Python

This post contains affiliate links. I may earn a commission at no extra cost to you. One of the most common frustrations when building AI agents is watching them forget everything the moment a conversation ends—or worse, running out of context halfway through a long session. Memory is what separates a toy chatbot from a production-grade agent. In this guide, you will build a two-tier memory system: fast in-memory buffer for recent turns, and a persistent vector store for long-term recall. All code is runnable with Python 3.11+ and the Anthropic SDK. ...

This post contains affiliate links. I may earn a commission at no extra cost to you. Web scraping has always been fragile—one DOM change breaks your carefully crafted CSS selectors. AI-powered scraping agents flip this model: instead of brittle selectors, you describe what you want in plain English, and the agent figures out how to get it. This tutorial builds a web scraping agent that combines Claude’s reasoning capabilities with Playwright’s browser automation. The result is a scraper that adapts to page structure changes and handles JavaScript-heavy sites that traditional scrapers can’t touch. ...

This post contains affiliate links. I may earn a commission at no extra cost to you. LangChain and LangGraph are often mentioned in the same breath, which makes sense—LangGraph is built on top of LangChain. But treating them as alternatives is a mistake. They solve different problems, and choosing the wrong one for your use case creates real friction. This guide cuts through the confusion. I will show you exactly what each framework is designed for, where each one breaks down, and how to make the decision for your specific project. ...