Give LangChain, LangGraph & CrewAI Real Memory With Matrix Context

This article provides a technical tutorial on integrating Matrix Context, a local-first typed memory system, into three popular AI agent frameworks: LangChain, LangGraph, and CrewAI. It demonstrates downloading a real document (PostgreSQL Wikipedia page), ingesting it into memory, and querying it from each framework. The tutorial includes code examples for creating a custom retriever in LangChain, a memory node in LangGraph, and a tool for CrewAI, highlighting when this approach outperforms a plain vector database. The content is focused on software development, AI/ML frameworks, and practical implementation, making it relevant to the IT/TECHNOLOGY project.