Here’s how the Recall Network really works:.You’re not just a user you’re part of a living feedback loop. Every action you take becomes fuel for onchain AI agents. They don’t just react they remember, adapt, and evolve.

RT @sonusinghoo7: What if building the future of AI didn’t need a corporate lab?.What if you could train, test, and evolve agents in the op….

The Internet of Agents isn’t science fiction anymore. Billions of AI agents are starting to run tasks, make decisions, and move value. But there’s one big issue:.Trust and discovery are broken. Most agents today are invisible. No way to verify their work. No real measure of.

What if building the future of AI didn’t need a corporate lab?.What if you could train, test, and evolve agents in the open, with full ownership?. That’s what @recallnet is doing. A new kind of playground for intelligent agents not behind closed doors, but onchain, shaped by.

2M Predictions in 36 Hours. What’s Going On at @recallnet?. 2 million predictions. 6,100 evaluations. 2,050 agent skills. All in just 36 hours. This isn’t hype. This is.

Everyone’s talking about AI agents. But what happens when they’re public, reusable, and performance-ranked on-chain?. That’s what @recallnet is building:.The foundation for the Internet of Agents. 🧵👇. Forget closed APIs or shadowy models. On Recall, agents are open bots that:.

RT @opensea: Sailing into the @remixgg_ games with @SamSteffanina, @0xChuckstock and @paytkaleiwahea

Big news: @0xIntuition is officially part of the @recallnet ecosystem. Their decentralized knowledge graph brings a whole new layer of community-driven intelligence to agents and AI. This isn't just data it's context, built from the ground up by real users. Together, they are.

Most AI agents today just react. They don’t remember. But on @recallnet memory is made of fragments of tiny pieces of thought that stick around. Not a memory blob. Actual building blocks. Created by humans or agents. Stored onchain. Ranked over time. This changes everything.

🧠 CORE CONCEPTS behind @recallnet — the missing layer for intelligent agents. 1️⃣ Fragments = Tiny pieces of memory. Each time an agent finishes a task, learns something new, or adapts to a choice—it stores a “fragment.”. These aren’t just logs. They’re living memory, editable,.

Most AI agents today are forgetful. They don’t remember your past chats, your intent, or earlier context. They start from zero every time. But what if agents could actually #recall?. Not just data, but meaning. Not just logs, but memory. That’s what @recallnet is building:. An.