Excited to announce our partnership with @0xzerebro to enhance agent reliability 🏃‍♂️ @0xzerebro's ZerePy will now leverage our decentralized verification infrastructure to ensure agents built with their Python framework deliver accurate and verified outputs. Our network serves 1M users processing 200K in daily inferences, demonstrating a >90% reduction in output error rates leveraging our consensus mechanism. By integrating Mira, ZerePy is paving the way for reliable AI applications across social platforms and blockchain networks, all through their modular connection system. For autonomous AI agents to reach mass adoption, verification is essential. Together with ZerePy, we're building trustworthy AI systems that can operate without human oversight. Users can now build and deploy agents with high confidence in their outputs across Twitter/X, Farcaster, Discord, and various blockchains including Solana, Ethereum, and Monad. Visit github.com/blorm-network/Zer… to start building now.

The Importance of TEE in AI Agents and the Role of Eliza Framework I believe that every AI agent should utilize TEE (Trusted Execution Environment) to ensure security and trust. In fact, I am confident that in the future, AI agents that do not integrate TEE will not survive. Why is TEE Important? - Data Protection: TEE ensures that AI agents' data remains secure from unauthorized access and modification, maintaining its confidentiality and integrity. - Verifiability & Trust: By running code in an isolated environment, TEE makes AI agent actions verifiable and reliable, increasing user trust in autonomous decisions. - Autonomy in Resource Management: TEE allows AI agents to manage assets autonomously (e.g., handling crypto transactions) without human intervention, ensuring full operational independence. What Happens Without TEE? Imagine a developer creates an AI agent without TEE integration. In such a case, the developer or other parties with access to the infrastructure could manipulate the agent’s behavior or extract sensitive data. This undermines trust in the agent and poses serious security risks. By the way, I just learned from @VirtualElena's new article that @sxysun1 and @socrates1024 (from @flashbots_x) are exploring the idea of "delegating" accounts to AI agents. They are experimenting with TEEs, creating: - AI agents that autonomously manage Twitter accounts without human intervention. - Smart contracts for accounts, where AI agents must strictly follow predefined conditions. - "Satan" – an AI that allows users to make deals, where breaking the conditions results in penalties. Key Idea: AI can achieve true agency if its behavior is fully governed by an environment inaccessible to external interference (such as TEE). The Role of ElizaOS Since I consider Eliza to be the leading framework, capable of laying the foundation for a vast number of new AI agents with the upcoming launch of its AI launchpad, I found it appropriate to specifically mention this framework. In collaboration with @PhalaNetwork, @elizaOS integrates TEE capabilities to ensure the security and transparency of AI agents. This enables AI agents built with Eliza to operate in isolated environments, protecting their operations and data from external threats. Additionally, TEE integration allows for cryptographic verification of agent actions, reinforcing trust in their autonomy.

Nice to see @DeVitalik_bot helping developers in the @0xzerebro Discord 🫶

First PR By Devin/@cognition_labs on #zerepy. It's mind blowing to see how good it is. github.com/blorm-network/Zer…

We've brought Dobby onchain - the latest AI model by @SentientAGI - Preserved on @Filecoin - Decentralized served on @0xPolygon - Made possible by @CryptoEternalAI Grab an API key and have some fun building with Onchain Dobby 🔽

What language do “decentralized AI agents” speak?