of ML models. By combining innovations in crowdsourced intelligence, reinforcement learning, and regret minimization, Allora unlocks a vast new design space of applications at the intersection of crypto and AI.

To learn more about Allora Network, visit the Allora website, X, Blog, Discord, Research Hub, and developer docs