The standards framework supports structured rules for AI-native infrastructure, autonomous agent activity, and trusted decentralized system operations.
SINGAPORE, SG – June 22, 2026 – Lithosphere is strengthening LEP100 standards to support Web4 execution, verification, and autonomous agent coordination across its AI-native blockchain infrastructure. The framework is designed to provide structured rules for how intelligent systems, decentralized applications, and machine-driven workflows interact within the Lithosphere ecosystem.
As Web4 activity expands, decentralized systems require more than execution tools alone. They need standards that define how actions are verified, how coordination occurs, how agents interact, and how infrastructure activity remains consistent across different layers. LEP100 supports this requirement by creating a standards foundation for agent-ready applications, AI-native smart contracts, identity-aware workflows, and cross-chain coordination.
“Web4 systems need standards that can support intelligent execution and trusted coordination,” said J. King Kasr, Chief Scientist at KaJ Labs. “LEP100 gives Lithosphere a stronger framework for verification, governance, and agent interaction as autonomous systems become more active across decentralized environments.”
LEP100 strengthens the broader Lithosphere stack alongside Lithic for AI-native execution, PPAL for programmable privacy-aware identity, DNNS for decentralized naming and routing, and MultX for cross-chain coordination. By advancing standards for verification and governance, Lithosphere is building a more structured foundation for LITHO utility, autonomous agent economies, machine-to-machine workflows, and next-generation Web4 applications.
About Lithosphere
Lithosphere develops blockchain infrastructure designed to support programmable digital assets, cross-chain interoperability, and AI-native decentralized execution environments. The platform focuses on enabling intelligent systems to operate within verifiable, decentralized networks through structured execution models and interoperable protocols.
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Dorothy Marley
KaJ Labs
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