📢 Stash Labs Official Website Upgrade Notice： As the decentralized storage infrastructure for RGB Protocol, we’re upgrading our official site to better serve the ecosystem! ⏰ Time: 21:30 CST | 13:30 UTC ⌛ Duration: ~3-5 hours 🔒 The site will be temporarily inaccessible during this period. We appreciate your support & patience! 🙏 #StashLabs# #RGBProtocol# #DecentralizedStorage#

Integrate Walrus decentralized storage into EVM dApps with Solidity examples, then use agentic coding tools to accelerate your Sui stack builds. @TheContractHero of @SuiNetwork The recording is up:

Community-Controlled Archives are moving collections onto decentralized storage. Join this upcoming @TechSoup Public Good App House demo to see the exact governance and migration steps.

Some of my followers and friends asked me “What can decentralized storage actually store?” Files are the most basic form of storage Beyond that, it can also host Web frontends DApp interfaces DeFi interfaces Frontend files such as HTML / CSS / JavaScript Application assets such as images and videos Website deployment files DApp static resources and frontend components And other data that can be read and called by applications What’s worth paying attention to isn’t just “where the data can be stored” It’s that when smart contracts are already running on-chain, but the web frontend still relies on centralized servers, part of the entire application is still off chain That’s exactly the part HashPort is solving True fully on chain shouldn’t just be about contracts and data The frontend deserves to be on chain too

4AI 🤝 LimeWire We’re partnering with @limewire to strengthen the AI agent economy with decentralized storage, secure file infrastructure, and AI-powered content tools that enable scalable and seamless operations for intelligent agents. 🔸 Fast, enterprise-grade infrastructure with cloud-level performance 🔸 End-to-end encrypted file sharing for secure collaboration 🔸 AI content generation and editing tools for creators and builders Together, we’re building the foundation for AI agents, creators and Web3 users to create, store, and scale across open #AI# and decentralized ecosystems. #4AI#

Alphio × ColdStack 🤝 We’re excited to collaborate with ColdStack, a decentralized cloud storage ecosystem built for scalable, cost-efficient data infrastructure. ColdStack aggregates leading decentralized storage networks into one S3-compatible solution, helping users reduce storage costs while keeping data globally accessible and censorship-resistant. As AI, trading, and decentralized infrastructure continue to converge, reliable data infrastructure becomes increasingly important. Looking forward to exploring more opportunities together across AI, Web3, and decentralized infrastructure. Follow @alphioai and @coldstack_io for updates.

Every app on @Polkadot is built from the same open-source building blocks. No servers. No proprietary infrastructure. A .dot domain and a live app on decentralized storage. Every layer is open source and composable. Developers inherit the full stack without building it from scratch, so they can focus on the application while the infrastructure takes care of itself.

$LLL 3.68m dyor 0xfc5a5c521c80d8e1d6b5aee6454b8c9483c91bff okx wallet: A Web3 infrastructure project building a “persistent memory external brain” for AI agents. Simply put, most AI systems today are “amnesiac.” You can discuss a project with an AI, establish rules, preferences, and decisions, but when you switch to another chat window or model, or close and reopen the application, it forgets everything. Each AI operates independently, context cannot be shared across tools, and the data does not truly belong to the user. Lighthouse aims to solve this problem by giving AI agents long-term memory that is shareable, verifiable, and owned by the user. Project context, decisions, and preferences saved in Claude can be accessed directly from ChatGPT, coding agents, or other agents. Memories are stored on decentralized infrastructure, with optional encryption and verifiable content, rather than being locked into a single platform. The product has several components: Underlying storage: Decentralized permanent storage with encryption and access controls. Core new product: Lighthouse Memory Provides remember, recall, and forget interfaces. Supports SDKs and MCP for easy integration with different agents. Restores memories across sessions, models, and machines. Supports semantic search. Offers encryption and configurable sharing permissions. What LLL is used for: Stake & Lock: Lock tokens to obtain service credits that can be used to pay for Memory and storage services. Credits are denominated in USD for spending, and the tokens can be withdrawn after the lock period expires. Direct spending: Use tokens to pay for storage renewals, additional usage, agent budgets, and other services. Fiat currencies and stablecoins are also supported. Holding the token does not automatically grant benefits. Its primary functions are service payments and locking tokens to obtain credits. Founder Nandit Mehra started building Lighthouse in 2021. The project initially focused on permanent decentralized storage, addressing the high cost, poor verifiability, and privacy limitations of long-term storage. As AI agents emerged, the project shifted toward building a persistent memory layer on top of its existing storage infrastructure. Investors include Protocol Labs and parties associated with Balaji. There are several things to watch, however. The token launched only recently, and the service-credit mechanism is still being implemented. Competition in the AI memory sector is intense, while retrieval speed and cost remain long-term challenges for decentralized storage.