Hybrid Joins the Self Chain Ecosystem
We’re excited to announce our latest partnership with Hybrid, a modular AI agent infrastructure platform that enables anyone to deploy and monetize autonomous agents on-chain.
Through this collaboration, Self Chain and Hybrid are joining forces to push the boundaries of Web3 automation, combining Hybrid’s full-stack agent architecture with Self Chain’s secure, modular, and intent-centric execution layer.
Together, we’re laying the infrastructure for scalable, autonomous execution for AI Agents.
What This Partnership Brings
By integrating with Self Chain, Hybrid unlocks foundational infrastructure that enhances how agents operate, transforming insight into action, safely and seamlessly across the Web3 landscape.
Intent-Centric Execution
Self Chain’s AI-powered intent layer allows on-chain actions to be triggered based on high-level goals—enabling agents within Hybrid to parse objectives and execute optimal strategies across DeFi protocols, smart contracts, and multiple blockchain networks. This eliminates the need for hardcoded routing or manual transaction flows, making automation more responsive and scalable.
Secure Keyless Access
With Self Chain’s MPC-TSS based keyless wallets, operations can be executed without ever relying on private keys. This removes single points of failure while preserving full control over assets, enhancing both the security and usability of Hybrid’s applications.
Seamless Onboarding
Self Chain simplifies the onboarding process through streamlined wallet creation and management. Without seed phrases or browser extensions, entry into tools like Atlas becomes frictionless—enabling prompt-driven interaction and on-chain execution to happen instantly and intuitively.
This partnership represents a convergence of intelligence and execution. Hybrid provides the logic and decision-making infrastructure—empowering developers and systems to deploy autonomous agents capable of parsing real-time data, identifying opportunities, and defining next steps. Self Chain ensures those steps are carried out, reliably and securely, through modular execution layers, keyless access, and intent-based coordination.
Together, we’re enabling a more responsive, scalable, and intelligent Web3. One where AI agents move from passive insight to real-time, decentralized action.
About Hybrid
Hybrid is redefining how AI agents operate across decentralized systems. As a modular protocol, it offers an end-to-end environment for deploying, coordinating, and monetizing AI agents on crypto rails. The infrastructure includes a dedicated Layer 2 rollup validated by Integrity Nodes, along with a growing ecosystem of over 40,000 deployed agents and more than 25 million testnet wallets.
Its platform supports key components like Atlas, a Web3 copilot trained on live blockchain and market data, and Killer Whale, a high-performance AI trading fund that has already shown outsized returns in testnet environments. With purpose-built SDKs and a verifiable agent framework, Hybrid gives developers the tools to build agents that do more than observe—they execute autonomously.
About Self Chain
Self Chain is the AI-powered intent layer for Web3, and a Modular L1 simplifying blockchain interactions. By combining keyless wallets (MPC-TSS/AA), intent-driven automation, and seamless multi-chain access, Self Chain eliminates complexity, making Web3 more intuitive, autonomous, and secure.
With Keyless Wallets and AI-powered intent execution, users can seamlessly onboard, manage assets, and interact with dApps without handling private keys or complex transactions. Self Chain’s AgentFi Infra enables autonomous on-chain AI agents to execute transactions, optimize DeFi strategies, and interact across ecosystems, while PayFi powers seamless, real-time blockchain payment systems, aligning with the evolving demands of the emerging global economy. Developers benefit from tools like the Intent SDK, Keyless Wallet SDK, and Account Abstraction Plugins, enabling the next generation of AI-driven applications with enhanced security and efficiency.