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Allora is now integrated with AgentiPy, bringing collective intelligence to AI agents operating on Solana. 

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This integration gives developers an intuitive way to deploy and manage AI-driven agents that leverage Allora’s BTC, SOL, and ETH price predictions while seamlessly interacting with 40+ onchain protocols. This means building AI-powered agents capable of automated liquidity provision, optimal trading strategies, and intelligent portfolio management—entirely within Python.

Intelligent AI Agents Go Onchain

AgentiPy is an open-source framework designed to bridge AI and blockchain, enabling Python-coded agents to interact with Solana seamlessly.

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Traditionally, integrating Python-based AI with blockchain has been cumbersome. AgentiPy changes that by offering a straightforward toolkit that allows AI agents to transfer tokens, execute trades, manage liquidity, and more—all from Python. AI agents built with AgentiPy can now interact with the blockchain just as easily as they would with traditional databases or APIs. 

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Allora transforms AI agents built with AgentiPy by providing a single, highly reliable intelligence feed that consistently outperforms any individual model. By aggregating and refining insights from multiple machine learning models, Allora enables agents to make autonomous, data-driven decisions with unparalleled accuracy. 

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Rather than reacting to outdated market data, agents leveraging Allora can anticipate shifts before they happen by tapping into Allora’s collective intelligence.

Bringing AI Agents to DeFAI

This integration unlocks a powerful range of AI-powered agent use cases within DeFAI, where agents are not just automating transactions but making informed financial decisions based on collective intelligence. 

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For example:

• Proactive Liquidity Provisioning – An AI agent can use Allora’s price forecasts to anticipate market shifts and adjust liquidity on Meteora, capturing more fees while minimizing impermanent loss;
• Smarter Trading Execution – Agents can execute high-confidence trades on Orca, leveraging Allora’s real-time price intelligence to enter or exit positions at the optimal moment;
• Automated Yield Optimization – Instead of static yield farming, an AI agent can dynamically move assets based on Allora’s market outlook, adapting to volatility for optimized decisions.

Empowering Developers to Build the Future of Intelligent Agents

Developers can now build, deploy, and scale AI agents that not only execute transactions but intelligently optimize strategies—all within the Python-based simplicity of AgentiPy.

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By harnessing Allora’s collective intelligence, AI agents on AgentiPy are no longer bound by static logic. Instead, they can continuously improve and make smarter decisions in DeFAI.

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Start building smarter AI agents today with AgentiPy and Allora here.

About AgentiPy

AgentiPy is an open-source framework that enables AI agents to seamlessly interact with onchain applications, starting with Solana, using Python.

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It simplifies blockchain integration for Python developers, allowing AI agents to execute transactions, trade, manage liquidity, and more—without leaving the Python environment. By bridging AI and blockchain, AgentiPy unlocks powerful autonomous use cases in DeFAI.

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To learn more about AgentiPy, visit the AgentiPy website, X, Discord, and GitHub.

About the Allora Network

Allora is a self-improving decentralized AI network.

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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.

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