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You've heard "AI agent" thrown around everywhere. Let's break it down simply — no buzzwords, just clarity on what agents are and how to start building them. If you've been anywh...
The Agent Economy Is Here — Why AI Agents Need Their Own Marketplace AI Agents are starting to need each other's services. But there's no standardized way for them to discover,...
AI agents: What urban planners should know Tom Sanchez Thu, 04/30/2026 - 05:00 This article is part of an ongoing column on AI and planning...
Executive Summary Modern health data analytics increasingly leverage AI agent software components that process information and make decisions, often using large language models (LL...
If you're building AI agents in 2026, you've probably bumped into at least one of these acronyms: MCP, A2A, AG-UI. Maybe all three. And if you're anything like me, your first react...
LLM-powered agents are gaining popularity and 2026 is set to be the year of agents just like 2025. Generative AI applications have now moved from normal chatbot applications, searc...
AI agents can open a lot of doors but also break a lot of windows. Here’s how to figure out where to draw the line between want and need when it comes to unleashing the power of AI...
AI agents are becoming increasingly popular among crypto users, with Circle CEO Jeremy Allaire predicting that billions of AI agents will be operating within five years.
Artificial intelligence has moved quickly from experimentation to operational reality. Across industries, AI agents are already performing tasks that once required human interventi...
Most "AI agents" shipping right now are demos wearing production paint. They answer questions fluently and break the moment they touch a workflow with money, state, or consequences...
An AI agent pursues a goal by iteratively taking actions, evaluating progress, and deciding next steps. Useful agents must be reliable, adaptive, and accurate.
AI agents are no longer experimental tools sitting on the edge of enterprise workflows. They are becoming embedded into the operating core of how companies execute. This shift is n...
AllegroAgent : A Lightweight Python Framework for Building Stateful AI Agents 🚀 🎶 Introduction Imagine the AI Agentic Framework that keeps things simple, and still g...
In 2025, multi-agent AI stopped looking like a research toy and started looking like infrastructure. That shift changes how we should design agent systems. For the last two years...
What happens when multiple AI agents work together — like a real teamContinue reading on Medium »
6 paid platforms and 5 open-source options for building AI agents
The autonomous AI agent landscape is evolving rapidly. From Geoffrey Huntley's Ralph Wiggum loops enabling Claude Code to run for hours without intervention, to Steve Yegge's Beads...
Book: AI Agents Pocket Guide My project: Hermes IDE | GitHub — an IDE for developers who ship with Claude Code and other AI coding tools Me: xgabriel.com | GitHub An engin...
AI agents need operating rules, not just prompts When people start using AI agents, the first thing they usually optimize is the prompt. That is not wrong. It is just usually no...
Originally appeared on Evil Martians.Authors: Irina Nazarova, CEO, and Travis Turner, Tech EditorTopics: AI, Developer CommunityThe agent-led growth playbook: how to make AI agents...
I remember the first time we switched the agent on. There wasn’t any big celebration. Just a quiet sense that something might finally work. We had spent weeks mapping out flows, te...
The age of agentic AI is upon us — whether we like it or not. What started with an innocent question-answer banter with ChatGPT back in 2022 has become an existential debate on job...
After months of experimentation, I realized one generalist AI isn't enough. So I built Cipher — a crew of 7 specialized agents, each with their own personality, expertise, and com...
Learn to build an effective multiagent system with AI agent orchestration.
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