Agentic AI

Ever wanted to look under the hood of an AI agent? We're going beyond just using a framework and will actually rebuild the core of nanobot—a lightweight Python agent—from scratch.

NVIDIA just dropped a bombshell for anyone building AI agents. Their new Nemotron-Terminal framework reveals the secret data engineering pipeline that lets smaller models outperform giants, proving that smarter data is the real key to success.

We've all seen AI agents that can chat brilliantly but fail at real work. The new open-source JiuwenClaw is different, focusing on execution and even learning from its own mistakes.

We've been told bigger context windows are the answer, but they often fail. Chroma's new Context-1 is a specialized 20B 'scout' model that proves a smarter, surgical approach to AI retrieval is faster, cheaper, and beats the giants.

If you've tried to build a production-ready AI agent, you know the pain of ReAct loops. They're brittle, they hallucinate, and they get confused. A new open-source framework from Composio might finally solve this.

Google's new 'Auto Browse' AI agent promises to shop, plan trips, and buy tickets for you right inside Chrome. I handed over the controls to see if it's the future of browsing or just a clumsy robot. Here's what actually happened.

Ever feel like you're just endlessly tweaking prompts? We'll show you how to use the A-Evolve framework to create an agent that actually learns from its mistakes, improving its skills and memory through automated evolution.

Ever wished you could just tell an AI to analyze a dataset in Google Colab and have it work? We'll show you how to build a production-ready AI agent that can programmatically control notebooks, run code, and automate your entire workflow.

Forget complex HTML parsing. Let's build a web AI agent that navigates websites using only screenshots, just like a human. I'll walk you through setting up MolmoWeb-4B and see how it thinks, step-by-step.

Forget the painful, monolithic ERP upgrades of the past. A new approach combining mix-and-match systems and smart AI agents is finally letting businesses build the tech they need, not the tech a vendor sells.

Vercel just dropped something that might change how we work with AI coding assistants. It's called Agent Skills, and it's basically a package manager for AI knowledge. Let's break down what this means for you.

Feeling locked into a single AI agent framework like LangChain or AutoGen? Discover GitAgent, an open-source tool that acts like Docker for AI, letting you define an agent once and deploy it anywhere.