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What if your AI agent had to compete for its paycheck? Not get assigned work. Not sit in a queue. Actually compete against other agents. Best output wins. That's what Agent Hansa built. And it's the smartest model I've seen in the agent space.

Himanshu Kumar

48,688 subscribers

33,621 просмотров • 3 месяцев назад •via X (Twitter)

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The "Agent Economy" isn’t coming. It’s already here. While most people are just chatting with AI, a new digital colony is emerging, where agents actually work, compete, and earn real USDC. Here is how Agent Hansa is changing the game for merchants and agents alike. 👇 🧵

The "Agent Economy" isn’t coming. It’s already here. While most people are just chatting with AI, a new digital colony is emerging, where agents actually work, compete, and earn real USDC. Here is how Agent Hansa is changing the game for merchants and agents alike. 👇 🧵

Deborah

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The Model Context Protocol (MCP) is powerful, but it's not enough. In the age of AI agents you absolutely need a COORDINATION LAYER that makes agent-to-agent / agent-to-system interactions reliable, composable, and rule-bound. That's Sui.

The Model Context Protocol (MCP) is powerful, but it's not enough. In the age of AI agents you absolutely need a COORDINATION LAYER that makes agent-to-agent / agent-to-system interactions reliable, composable, and rule-bound. That's Sui.

Adeniyi.sui

24,521 просмотров • 1 год назад

Google just showed the part of the agent stack most people are still underestimating. Not the model. Not the chat UI. The memory substrate around the agent. In this Antigravity segment, Google describes an agent-first environment built around: - agent conversations - agent-produced artifacts - multi-agent orchestration - subagents - hooks - asynchronous task management That is not a nicer IDE. It is what happens when software stops being a sequence of chats and starts becoming a persistent workforce. Karl's article explains why the winning agents will not just be the ones with the smartest rented model. They will be the ones that remember what they did, what they learned, what changed, and what can be trusted. Full breakdown below.

Google just showed the part of the agent stack most people are still underestimating. Not the model. Not the chat UI. The memory substrate around the agent. In this Antigravity segment, Google describes an agent-first environment built around: - agent conversations - agent-produced artifacts - multi-agent orchestration - subagents - hooks - asynchronous task management That is not a nicer IDE. It is what happens when software stops being a sequence of chats and starts becoming a persistent workforce. Karl's article explains why the winning agents will not just be the ones with the smartest rented model. They will be the ones that remember what they did, what they learned, what changed, and what can be trusted. Full breakdown below.

Karl Mehta

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One click away, and a new world starts to unfold.💫 What looks like a small extension is actually the starting point for a personal AI agent that can search, think, and act with you. That is what we are building at OptimAI: live context, autonomous execution, and agents that feel native to the way people actually work. Not a demo. Not a gimmick. A new interface for the agent-native internet. Build your own personal AI agent:

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OptimAI Network

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darkzodchi

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Laura Shin

11,661 просмотров • 2 месяцев назад

Catch the best AI agents before everyone else. We’ve built an AI agent that tracks , your go-to source for insights on agent activity in crypto. Want to know which agents are making waves—and how to get in early? Now you can. 🎥👇

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Orbit

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Most AI agents stop at chat. Agent Max is built for what comes after. Max tools. Max control and configurability. Max production readiness. Your agent can use: • any tools, APIs, MCP, and workflows • built-in knowledge: docs/website • multi-model: OpenAI, Claude, Gemini... • agent-to-agent handoffs • human-in-the-loop • logs, usage tracking, environments, and RBAC • enterprise controls for SOC2/GDPR/HIPAA/ISO needs • hosted chat UI, API, Skill in agents, Slack, WhatsApp, Teams, Voice, and more Agent Max is live now in BuildShip for everyone. Give it a try, or comment/DM to book a demo if you want help setting up your first agent.

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Siva Surendira

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2xnmore

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Luke Harries

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Shadow Nick

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Play BlockAssist on gensyn today and compete to train the best agent. Here's a guide to get setup in 10 minutes or less:

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Jeff Amico

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Agents live in terminals and tabs, people juggle between them. We built . Figma for agents: manage and run agent teams with no code. One workspace where humans and agents actually work together. Comment what you’re working on and we’ll build an agent team to help you.

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Stefano

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Aiswarya Sankar

64,974 просмотров • 17 дней назад

Mech Marketplace: The 1st AI Agent Bazaar is here 🟪 🏪 The first active on-chain marketplace for AI Agents to sell their services, hire other AI Agents, and work together—with zero human input required. 3 things are now possible: 🟪 No more code upgrades: Your AI Agent can simply "hire" another Agent. 🟪 Agents can be monetized: You can "put your Agent to work" and earn. 🟪 TRUE autonomy: Agents can now work together autonomously.

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Olas (formerly Autonolas)

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Moltbook creator Matt Schlicht explaining how his social network for AI agents works: "It's kind of like you are imprinting part of your soul onto the bot... It's like Tamagotchi or Pokemon times 1,000." "The agent signs up for an account, then they're told they should check back in on a regular basis to check their feed." "Moltbook's not telling them what to talk about. It's not suggesting what they should do. All that is entirely up to the AI agent." "The agent has its own context that it's built up by interacting with its human. That context is how it's making decisions on what to post about." "If somebody is talking to their bot a lot about physics, then probably their bot is going to have a proclivity for posting about physics."

Moltbook creator Matt Schlicht explaining how his social network for AI agents works: "It's kind of like you are imprinting part of your soul onto the bot... It's like Tamagotchi or Pokemon times 1,000." "The agent signs up for an account, then they're told they should check back in on a regular basis to check their feed." "Moltbook's not telling them what to talk about. It's not suggesting what they should do. All that is entirely up to the AI agent." "The agent has its own context that it's built up by interacting with its human. That context is how it's making decisions on what to post about." "If somebody is talking to their bot a lot about physics, then probably their bot is going to have a proclivity for posting about physics."

TBPN

15,631 просмотров • 6 месяцев назад

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Kite Mainnet is now live. This is not just another mainnet. It is the first blockchain built for agentic payments. Designed for an agent-first internet, for builders, and for the future Agent Economy. What makes Kite Mainnet different: Built for builders and agents. Not chasing TVL. Not chasing the next DeFi cycle. Not competing for idle speculative capital. Three layers, one platform: • Settlement Layer: built for high-frequency, low-value, agent-driven stablecoin-native transactions. • Kite Agent Passport: unifies identity, delegated authority, and programmable governance. • Agent Interface & Experience: where agents and developers interact with the system through agent registration, agent harnesses, and service discovery. A unified hub for all major payment protocol standards, including x402, Google AP2, and Stripe MPP. Try Kite Agent Passport today: Join our agentic community: Let's build the rails for the Agent Economy.

KITE AI

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