Markdown Knowledge Graph for Humans and Agents

You accumulate knowledge constantly — notes, docs, project decisions, things you'll need to remember later. AI agents could help you work with all of this. But how do you give them access to what you know? There's a growing industry around "agent memory" — vector databases, embedding pipelines, retrieval systems. But for personal and project knowledge, the answer might be simpler: plain Markdown files. The Problem with Agent Memory The amount of knowledge and context we need to operate with grows exponentially. Codebases expand. Documentation multiplies. Every project accumulates decisions, patterns, and tribal knowledge that's hard to keep in your head — or fit in a context window. AI agents are supposed to help. Every framework now ships with some form of memory management. LangChain has memory modules. CrewAI has knowledge sources. AutoGPT writes to files. The common pattern: agents need persistent, structured storage that survives beyond a single conversation. The dominant approach