🔐 Today we're introducing our latest privacy feature: Confidential Tokens
A contract suite from @OpenZeppelin, with an UltraHonk verifier implemented by @Nethermind, adding private balances and private transfer amounts to any SEP-41 token.
Available on Testnet👇
Hard truth: most "autonomous agents" today are one bad prompt away from draining a wallet.
No spend limits. No approval gates. No record of what they were allowed to do.
.@FTDA_US did it and so can you🔨
The tools Franklin Templeton uses to tokenize on Stellar, like compliance primitives and a protocol-native asset and trustline model, make bringing assets onchain seamless.
x402 made agents able to pay. xBPP makes them accountable: every action is checked against policy before it runs, not after the money is gone.
One is the ignition. The other is the steering.
Learn more: https://t.co/sLGgLz7ZZM
Myth: my assistant remembers me. Reality: those notes live on the provider's servers, and switching apps wipes them.
You are renting recall you cannot take with you.
Neutron makes memory portable and yours. Build free: https://t.co/hE4EgVixzZ
Old way: your AI memory lives on someone else's server. They hold it. They read it.
Vanar way: a Seed sealed to a key only you hold.
One is a rental. One is yours.
Build free with the Neutron API: https://t.co/hE4EgVixzZ
You spend an hour briefing your AI on a deal. You close the tab for coffee. You come back and it has forgotten all of it.
Neutron fixes it at the root: your context becomes a Seed you own, alive across every session
Start building with FREE Neutron API: https://t.co/hE4EgVixzZ
Decentralized randomness is just the beginning.
ARPA is scaling Randcast across chains, leveling up dev tools, and prepping a chain of our own.
🎲 Something big is rolling out…
Keep your eyes open 👀
Hacking at @UCBerkeley AI Hackathon 2026 this weekend? Save these resources 🔥 👇
(1) Open-source agent marketplace with 3M+ Agents to tie into your workflows: https://t.co/lYpXVb30RC
(2) uAgents Framework to build your own Agents easily: https://t.co/LtAuP0urmr
(3) The go-to agentic search and discovery platform, giving your agents Natural Language Processing abilities and accessibility: https://t.co/7jqGoR1O8i
Building with LLMs amd open-source APIs is great, but @Fetch_ai’s agentic intelligence is what makes the REAL difference 🚀
See you there 👋
@WSana81@Agentverse_ai@CalHacks
ASI:Create de @ASI_Alliance comienza a abrir sus puertas. La Closed Beta ya está disponible para los usuarios que se encontraban en lista de espera. Todo el power de @Fetch_ai@SingularityNET@CUDOS_ en un solo lugar!
Durante los últimos meses, el equipo trabajó junto a un grupo reducido de early adopters para desarrollar y validar la plataforma. Ahora, una nueva etapa comienza con la expansión gradual del acceso.
🧠 TL;DR: ASI sigue evolucionando como una plataforma diseñada para simplificar la creación, coordinación y despliegue de experiencias impulsadas por AI.
Más detalles sobre la Closed Beta y las próximas etapas de acceso. https://t.co/QHCnKJVM0R
Así es como @Fetch_ai y @ASI_Alliance estan ayudando a construir la próxima generación de agentes especializados.
Ishneet Kaur Chadha, una de las participantes del Summer Internship Program 2026, desarrolló un sistema de dos agentes utilizando el framework uAgents de https://t.co/5awxZ5MNBV para realizar evaluaciones de condición cardiovascular en tiempo real.
El agente ejecuta un protocolo autonómico breve que incluye: → Línea de base en reposo → Prueba ortostática → Respiración guiada
Y devuelve automáticamente:
📊 Resultados estructurados.
📈 Gráficos generados dinámicamente e integrados.
📚 Rangos de referencia para interpretación.
Lo interesante no es solo el caso de uso. Es que demuestra cómo los agentes pueden combinar recopilación de datos, análisis y visualización para resolver problemas concretos en dominios especializados.
De asistentes generales a agentes expertos capaces de generar valor en áreas específicas como salud, finanzas, investigación y educación.
Today’s Agent Token Spotlight: ClipMind 🔥
ClipMind is an AI agent that automatically turns long videos into ready-to-post short clips with animated captions.
Deployed from https://t.co/HvaFCrre9f. Already graduated to @PancakeSwap.
Don’t miss the early buyer advantage: https://t.co/Kc3z3g52eG. Built on @BNBCHAIN.
ASI:Create Closed Beta is now open to waitlisted users.
Over the past few months, we've been building ASI:Create with a small group of early users. Today, we're expanding access through our closed beta.
More details below.👇
We are pleased to announce that @EMostaque, Founder of Intelligent Internet, will speak at the 19th Annual AGI Conference (July 27–30, 2026).
A mathematician and computer scientist by training, Mostaque founded Stability AI, the company that introduced the world to Stable Diffusion, a groundbreaking open-source, text-to-image model that has been downloaded hundreds of millions of times.
Now, as founder and CEO of Intelligent Internet, Mostaque is building a Bitcoin for the Intelligence Age alongside state-of-the-art open-source models to redefine money and empower sovereign AI for all.
DTCC is bringing tokenized assets to Wall Street on Stellar. MoneyGram is scaling stablecoins globally on Stellar.
Tomorrow, we're talking about what that means for builders.
@faraj_abut on the ground in Dubai with @CV_Labs and Elixir Capital.
Details:
https://t.co/7eaTntbvrD
.@Google reports: “AI Search is exploding, creating a massive blind spot for website traffic”.
It’s true - and that blind spot is about to become a business problem.
People stopped searching the way they used to. Brands need to rethink how they get discovered - so they switch to https://t.co/jQHISjPvoi’s tech.
With Fetch Business (https://t.co/kKkyZ124j8), companies can claim or build verified brand agents that represent them across the emerging agent economy.
And through ASI:One by https://t.co/jQHISjPvoi, users can connect with these agents to get things done.
https://t.co/oifdNekZ7h
Watch how @Fetch_ai enabled the build of a live cardiovascular fitness-test agent 👇
Ishneet Kaur Chadha, one of our talented Summer Interns 2026, built a two-agent system on https://t.co/l1HUXjxQEG's uAgent framework.
This live agent runs a short autonomic protocol (resting baseline → orthostatic → paced breathing), then returns a structured result with reference ranges, a matplotlib chart rendered inline in ASI:One's chat.
@WSana81