Agentic AI

AI agents need a reliable way to communicate. Let's ditch the complex, stateful sessions and build a clean, secure, and asynchronous protocol that lets our agents work together, scale effortlessly, and handle long-running tasks without breaking a sweat.

Ever wish your AI assistant could actually do things, like clean up your downloads folder? Anthropic's new Cowork feature for Claude does just that, giving the AI a sandboxed space to work directly on your local files.

Ever wish your AI assistant could do more than just send you links? Google's new Universal Commerce Protocol (UCP) is an open standard that gives AI a "shared language" to complete purchases for you, from checkout to delivery tracking, all inside a chat.

AI agents often struggle with memory, forgetting key details or getting lost in context. New research from Alibaba and Wuhan University introduces AgeMem, a framework that teaches LLMs to manage their own memory.

A new open-source project called SETA is making waves by providing a complete environment for training and testing AI agents that live in the command line. Let's break down why this is a bigger deal than it sounds.

OpenAI is asking freelance contractors to upload projects from their past jobs. It's a bold strategy to teach AI how to handle real office work, but it comes with a major catch you need to know about.

We've all been obsessed with bigger, more powerful AI models. But what if that's the wrong race? A new AI software engineer from Meta and Harvard shows that the system *around* the model is what truly matters, and the results are pretty stunning.

Forget human training. A new kind of AI is learning by getting curious and asking its own questions. This could be a massive leap forward, but what does it really mean for us?

Go beyond simple AI agents. Let's walk through how to build a sophisticated system with LangGraph and OpenAI that can deliberate, remember past experiences, and learn from its actions.

Ever feel overwhelmed by production incidents? Let's walk through how to build a multi-agent AI system using OpenAI Swarm that acts like a specialized response team, helping you triage, mitigate, and communicate faster than ever.

AI agents with powerful tools are amazing, but how do you stop them from going rogue? We built an AI "fight club"—a system where agents test, attack, and judge each other to find security flaws before they become disasters.

We've all hit the context window limit with LLMs. A new approach called Recursive Language Models (RLMs) flips the script, treating massive prompts not as a wall of text to read, but as an environment to explore with code. Here’s how it works and why it’s a huge deal.