PM Brain: Open-Source AI Memory System Built on Plain Markdown, Not Vector DBs
Developer Pavel Hurun released PM Brain in May 2026, an open-source AI memory project that has since gained 736 GitHub stars and 152 forks. Unlike most AI memory systems, PM Brain stores information in plain Markdown files on a local laptop rather than using vector databases, RAG pipelines, or cloud infrastructure. The project's documentation identifies five recurring failure patterns in conventional AI memory systems, including context overload, silent strategy drift, and the loss of decision rationale. PM Brain pairs with the related pm-skills repository, which has over 26,000 stars, with pm-skills handling workflow and PM Brain handling the memory layer. The project challenges the prevailing assumption that complex vector-based retrieval is necessary for effective AI memory, arguing that simpler, structured plain-text storage can outperform heavier approaches.
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