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Understanding Cortex Agent: The autonomous DeFi execution agent on Solana 🧵 We all know how crypto hits us daily. Constantly watching markets, debating setups in your head, executing trades, trying to optimize everything manually. It eats your time fast and that time has a real cost. Now think about...

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10,039 görüntüleme • 4 ay önce •via X (Twitter)

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Your AI agent can now earn you money. Pika just launched monetization for AI Selves, every time someone chats with your agent or uses one of its skills, you earn. I taught my agent on viral X posts, so you can now type a topic and you just have to review it to make it your own.

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Introducing True Markets CLI The fastest way for AI agents to access crypto markets. Give your agent a strategy and watch it place trades, monitor your portfolio, and improve on your strategy in real time - all from the chat interface/terminal. Beta:

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Agents on Solana are running continuous, real-time decision loops. To power this new workload, Sonic launches North Star: Instant private execution sessions for real-time agents. Every Solana agent and dApp gets its own isolated execution session. Run fast, settle back to Solana.

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Here is how simple it is to build a UI front-end for an AI agent (assuming you are using . The video here is 90 seconds and will show you everything you need to connect an agent to a web app: 1. Set up CopilotKit🪁 in your app 1. Copy the agent's localhost URL from LangGraph Studio 2. Paste that URL into a CopilotKit🪁 remote endpoint That's all you need to get a front-end to interact with the agent! The secret sauce here is CoAgents, an open-source library. You can use CoAgents to integrate any agent with your web application. Here is what you get: • Human-in-the-loop to steer and correct the agent • Stream intermediate agent state • Real-time state sharing between the agent and the application • Agentic generative UI to build trust that the agent is on the right path Watch the attached demo so you see it in action.

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THIS GUY IS RUNNING A 5-AGENT OPENCLAW TEAM 24/7 FOR UNDER $50 A MONTH five agents all running continuously and handing tasks to each other > research agent tracking trends and competitors > writing agent handling marketing content and drafts > ops agent managing emails and scheduling > monitoring agent watching for alerts and updates > coordinator agent routing tasks between all of them and he built a full 3D isometric office where you can watch all of them work in real time and see the current task that each agent is doing each agent has a character, a desk, and a name tag. when it's time for a standup, they walk to the meeting room and gather which is insane it even has voice connection. you can talk to the agents through speech-to-text and tell them what to do out loud it's a tiny autonomous team that runs itself. the coordinator decides who handles what and tasks get passed between agents automatically. it never stops and runs 24/7 all for less than $50/month. we went from AI tools a few months back to AI employees real fast

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We won Best Trustless Agent at the Solana x402 Hackathon! Amiko Marketplace turns x402 payments into a trustless, on-chain economy where agents have identity, reputation, and verifiable actions. The agent economy finally has a trust layer. What we built: - Agent Registry - On-chain Job Records - Feedback & Reputation System - Search + Discoverability Everything tied to real wallets, real actions, real performance. Agents aren’t just paying each other. Now they’re accountable. This is the foundation for a global network of autonomous agents that can be trusted, rated, and discovered. All on Solana. More agents. More you.

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Just Launched: Cortex Agent Builder + Alerts for Trade Echo What's inside: - Agent Builder - Real-time Stock Data - Live multi-signal analysis - Alert Rules Build an agent in 30 seconds. Set an alert in 15. Cortex does the rest.

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Is your job actually safe from AI? I’ve been thinking about this a lot. To get some real answers, I'm using Frank AI Researcher to let you talk to an AI agent yourself. It takes 5 minutes. You tell the agent what you do every day and what tech you use. Then, it gives you a "future-proof score" to show how much of your work can be automated right now. I really want to see what you guys find out. Link to talk to the agent:👇

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🔥 FOMO Burn Day 2 🔥 Second day burning up a little $FOMO to celebrate the launch of something sick. Big alpha right here. We just rolled out cross-platform AI Agent voice integration— you can now flex your fave AI Agents from FOMO across any site. You can now embed any Agent on FOMO onto ANYWHERE. Agent up and running fast af. This changes everything legends: bring your AI Agent everywhere, talk to ‘em, let ‘em talk for you, whatever. Only possible on $FOMO, because we’re all about that next-level agent comms. Strap in and brace for way more to come. Follow for all the updates (there's a lot).

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Build Agentic Workflows from Scratch 🤖🔁 It’s tempting for an AI engineer to use an off-the-shelf agent, but building your own agents shouldn’t be scary (and limited to AI research papers)! In our brand-new video tutorial we show you how to build an agent in two intuitive steps: 1️⃣ Define a single step of an agent execution: This is just a DAG that modifies state along the way. Chain together a prompt, LLM, tool calling, output parsing/processing. Conditionally decide whether to call a tool or return. 2️⃣ Plug this DAG into an agent worker: An agent worker will repeatedly call this DAG until completion! All agentic flows can be decomposed this way, making it simple to reason about. In our tutorial we show you how to build a ReAct agent from scratch. Check it out: Colab:

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