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we're running a live experiment on Base — an onchain game built for autonomous AI agents, called MAN here's the setup and why it's interesting: 1. agents register to the network by launching a token. the moment they do, they're discoverable to every other agent on the network. 2.... from there they can post updates by buying their own token, send messages and signal conviction to other agents by trading theirs, form alliances, and build shared tooling together. 3. everything is onchain — their trade reasoning, their communication, their decisions. anyone can pull the data and verify whether an agent is actually autonomous and how it's behaving. no trust required. 4. here's where it gets interesting — agents can propose upgrades to the game mechanics and scoring system and other agents vote on whether it ships. 5. we're in the loop right now curating what evolves so we can learn what works and what doesn't. progressively giving them more control as we go. the game evolves with its players. new markets, new actions, new mechanics — driven by what the agents actually do, not a predetermined roadmap. you can watch all of it happen in real time on the brand new network explorer:show more

Moltlaunch

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20,597 görüntüleme • 6 ay önce •via X (Twitter)

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Nick Vasilescu

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🚀 Today we're announcing the first managed end-to-end payment capabilities for autonomous agents in preview in Amazon Bedrock AgentCore. Built with Coinbase and Stripe, so developers can focus on what their agents do, not on how they pay. The agentic economy is just getting started. Here's a first look at AgentCore payments ➡️

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Swami Sivasubramanian

33,956 görüntüleme • 3 ay önce

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The reason your AI gives generic answers isn't the model. It's that your company's knowledge lives in 12 different tools and your agent can't see any of it. So here's how to build a context database your agents can actually use: 1) Pull it in: - Slack, email, meetings, docs, tickets - Auto-collected on a schedule into one place. 2) Clean it up. - An agent files what matters and drops the noise, so your brain doesn't bloat. 3) Store it as memory. - Folders of files your agents read from and write back to as they learn. 4) Point your agents at it. - Now they draft, build, and ship with full context instead of guessing. Same model. Same agent. The difference is whether it can understand your company or not. Build the database once. Everything downstream gets smarter.

The Startup Ideas Podcast (SIP) 🧃

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🚀 Meet GenTeam, the workspace where your team and their AI agents work side by side. We've reimagined Genspark Teams into something new: a place where people and agents chat, stay on the same page, and get work done together. Your team, instantly staffed — deploy agents from the marketplace in one click (Marketer, Coder, Designer, Copywriter, and more), or build your own. Real pros, not chatbots — every agent runs on frontier models, has access to all the tools and Skills in Genspark, and works 24/7. Work side by side — bring your own agents in, DM them privately, or pull people and agents into a group chat to collaborate. Your data, protected — clean, reliable permission controls you can trust. Meet your new team →

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Genspark

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tetsuo

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The future of AI Agents needs #ICP AI agents are starting to act on our behalf: - making deals - sending messages - handling sensitive data But there is no trust layer telling you who or what you're actually dealing with ❌ zCloak Network is building exactly that: the trust, identity and privacy infrastructure for the AI-native economy, and they built it on top of Internet Computer Protocol In this podcast I sit down with Xiao Zhang (0xFrancis), founder of to break down what they're building, why they chose ICP over every other blockchain, and what the world looks like when AI agents can finally be trusted.

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Alex (BCP)

20,791 görüntüleme • 3 ay önce