Agentic AI

Ever watched an AI agent get lost on a multi-step task? LangChain's new Deep Agents framework is here to fix that. We break down how it gives agents planning, memory, and focus.

AI agents are powerful but forget everything after each task. I took OpenSpace for a spin to see how its self-evolving skills create an AI that actually learns, gets smarter, and saves a ton of money on tokens.

NVIDIA just dropped ProRL AGENT, a new infrastructure that solves a massive bottleneck in training AI agents. By cleverly separating tasks, they've nearly doubled the performance of some models. Here's how it works and why it matters.

Ever wanted to build your own team of AI agents that work together to solve complex problems? We'll break down the core concepts of multi-agent systems, inspired by ClawTeam, and show you how to build one from scratch using Python and OpenAI's API.

You've probably heard the buzz about new AI 'agents' that can actually do things for you. Well, it's causing a major stir in Silicon Valley, and even giants like Google are scrambling to reorganize their teams in response.

We're building AI agents with powerful system access, but new research shows they can be tricked into poisoning their own memory and skills. Let's break down these new threats and the five-layer defense designed to stop them.

AI coding assistants can feel like brilliant but chaotic interns. Garry Tan's new open-source tool, gstack, aims to fix that by giving Claude Code specific roles for planning, code review, QA, and shipping. Let's see how it works.

Ever feel like most AI agents are just blindly following a script? Let's change that. We'll walk through building a "Streaming Decision Agent" in Python that can think, react, and adapt to a world that's constantly changing.

Tired of endless hyperparameter tuning? Let's walk through how to build an autonomous research agent using Andrej Karpathy's AutoResearch framework. You'll learn to automate experiments, track results, and find better models while you sleep, all within a free Google Colab notebook.

Stanford researchers just dropped OpenJarvis, an open-source framework for building personal AI agents that run right on your device. Let's break down why this is a huge deal for privacy, speed, and the future of AI.

GitHub has just released the Copilot-SDK, letting you embed the powerful agentic runtime from the Copilot CLI directly into your own applications. Let's break down what this means for you and why it's a huge deal for building AI-powered tools.

Tired of AI agents that fail in production? Let's walk through how to build a bulletproof agentic workflow using PydanticAI, strict schemas, and tool injection to create reliable, predictable, and model-agnostic AI systems.