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4 core ways multi-agent AI systems are designed. I’ve explained each one in simple steps below. 1. 𝗣𝗮𝗿𝗮𝗹𝗹𝗲𝗹 𝗣𝗮𝘁𝘁𝗲𝗿𝗻 (𝘚𝘵𝘦𝘱-𝘣𝘺-𝘴𝘵𝘦𝘱) • One input (task) comes in. • The task is 𝘀𝗽𝗹𝗶𝘁 𝗶𝗻𝘁𝗼 𝗽𝗮𝗿𝘁𝘀. • Multiple AI age

AI Agents now have muscle memory. This Python SDK records agent tool-calling patterns, replays them for repeated tasks, and falls back to agent mode for edge cases. 100% Opensource. Read more here: https://www.theunwindai.com/p/muscle-memory-for-a

6 design patterns used in AI agents. I've broken down each in simple steps. 1. 𝗦𝗲𝗾𝘂𝗲𝗻𝘁𝗶𝗮𝗹 (𝗕𝗹𝘂𝗲) • 𝗛𝗼𝘄 𝗶𝘁 𝘄𝗼𝗿𝗸𝘀: The query moves through agents one after the other. • 𝗘𝘅𝗮𝗺𝗽𝗹𝗲: You ask a question → First agent processe

The Missing Piece in AI Agent Ecosystems: An Agent Search Engine & Centralized Registry The A2A (Agent2Agent) protocol, introduced by Google Cloud, is a significant step forward. It standardizes how agents communicate, enabling them to securely exch

⚡ AI Agent – the new buzz word ⚡ AI Agent is being talked about across organisations. Let me answer some common questions: ❓ What are AI Agents? Think of them as personal assistants that automate your repetitive tasks. E.g., A sports influencer can

We are heading towards a world where everyone will become their own boss with AI agents and the Agents will handle the tasks ? Anyone here expert int hat Agentic things ??

🚨 BREAKING: Anthropic just dropped the tutorial on "Building AI Agents with Claude Agent SDK" Here's what it covers: > Agent Loop Gather context → Take action → Verify work → Repeat. Your agent searches files, executes tasks, checks its output, t

📢 Exciting news for gamers! Microsoft has launched the "Support Virtual Agent" for Xbox, a groundbreaking AI-driven chatbot that redefines player support. Now, resolving gaming issues is just a chat away, directly from your console or app. This inno

Dharmesh is the founder of Agent AI that is just like a marketplace or you can say linkedin for AI agents check it out !