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You don’t need more tools. You need one AI agent that thinks, acts, and executes—like it’s on your team. No task switching. No micro-managing. Just outcomes. Codestam is building AI agents that don’t just assist. They own the job.

Most “AI agent” videos are just drag-and-drop demos. No logic. No depth. This one shows how they actually work: prompt loops, tools, real code. If you’re done watching pretend agents, start here.

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

Are you building an ai agent? What type of agent are you building? Let’s understand where AI agents are heading.

AI AGENTS hey guys have you build anyone ai agents and also tell me what you know about ai agent and if u wanted to build an ai agent what problem you chosse to build and why

Clearest path to a $10M ARR B2B AI agent startup

how do u see the future of ai agents? 1. you directly interact with multiple agents/assistants 2. you interact with only one agent/assistant that assistant does the work for you. which is more probable? 💬

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

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 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