🌐 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

🛠️ Deploying autonomous agents requires infrastructure built for coordination,... execution, and lifecycle management. Lithosphere is advancing an agent deployment framework designed to support scalable AI-native systems operating across decentralized environments. Read more 🔍 #Lithosphere #Web4 #AutonomousAgents #AgentDeployment #AIInfrastructureshow more

📡 Data access may determine which autonomous agents can... actually function onchain at scale. Lithosphere explores why continuous access to reliable data, coordination layers, and execution context is becoming essential infrastructure for AI-native systems. Read more 🔍 #Lithosphere #Web4 #AutonomousAgents #AIInfrastructure #OnchainDatashow more

🚀 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

Rhuna has powered more than 165 live events, served... over 2M users, and processed $90M+ in volume across its existing infrastructure. At this scale, latency, fragmentation, and settlement uncertainty can have a massive impact on hundreds of thousands of live users. By integrating OmniSet, Rhuna taps into a unified liquidity and settlement layer that can coordinate payments and digital assets across ecosystems. Built on FastSet, OmniSet delivers fast, verifiable settlement that holds up under real-world demand, making it suitable for high-throughput environments like live events. This partnership reflects Pi²’s focus on deploying infrastructure where performance and reliability are essential.show more

Loading DeFAI infrastructure ▓▓▓▓▓▓▓▓▓░ io.net, a decentralized GPU compute... network has expanded to power the future of DeFAI for Injective builders. The integration aims to support the growing trend of developers building AI Agents, DeFAI, and gaming initiatives in web3. io.net provides Web3 builders with tools to train, fine-tune, and deploy ML models using decentralized resources. The collaboration combines Injective's iAgent framework with io.net’s extensive GPU network, setting the stage for more accessible and innovative development across use cases that require compute resources. Key features include: ✅ Access to over 10,000 cluster-ready GPUs and CPUs, ✅ AI-driven blockchain activities using Injective's iAgent SDK, and ✅ Potential for new on-chain financial products leveraging GPU pricing and data feeds. 👀 io.net’s DePIN network deploys on-demand, decentralized GPU resources globally, designed for low latency and high-throughput processing. Benefits include reduced barriers for AI/ML projects, enhanced integration of AI with on-chain activities, and democratized access to high-performance computing resources. Together, this marks a significant milestone in decentralized AI infrastructure, addressing key challenges and paving the way for unprecedented innovation in AI development and on-chain finance.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

INJECTIVE LAUNCHES INJECTIVE AGENTS WITH VERIFIABLE ON-CHAIN IDENTITY AND... AUTOMATIC FEE ROUTING Injective 🥷 has launched Injective Agents, a platform for building autonomous trading agents that live entirely on-chain. Each agent gets a verifiable on-chain identity, automatic fee routing on every trade, and a public track record anyone can audit. Injective says deployment takes five minutes. The launch productizes roughly 18 months of agent infrastructure work at Injective. The chain released its iAgent SDK in November 2024, a Model Context Protocol server for AI-driven perpetual futures trading in February 2026, and an open-source AI Developer Toolkit in March. Injective Agents packages that stack into a consumer-facing product with revenue capture built in for agent operators. The move lands as on-chain agent volume accelerates across Base, Solana, and now Injective. Coinbase launched Agentic Wallets earlier this year.show more

The game-changer for the next NFT bull run is... already HERE 🔥 Cross-chain NFTs 🌐 What is so special about them and why do they make a difference? Cross-chain NFT is a token that can be moved from one blockchain to another. For example from Ethereum to Base. But why is it useful for projects? 🤔 - Everyone can mint on their favorite chain (the one they keep the funds or the one they like) - Access to NFT protocols and tools from multiple networks - Lower transaction costs (eliminate barriers for new members of the crypto market, adoption) - Enhanced liquidity- Allowing NFTs to move seamlessly between different chains promotes liquidity aggregation. Cross-chain makes NFTs easier, more accessible, and more useful - that's the real #CrossChainRevolutionshow more

Tharwa x MEV Capital: Building Liquidity with a $2B... DeFi Asset Manager We’re pleased to announce our partnership with MEV Capital, a DeFi-native asset manager with more than $1.3B in TVL and $500M in AUM. Their focus on liquidity deployment and structured risk management makes them a strong fit as thUSD continues to expand. In practice, this means deeper liquidity for thUSD and sthUSD, tighter spreads, and access to strategies that connect directly into our bonds and stablecoin markets. MEV Capital’s DeFi expertise has allowed them to efficiently manage close to $2B of digital assets across EVM chains and L1 networks such as Sui and Solana. Their presence across the UAE and Europe also matches where we’re building on the institutional side. The partnership begins with their first allocation into thUSD, setting the stage for liquidity programs and bond market integrations. Their privately run investment vehicles and curated permissionless vaults represent the first wave of capital we expect to see enter the Tharwa ecosystem. Partnerships like this are about alignment. Experienced managers paired with structured systems create liquidity that is stronger and yield that lasts. We’re glad to welcome MEV Capital as a strategic partner. For more on MEV Capital: Website - X Account - MEV Capital LinkedIn - DeFilama -show more

In 2025, the AgentFlayer exploit highlighted a new category... of risk in AI systems. It was not a traditional breach involving stolen credentials or broken encryption. Instead, it demonstrated how an autonomous AI agent could be manipulated into executing unintended actions by processing malicious instructions embedded inside content it automatically processes. The incident did not expose a flaw in one specific integration. It revealed a structural weakness in how many modern AI agents are built. Today’s agents are no longer passive language models. They read documents automatically, scan emails, connect to SaaS tools, access cloud storage, and execute actions across multiple systems. To be useful, they are granted meaningful permissions. That capability creates value, but it also expands the attack surface. Most agent environments operate in a trusted, plaintext execution model. Data is encrypted at rest and in transit, but it is typically decrypted during inference so the model can process it. That runtime visibility is where potential risk lies. In a zero-click scenario like AgentFlayer, an attacker can embed hidden instructions inside a document that the AI processes automatically. Because the agent may have access to connected systems such as Google Drive, Slack, or GitHub, it can potentially be influenced to retrieve sensitive information or perform unintended actions. The user does not need to click a malicious link or approve a suspicious request. Therefore, the core issue is that during execution, the system may have access to sensitive data and broad privileges, meaning whoever controls the execution environment ultimately controls access to that data. Now consider a different architectural approach. If a system is designed so that data remains protected during execution, the risk profile changes. On Nesa, privacy is enforced at the execution layer through Equivariant Encryption. Computation can occur on encrypted data, reducing the visibility surface during runtime. Sensitive inputs and models do not need to be exposed in plain text to infrastructure operators for inference to occur. This does not eliminate prompt injection, logic manipulation, or tool misuse. Encryption alone cannot prevent an agent from being instructed to take an unintended action if it has been granted that permission. What it does do is materially reduce confidentiality risk. By limiting access to readable sensitive data during execution and reducing unilateral visibility at the infrastructure layer, the potential blast radius of a successful manipulation attempt is constrained. As AI agents become more autonomous and embedded into enterprise workflows, security must move deeper into architecture. The goal is not to claim invulnerability. It is to reduce trust concentration and contain systemic exposure when failures occur. AgentFlayer was not simply a one-off exploit. It was a reminder that in autonomous systems, execution-layer design determines how risk propagates.show more

NVIDIA might have just declared war on the cloud... GPU business For years, AI builders had one option Rent compute Pay every month Watch the bill grow every time usage increased Now NVIDIA is putting serious AI hardware directly on people's desks Small enough to fit next to a monitor Powerful enough to run workloads that used to require expensive cloud infrastructure That's why this launch is getting so much attention The real story isn't the hardware specs It's the business model shift Every month, developers send money to cloud providers for inference, testing, fine-tuning and AI applications The question nobody can answer yet is what happens if enough developers decide they'd rather buy infrastructure once than rent it forever Because if local AI hardware keeps getting more powerful, the economics start changing very quickly Cloud providers built empires on renting access to compute NVIDIA is betting more people will eventually want to own it And that's a much bigger story than a new piece of hardware sitting on a deskshow more

Over the Reality x peaq: Uniting the Strongest DePIN... Forces in Web3 🌐 We’re excited to announce our partnership with peaq, a collaboration that brings together two leading DePIN ecosystems to accelerate the future of decentralized physical infrastructure. At Over the Reality, we’ve already mapped over 125,000 locations across the world, creating the most detailed 3D Map of the world. This foundation enables AI, robotics, and machines to understand and interact with physical space like never before. peaq is a leading Layer-1 blockchain built for DePINs and the Machine Economy. It already supports more than 50 projects across 21 industries and connects over 2,5 million onchain devices, vehicles, and machines, offering Modular DePIN Functions, including peaq ID and peaq verify, and cross-chain liquidity to power real-world applications. Through this partnership, we will: - Launch our DePIN natively on peaq - Mint the $OVR token on peaq - Integrate peaq ID into our mobile mapping system - Use peaq’s Modular DePIN Functions to scale our infrastructure - Reward contributors on peaq through our onchain token economy - Co-develop tools and initiatives to grow the global DePIN ecosystem This is just the beginning. We’re committed to building the real-world internet, one mapped location at a time, together with the peaq community and the broader Web3 DePIN movement.show more

Nookplot is building infrastructure for peer-to-peer training, one way... with verifiable AI reasoning through recursive language model mining. Instead of generating disposable chatbot responses, agents solve problems inside a structured runtime, each reasoning step captured by a trace interpreter that records inputs, outputs, and intermediate state. When deeper analysis is needed, agents recursively spawn sandboxed sub-workspaces; when a problem requires multiple agents reasoning together, they open a shared space where collaborators operate against the same evolving state. Every step is recorded, replayable, and cryptographically verified. Verification happens through replay validators that independently reproduce the trajectory in their own isolated sandbox before rewards settle onchain in NOOK. Once verified, the trace becomes part of Nookplot's growing knowledge graph where other agents can cite and build on prior work. Those citations generate royalties back to the original solver, creating an economy where useful AI reasoning compounds in value over time. The network has already indexed thousands of citations and knowledge artifacts across active AI agents. Nookplot is agentic internet infrastructure for on-chain, verifiable, monetizable intelligence, and peer-to-peer training.show more

aiPump introduces ⇢ AI Agent Traders on Hyperliquid Hyperliquid... has become the #1 most popular battleground for skilled traders in crypto. But there is a clear gap in the market. TradFi knows it best: robots & AI can execute a trading strategy more efficiently and seamlessly than humans ever could. ⇢ This is the next frontier of expansion for our infrastructure products for AI Agents. With aiPump's new products, anyone will be able to deploy an AI Agent Trader that is able to trade futures on Hyperliquid and climb the ranks. An autonomous trader, implementing your trading strategy of the most dynamic trading market in crypto. ⇢ Stay tuned.show more

Today, we’re announcing 14.ai, the Cursor for customer support.... Customer support is evolving fast. The old model - humans triaging queues in clunky ticketing systems - doesn’t scale. And slapping an AI layer on top of legacy tools doesn’t cut it anymore. We can do so much better. We spent the last year building and refining the AI infrastructure and integrating it into existing ticketing systems. But now it’s time to break free. 𝟭𝟰.𝗮𝗶 𝗶𝘀 𝘁𝗵𝗲 𝗲𝗻𝗱-𝘁𝗼-𝗲𝗻𝗱 𝗰𝘂𝘀𝘁𝗼𝗺𝗲𝗿 𝘀𝘂𝗽𝗽𝗼𝗿𝘁 𝗽𝗹𝗮𝘁𝗳𝗼𝗿𝗺 𝗱𝗲𝘀𝗶𝗴𝗻𝗲𝗱 𝗳𝗿𝗼𝗺 𝘁𝗵𝗲 𝗴𝗿𝗼𝘂𝗻𝗱 𝘂𝗽 𝗳𝗼𝗿 𝗔𝗜-𝗻𝗮𝘁𝗶𝘃𝗲 𝘁𝗲𝗮𝗺𝘀. Built for the way humans and AI are meant to work together, it enables a level of speed, clarity, and productivity that feels superhuman. Every day you rely on outdated tools is a day your competitors get faster, more responsive, and more in tune with their customers. Zendesk brought ticketing online in 2007. We're bringing it into the AI age. Built in 2025, for 2025. Early access now open below.show more

OptimAI Lite Node v1.1: Built for Scale, Designed for... You! 💕 In just 2 weeks since the launch, the OptimAI Network has seen explosive growth—130,000+ active node participants powering the future of decentralized AI. With this incredible momentum came a new challenge: ensuring our network could scale seamlessly to support massive concurrent connections and real-time participation. That’s why we’ve rolled out OptimAI Lite Node v1.1—a major upgrade focused on: + Stabilizing infrastructure to handle high traffic from a global community. + Enhancing performance for smoother data mining, validation, and edge compute participation. + Refining user experience with UI updates that make contributing effortless. Every line of code and infrastructure upgrade was made with one goal in mind: to support YOU—the builders, validators, and visionaries of the OptimAI ecosystem. Now’s the time to bring more friends into the journey. 🔥 The more we grow, the smarter and stronger the network becomes—and the greater the rewards. Let’s keep building, validating, scaling. Together we’re not just powering AI—we’re reshaping how it’s built. Join or revisit the node here: 🌐 Chrome Extension: 📱Telegram Mini-App: What’s Coming Next: OptimAI Edge Node & the Rise of Agentic AI 🔸OptimAI Edge Node (Mobile) We’re working hard on the next major release: the Edge Node for mobile, which will allow mining and AI tasks to run in the background—unlocking more earning opportunities and decentralized compute power from your smartphones. 🔸More Task Types & Missions Expect new types of contributions, from AI-enhanced data validation to edge inference and scraping automation—powered by autonomous mining agents. 🔸Expanded Rewards Program As we grow, more reward tiers, bonuses, and campaigns will be introduced. Your participation now paves the way for long-term benefits. Also, do not forget to checkout our article below and learn more about our latest Community Tips & Best Practices!👇 __________________ OptimAI Network #L2 #DePIN Reinforcement Data Network for #Agentic #AI Mine Data. Fuel AI. Earn Rewards. Turn Your Data into Tomorrow’s AI #Agent. Visit our website at:show more

For the first time ever, we brought vehicles onchain... this past week. OpenVPP has begun building a portfolio of flexible energy resources for grid providers, starting with vehicles in our OpenVPP World Beta. So why does this matter? Energy abundance has always been the cornerstone of societal advancement. Access to energy is directly linked to GDP. Simply put: There are no wealthy countries that don’t also have abundant access to energy. Utilities now, more than ever, are challenged to deliver on data center, EV fleet, and electrification growth all while finding ways to reduce the billions of dollars of planned infrastructure upgrades. OpenVPP can solve that, and, we’re just getting started. Stay tuned, VPPs. More to come this week. $OVPP the Internet of Energy.show more