AI Agents

AI agents are systems that use LLMs as a reasoning engine to autonomously plan and execute multi-step tasks. This hub covers the latest in agentic AI frameworks, tools, and real-world applications.

Latest on AI Agents

Split-screen comparison illustration titled Graph RAG versus Vector RAG. On the blue left side, vector RAG runs from source data through an embedding model into a glowing cube of scattered points, then to query, LLM and answer, labelled primary method: semantic similarity. On the purple right side, graph RAG runs from source data through entity extraction into a connected node graph, then to query, LLM and answer, labelled primary method: relationship traversal

AI & TechnologyComparison

GraphRAG vs Vector RAG: When a Knowledge Graph Actually Beats Embeddings

Vector search finds the passage that resembles your question. Some questions have no such passage. Here's the class of question GraphRAG exists for — and when it isn't worth the cost.

Aug 22, 202614 min

Illustration of the agent loop as a glowing infinity symbol running from your prompt on the left to your answer on the right, with stages labelled perception and planning, tool execution, and reflection and refinement, an LLM chip inside the loop, and an external tools cluster listing API, web search and database, over a dark blue circuit-board background

AI & TechnologyGuide

The Agent Loop: What Actually Happens Between Your Prompt and the Answer

An AI agent isn't a smarter model — it's a plain loop wrapped around an ordinary request. Here's the mechanism, the six ways a turn can end, and why the bill grows faster than the conversation.

Aug 22, 202616 min

Illustration of the Model Context Protocol: an AI model chip on the left connects through a secure link into a large glowing central hub labelled MCP, which fans out on the right to knowledge bases, documents, databases, and tools and APIs, over a dark purple-to-teal circuit and network background

AI & TechnologyGuide

What Is MCP? The Model Context Protocol, Explained Properly

MCP is the USB-C of AI tooling — one standard so every app can talk to every tool. Here's what it actually defines, why it spread so fast, and the security gap that came with it.

Aug 22, 202615 min

Diagram of a glowing central lead agent node connected to five worker agent nodes, representing a multi-agent AI system

AI & TechnologyGuide

Multi-Agent AI Systems Explained: When One AI Isn't Enough

How multi-agent AI systems work: the orchestrator-worker pattern, why they outperform a single agent, real token-cost tradeoffs, and when to actually use one.

Jul 17, 202610 min

A glowing blue circuit-brain hologram labeled RAG — Retrieval, Augmented, Generation — ringed by icons for retrieve, augment, generate, knowledge base, and context-aware AI

AI & TechnologyGuide

What Is RAG (Retrieval-Augmented Generation)?

RAG lets an AI model look things up before it answers — grounding its response in real, current, trusted data. Here's how retrieval-augmented generation works, in plain English.

Jul 16, 202612 min

A central orchestrator node delegating tasks to two smaller worker nodes, representing an AI model coordinating cheaper models

AI & TechnologyTutorial

How to Use Claude Fable 5 as an Orchestrator

Fable 5 is the most capable Claude model — and the most expensive. The trick is to use it as the head chef that plans and delegates, while cheaper models do the cooking.

Jul 12, 202612 min

A rocket launching against a dramatic sky, representing SpaceX

AI & TechnologyAnalysis

SpaceX Buys AI Coding Startup Cursor for $60 Billion — Days After Its Record IPO

Days after the biggest IPO in history, SpaceX is acquiring AI-coding startup Cursor in a $60 billion all-stock deal — the boldest move yet in Elon Musk's plan to build an AI empire.

Jun 16, 20268 min

White humanoid robot representing autonomous AI agents

AI & TechnologyGuide

AI Agents Explained: A Practical Beginner's Guide

What are AI agents? A plain-English guide to how autonomous AI works, how agents differ from chatbots, real use cases, the risks, and how to start using them.

May 10, 202612 min

Frequently Asked Questions

What are AI agents?

AI agents are autonomous systems that use AI models to perceive their environment, reason, plan, and take actions to complete goals — often without step-by-step human direction.