🚀 Agent deployment is becoming a core infrastructure layer... for Web4 systems. Lithosphere explores why scalable deployment frameworks are essential for launching, managing, and coordinating autonomous agents across decentralized networks. Read more 🔍 #Lithosphere #Web4 #AutonomousAgents #AgentDeployment #AIInfrastructureshow more

🚀 Strategic access is opening ahead of LITHO’s planned... TGE. Lithosphere is broadening ecosystem participation around AI-native infrastructure for autonomous execution, cross-chain coordination, identity, and verifiable Web4 systems. Read more 🔍 #Lithosphere #LITHO #Web4 #AIInfrastructure #AutonomousAgentsshow more

🧬 Web4 infrastructure works better when core systems operate... together. Lithosphere connects identity, naming, AI-native execution, and cross-chain coordination into one stack for users, applications, and autonomous agent activity. #Lithosphere #Web4 #AIInfrastructure #Interoperability #AutonomousAgentsshow more

🌐 Autonomous agents require more than liquidity access —... they require infrastructure that can coordinate execution across decentralized environments. KaJ Labs explores why AI-native systems depend on interoperable liquidity infrastructure built for routing, verification, and persistent onchain coordination. Read more 🔍 #KaJLabs #Web4 #AutonomousAgents #LiquidityInfrastructure #AIInfrastructureshow more

EIP-8004 is coming to the Nova architecture, a trustless... infrastructure for AI agents that introduces key on-chain registries, enabling agents to interact safely across the Shido Network. These core components allow autonomous AI agents to verify identity, build reputation, and collaborate without relying on a centralized platform. The result is a decentralized trust layer for agent-to-agent economies, where agents can autonomously discover, evaluate, and work with one another across the Shido ecosystem.show more

UI_UI x Cluster Protocol 🤝 We’re excited to announce... a new partnership with Cluster Protocol , an infrastructure layer that makes it possible for AI agents to operate natively onchain. Cluster Protocol provides the coordination fabric for autonomous systems - enabling agents to interact, execute, and compose directly within decentralized environments. This collaboration extends UIUI’s vision of AGI for applications into an agent economy where workflows don’t just think, but execute directly across networks. (ui_ui)show more

🟩Rivalz x Tria 🚀 We are excited to announce... a new partnership between Rivalz Network and Tria, a leader in chain abstraction technology. This collaboration empowers our platform by enabling seamless movement of PAGs and rAgents across multiple blockchain networks, eliminating traditional cross-chain friction. By integrating Tria’s innovative solutions, Rivalz can now offer enhanced interoperability and ease of deployment for its resource-aware agents. This means our intelligent agents can efficiently operate and interact across different chains, driving smoother decentralized operations. This partnership marks a significant step forward in our mission to build a robust, world abstraction layer for AI. Together, Rivalz and Tria are setting the stage for a more connected and agile decentralized ecosystem, unlocking new opportunities for developers and users alike. 🚀🚀show more

March 18, 2025 marked the public launch of OptimAI.... In one year, it has evolved from a lightweight node layer into a decentralized intelligence infrastructure powering real-time data, compute, and reinforcement for agentic systems. Not just nodes. Not just data. A continuously learning, network-driven intelligence layer. This is infrastructure for a new class of software: autonomous agents that persist, adapt, and operate across environments. Year one established the network. Year two is where it compounds into coordination and value flow. Personal agents. Reinforcement at network scale. Emerging primitives for AgentFi. New layers coming online. 2026 won’t just be about scale, it’s where the network starts to operate. Keep building!show more

🚀 Kite AI's Incentivized Testnet v1 Aero is LIVE!... We are launching the first AI-focused Layer 1 sovereign blockchain with Avalanche🔺––to empower fair, transparent collaboration across data, models, and agents. At our core is Proof of Attributed Intelligence (Proof of AI), an innovative consensus mechanism that ensures fair attribution and transparent rewards for every AI contributor. Here’s what we are building and why this Testnet is crucial for AI innovation. 🧵👇show more

M E S S I E R | P2P... Liquidity Provider We welcome OOBE as our latest #Solana liquidity partner on the P2P Exchange. You can now trade $OOBE with zero slippage and no buy or sell token taxes at: OOBE Protocol is a developer-focused platform designed to merge #AI agents with blockchain infrastructure on Solana. Core Services: ▪️Agent builder: Create and manage AI agents ▪️On-chain memory: Store agent data securely ▪️Open SDK: Build decentralized AI applications ▪️Integrations: Connect agents to tools & contracts ▪️Synapse RPC: Low latency & fail-proof infra for Solana dApps OOBE PROTOCOL brings programmable AI agent tools fully on-chain; enabling secure, scalable, and decentralized intelligent systems. Besides, its Synapse RPC powers Solana projects with fast, reliable, and affordable infrastructure.show more

dTelecom is raising a Seed Round. We're building decentralized... real-time communication infrastructure - voice, video, and AI services (STT, TTS, Translation) for developers and autonomous agents. Why now: → $150B+ combined TAM by 2030 (RTC API + Voice AI + AI Agents) → AI agents need real-time voice infra → 2-5× lower cost, 2-4× lower latency than centralized providers → We're live, generating revenue, with $1.5M raised previously Looking for investors who understand AI infrastructure at scale. Learn more:show more

Founder of Humanity, Terence Kwok 「 🖐️ ✦ 🌏... 」, explains why physical proof of humanity is the most critical infrastructure for an internet overrun by deepfakes and AI agents. By utilizing palm biometrics and zero-knowledge technology, they are building a scalable, less invasive trust layer to fight the trillion-dollar AI scam economy. [Partner Content]show more

Behind every OptimAI Node is a mission far greater... than rewards: 🔸To build a decentralized Reinforcement Data Network 🔸To unlock Agentic AI for everyone—not just a privileged few 👉OptimAI Edge Node: Our architecture is now in motion: 🔸OptimAI DePIN to power decentralized infrastructure 🔸OptimAI DeHIN to amplify collective intelligence 🔸Reinforcement Data Layer to train agents smarter, fairer 🔸Compute Layer to enable real-time AI at the edge 🔸OptimAI Chain to govern everything, transparently and efficiently OptimAI Agent Studio, Agent OS, Data Engine, Compute Engine: all part of what we’re building next. This is a network built by people, for people. And you’re not just early, you’re essential. Let’s keep mining, contributing, earning rewards in return, and rewriting the future of Decentralized AI. The future is Agentic. The fuel is your data. The power is decentralized. One Node. One Data. One Agent at a Time. #BUIDL with us!show more

Tokenised deposits are becoming significant infrastructure for #financialinstitutions. A... succession of central bank programmes, commercial deployments, and regulatory frameworks across 2025–26 has removed the uncertainty. The question now is positioning. When network effects begin to compound, institutions with interoperable infrastructure will be ahead. Those holding proprietary #tokenisation stacks that cannot communicate with the majority of their counterparties will be left behind. The architecture is taking shape. Read the full guide to understand where #tokeniseddeposits, wholesale #CBDCs, and #interoperability infrastructure fit together, and what that means for your institution:show more

Karpathy's Agentic Engineering finally has proper tooling! (built by... Google) Karpathy defined agentic engineering as the discipline that separates production agent work from vibe coding. The core skills he listed were spec design, eval loops, and security oversight. The problem has been that practicing this still requires a different tool for every phase: - editor for code - a terminal for scaffolding - a browser for testing - a cloud console for deployment - and a separate framework for evals. Every transition is a context switch. The solution to production-grade Agentic Engineering is now actually implemented in Google’s Agents CLI. It covers the entire workflow in one place for scaffolding, evaluating, and deploying ADK agents. One setup command injects 7 ADK-specific skills into a coding agent's context, which lets it handle scaffolding, evals, deployment, and enterprise registration through natural language. I tested this end-to-end by building a RAG agent from scratch using Claude Code. It scaffolded the full project from the ADK agentic_rag template, generated 20 eval scenarios with LLM-as-judge scoring, and returned a quantitative scorecard. Finally, it also deployed everything to Agent Runtime and registered the agent to Gemini Enterprise, so the entire org can discover and use it. The video below shows this in action, and I worked with the Google Cloud team to put this together. Agents CLI GitHub repo → (don't forget to star it ⭐ ) I wrote up the full build covering all six steps from install to enterprise registration. It includes the eval scorecard, the instruction loophole the eval caught before deployment, and what the deployment process actually looks like end-to-end. Read it below.show more

YOMIRGO #ProductUpdate YOMIRGO AI Hub — Agent Matrix Lab... Testnet is LIVE. ➡️ YOMIRGO has officially launched 6 AI agents and will soon open them for product testing and user experience, continuing to empower more AI agents with real-world deployment potential. With #GobiPartners as the lead investor, and the joint support of Google , Finwex AI , #BomanGroup and the Nordic Chamber of Commerce,, after a year of systematic preparation, Agent Matrix Lab has now built the capability to onboard up to 10 compliant AI agents per month across major global markets. We look forward to seeing #YOMIRGO drive a milestone transformation in the global algorithm asset market in 2026.show more

Quack AI × Avalanche🔺 Q402 is officially expanding into... the Avalanche ecosystem. We are pushing toward more scalable, execution-first environments for agents. With Avalanche's sub-second finality and builder-first stack, Q402 now provides a foundation for verifiable, policy-aware execution that scales with real-world usage. What’s new for the Avalanche community? The Q402 signature-based execution layer is now LIVE on the Avalanche C-Chain. Users and builders can now: • Zero Gas Barrier: Settle ERC-20 transfers (USDC, etc.) without holding AVAX for gas. • Sign-to-Pay: Decouple intent signing from transaction execution for a seamless UX. • Production-Ready: High-performance, secure, and auditable execution layer for the agent economy. Contract Deployed on C-Chain: Execution should feel native. Verification should be default. Welcome to the agent-native era on Avalanche.show more

🌌 AI Agents Are Taking Over... And We’re Bringing... Them to Berachain Foundation 🐻⛓ 🐻🔥 Hundreds of hours spent on research, tracking wallets, analyzing bribes, and managing portfolios... What if your AI Agent could do this for you—24/7? ⏲️ 🔧 Our Tech Is Next-Level On our testnet, you’ve been memeing it up with PumpFun™, creating dank memecoins enhanced by NFTs. But once Berachain’s mainnet is live, you’ll be able to create your own AI Agents. To test and perfect our tech, we shared it with projects like AI Agent Layer | AIFUN, allowing us to test it in all conditions and continuously improve its performance. 🛠️🔥 🐻 Why AI Agent are great for berachain? Berachain might seem simple at first glance: validators, bribes, POL, staking rewards… but the deeper you go, the more complex the game theory becomes. 🤯 Here’s where AI comes in. Imagine an agent helping you: 💡 Optimize bribes 📊 Analyze validator behavior 🧠 Make decisions faster and smarter and much more, as AI Agents won't be limited to the chain itself! Examples of AI Agent Projects Dominating the Space 🚀 $VIRTUAL - Launchpad for AI Agents ($3.5B mcap) 🧠 $AI16Z - Eliza OS Framework ($2B mcap) 🔍 $AIXBT - The AI Analyst revolutionizing CT ($430M mcap) 🎮 $GAME - Low-code toolkit for creating AI Agents ($230M mcap) 💡 There are already AI Agents managing portfolios, betting on sports, and automating tasks. And guess what? They're outperforming humans. 🌐 We've built Virtuals on Berachain Our protocol integrates directly with Berachain, providing real utility to our token: $AIBERA 💎. Say Ooga Booga if you want to see a thread about tokenomics and $AIBERA utility. The chain has beras on it, and beras deserve AI Agents. 🐻🤖 Ooga Booga. 🔥show more

IoTeX was selected by Messari as a core case... study in its new AI report, cited alongside World, Coinbase 🛡️, Openτensor Foundaτion and others. Messari’s research underscores a bigger shift: real-world AI needs verified data, and IoTeX is the first full stack infrastructure that can supply it. Live device data becomes verifiable insight, ready for real-world agentic deployment. Quicksilver is already proving this in production with DIMO, Nubila Network and more, powering agentic applications built on IoTeX-verified real-world intelligence. Read the full analysis in the report below.show more

Increasingly, HTML Artifacts are becoming a core part of... how I work with AI agents. Long-horizon agent sessions need a better way to surface insights about what work it has done. This may not be obvious right now, but as you start to let your agent work on dynamic workflows, large codebases, long-running loops (e.g., using /goal), and deep research tasks, you need a good way to present results. Chat window is not it. You also don't want to just trust everything the agents do. Artifacts help provide an important verification layer, which in turn enables important decision-making. I like HTML artifacts because I can just ask the agent to produce as many of them (and in whatever form) as I need to verify the work and make sense out of everything. I even built a nice tab system for my artifacts. They are great for continual learning and research. I use HTML artifacts for logging, tracking experiments, brainstorming, managing my inbox, code reviews, agent session management, deep research, writing, reading, and so much more. I believe Andrej Karpathy wrote about this somewhere: As we move on to more advanced applications of AI agents and outputs get more complex, we will start to find the need for even more advanced forms of interactions with AI, including interactive neural videos/simulations.show more

We’re excited to announce the launch of Nektar Network’s... Mainnet: Stage One—a pivotal first step toward fully realizing our Decentralized Infrastructure Marketplace. The first phase focuses on rolling out the Network flow, providing the initial structure for future phases of the protocol. We’re proud to welcome 0G Labs (Home of Infinite AI), Berachain Foundation 🐻⛓, Drosera, ORA, Orderly, GAIB, and Olas (formerly Autonolas) as the first Networks joining Nektar in this exciting phase. Each represents a step forward in building a more flexible, scalable, and secure future for decentralized applications. Key Details: 1️⃣ Whitelisted Access for Initial Launch Partners: In this first phase, access is restricted to launch partners through a temporary whitelisting mechanism. 2️⃣ Progressive Rollout of Key Features: Full capabilities of Nektar’s marketplace will unfold in stages:Network Onboarding: Initially, only Networks will be onboarded to validate and enhance the Network’s framework. Here's what's coming soon ⬇️ · Introduction of Distributed Asset Managers (DAMs): Following Network setup, DAMs will enter to facilitate asset deployment and streamline operations. · Delegation Activation: Finally, we’ll activate Delegation, enabling token deposits and full participation in Nektar’s marketplace ecosystem. With each rollout phase, we ensure Nektar’s marketplace is secure and optimized before moving to the next, allowing seamless, efficient participation across Networks, DAMs, Delegators, and Providers. Learn more about Nektar’s Mainnet Stage One Launch here➡️show more