What do you want to learn today?
Plain-English explainers on the ideas behind BrainTube — memory, retrieval, MCP, and the AI tooling around them.
What is MCP (Model Context Protocol)?
The open protocol that lets any AI client read your tools and data — without bespoke integrations.
Semantic search vs keyword search
Why "vibes-based" search returns things keyword search misses — and where it still loses.
A second brain for operators
What changes when your notes, videos, and PDFs are queryable from inside the tools you already use.
RAG in 90 seconds
Retrieval-Augmented Generation, demystified for non-engineers.
Treating YouTube as a knowledge source
Transcripts, chapter detection, and entity extraction turn videos into searchable documents.
Why AI memory should be portable
Lock-in is the default. Portability is a design choice.
What Is an AI Memory Layer?
The persistent store of knowledge and context that lives outside any single AI chat — so every AI can read the same memory.
What Is an MCP Memory Server?
An MCP server that gives AI assistants read (and sometimes write) access to a persistent knowledge base.
Persistent Memory vs the Context Window: Why Your AI Forgets
The context window is temporary working memory. Persistent memory survives across sessions and tools.
How to Chat With Your YouTube Videos and Podcasts Using AI
How to make YouTube videos and podcasts searchable and chattable — the three approaches, honest trade-offs, and a step-by-step for the MCP path.
How to Give Your AI Persistent Memory Across Every Tool You Use
How to give your AI persistent memory that works across every tool you use — the four options ranked, honest setup, and how to keep your data portable.