Modern AI still faces major challenges, and if you want to evaluate an AI project, just check these key points: + No provability: you can’t verify what logic an agent actually ran. + Weak ownership & monetization: creators struggle to keep rights or capture revenue from their agents. + Poor composability: agents don’t work seamlessly together. + Centralized trust: systems depend on opaque infrastructure. @Xyberinc takes an interesting approach to solving all of these. It’s a full-stack OS for ownable, provable AI agents. At its core are trusted execution environments (TEE) that produce cryptographic proofs of behavior, so anyone can confirm an agent executed exactly as intended. Each agent has on-chain memory, allowing it to persist and evolve, and native monetization rails that make it possible to fractionalize income into NFT shards, so creators and backers can share in the upside. The $XYB token powers all of these. Every interaction, whether accessing an agent, running a plugin, or processing inference, uses credits purchased with XYB. Staking XYB gives holders a share of protocol revenues, along with governance rights. Part of the income generated goes to periodic buybacks, supporting the token’s long-term value. Agent revenue can also be split into NFT shards, enabling a transparent, programmable economy around autonomous intelligence. But Xyber doesn’t stop at digital AI. It extends autonomous intelligence into the physical world through its “Xybotics” robotics layer. + AI-to-Robot Interface – Agents control robotics and IoT devices through modular plugins, making real-world automation programmable, composable, and enforceable via open logic, no custom firmware or proprietary APIs needed. + Verifiable Autonomy – All robotic execution runs inside confidential compute, with tamper-resistant behavior, onchain attestations, and cryptographic trust. + Simulation-to-Deployment Pipeline – Developers can simulate, test, and deploy robotics plugins with proof before going live, ensuring prototypes become product-grade systems with trustless upgrade paths. + Onchain Physical Agents – Robots operate as onchain entities: holding wallets, executing logic, and following incentive models, becoming economically active participants in decentralized ecosystems. + Tokenized Control – Ownership, permissions, and monetization are handled directly in agent logic, enabling fractionalized or community-governed physical systems. Also looks like Xyber is moving quickly from vision to reality. The waitlist is already open, a social AI agent is about to debut on X, a tamper-proof TEE wallet is in development, and a physical “Xybotics” robot will soon showcase real-world capabilities. For developers, investors, and Web3 builders who see the future of AI as decentralized, verifiable, and economically sustainable, keeping an eye on Xyber now means getting in early on a movement that could redefine what it means to own and operate intelligent agents truly.