The initiative strengthens builder access to AI-native execution tools as Lithosphere prepares infrastructure for Web4 applications and autonomous agent systems.
LONDON, UK – June 15, 2026 – Lithosphere is expanding Lithic developer pathways to support AI-native smart contract deployment across Web4 applications, autonomous agent systems, and intelligent decentralized infrastructure. The initiative reinforces Lithosphere’s focus on giving builders the execution foundation needed to create applications that can support programmable logic, agent-driven workflows, and verifiable onchain activity.
Lithic is designed as a core execution layer within the Lithosphere ecosystem, helping developers build smart contract environments suited for intelligent systems. As autonomous agents become more active across blockchain networks, developers need tools that support structured execution, automated workflows, identity-aware interactions, and coordination across decentralized systems. Lithic strengthens this builder path by aligning smart contract development with the requirements of AI-native applications.
“Developers need execution tools that match the direction blockchain systems are moving toward,” said J. King Kasr, Chief Scientist at KaJ Labs. “Lithic gives builders a pathway to create AI-native smart contracts for applications that require coordination, verification, and intelligent onchain execution.”
The expanded developer focus supports Lithosphere’s broader TGE readiness by connecting builder activity with the infrastructure layers behind LITHO utility. Through Lithic, PPAL, DNNS, MultX, and LEP100 standards, Lithosphere is creating a foundation where developers can build applications for Web4 environments, agent economies, and machine-driven blockchain activity.
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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