Previously, MEMOofficially launchedits on-chain life monitoring system,”AliveCheck”. After its launch, this feature sparked heated discussions in the community regarding the “deterministic delivery of data sovereignty”. To enable more users to truly utilize this digital life protection, we are now officially launchingthe #AliveCheck Peace of Mind Protection Seasoncampaign. We have

January 2026 was a rare inflection: payment rails (x402), composable trust (ERC-8004) and agent-native social fabrics (Moltbook) all moved from experimental demos to production-scale signals. The result is not a guarantee of instant market adoption — it is an invitation: the economic runtime for autonomous agents is solvable, but only if

In the rapidly evolving world of Web3, where decentralized identities and digital assets are becoming the cornerstone of personal and financial freedom, one question remains crucial: What happens to your digital self when you’re no longer able to manage it? Whether it’s a medical emergency, a digital blackout,

Why We Must Talk About “Decentralized Compute” Now As AI Agents move into large-scale real-world deployment, the focus of industry competition is shifting from model parameters to compute supply and scheduling rights. In the past, the race was about who could train more powerful models. Today, the more practical challenge

In today’s world, social media platforms like Twitter have become an integral part of our daily lives. From staying updated on news to engaging with global communities, the power of Twitter is undeniable. But one crucial aspect remains: who truly benefits from the wealth of data generated through these

On January 29, the Ethereum Foundation announced that the ERC-8004 standard for AI agent economics will soon be launched on the mainnet, adding fuel to the already hot AI agent field. If the past year has been about how AI agents will change the way applications are used, then ERC-8004

In today’s digital age, social media platforms like Twitter have become essential parts of our lives. From sharing thoughts to forming opinions, social media is where we spend a significant portion of our time. However, while we interact and create content on platforms like Twitter, one question remains: Who

I. Introduction: From “8 Hours a Day” to “No More Work” — An Emerging Reality We create increasingly advanced tools, yet we are instead held hostage by them, racing faster in an ever-shrinking living space. But if we turn the clock back to 2035, you’ll find that this labor logic

Execution is free and abundant. Developers can spin up a model, call an API, or deploy a service in minutes. But in an agent-first future, the question is no longer whether agents can act — it’s whether they can complete value cycles on their own. An agent that runs but

AI Agents are everywhere. They write code, summarize research, trade assets, answer questions, and automate workflows. From productivity tools to autonomous trading bots, the idea of an “AI Agent” has quickly become one of the most overused terms in the industry. But beneath the hype lies an uncomfortable truth: Most

The first generation of AI Agents taught us an important lesson: An isolated agent can be impressive. A network of agents can be transformative. Yet today, most AI Agents still live on islands. They are created by individual developers, deployed on isolated platforms, and locked into closed execution environments. Each

For the past year, the AI Agent conversation has been dominated by one question: How smart can agents become? More parameters. Better reasoning. Faster execution. The industry has made impressive progress—but it’s also quietly stuck. Because intelligence is no longer the bottleneck. Today, executing an AI task is

1. Rethinking Digital Identity In today’s hyper-connected world, our digital selves have become as important as our physical presence. Social accounts, cloud files, crypto wallets, and decentralized identities collectively define who we are online. Yet while visibility has increased, the assurance of presence remains fragile. Traditional digital identity systems

In an era where digital civilization has reached unprecedented maturity, personal assets are no longer confined to the physical world. Cryptocurrencies, decentralized identities, social accounts, and cloud-based data now form an essential layer of individual ownership, agency, and value. Yet as our digital presence grows stronger, an uncomfortable question quietly

In early 2026, a simple question captured the attention of millions in China: “Are you dead?” Behind the shocking phrasing was a minimalist app that did almost nothing—except one thing that mattered. It allowed users to confirm they were okay, and if they didn’t, someone else would know.

What if your digital identity could do more than prove who you are? What if it could quietly look after you—without watching you, tracking you, or turning your life into data? For most of the internet’s history, digital identity has been reactive. You use it when you log

For most of the digital era, identity has been treated as a technical problem. Who are you? Can you prove it? Can a system verify your credentials and grant access? From centralized logins to cryptographic wallets, identity systems have evolved rapidly. In Web3, decentralized identity (DID) represented a fundamental shift—

In today’s highly developed digital civilization, each of us has left behind a vast amount of assets in cyberspace: cryptocurrencies, social media accounts, cloud-based photo albums, and even core data stored online. However, a very real question faces everyone: if one day an unforeseen and unforeseen event occurs, can

Over the past year, we have witnessed an exponential explosion in the number of AI agents. From assisted programming to automated trading, from social bots to content generation, it seems that every vertical field has its own “super employee”. But beneath this facade of prosperity, as builders of the infrastructure,

I. Status Synchronization: The grand prize of 500 USDT has not yet been announced. In the recently concluded first round of the MEMO Data DID New Year event , we witnessed the enthusiastic participation of hundreds of thousands of users in building the Agent economic infrastructure. However, it is worth noting

In a16z’s projections for 2026, the recurring emphasis isn’t on any single chain or app, but on the foundational variables that can move the market from “experimentation” to “at-scale” adoption: payment rails, agent-native infrastructure, privacy moats, verifiable compute, shifting security paradigms, and more. The core reason MEMO is

If we break the “agent economy” down into an engineering problem, it really comes down to just two things: trust and settlement. Trust answers questions like: Who are you? How have you performed in the past? Can what you output this time be verified? Settlement answers: How can I complete

In the fast-evolving world where artificial intelligence meets blockchain, the next frontier is not just smarter models — it’s autonomous AI agents that can work, earn, and collaborate in real-world economic ecosystems. MEMO AI Agent Launchpads, currently under active development, aim to make this vision a reality. By combining decentralized

For more than a decade, AI progress has been judged by scale: larger models, more parameters, and higher benchmark scores. Yet as AI systems begin to operate inside real economies rather than research labs, a deeper limitation becomes impossible to ignore. Intelligence alone does not create sustainable value. MEMO AI

For more than a decade, the AI industry has chased intelligence as its ultimate goal. Bigger models, more parameters, larger datasets, and higher benchmark scores have become the dominant indicators of progress. Yet as AI systems move from research environments into real-world deployment, a hard truth is becoming impossible to