Developer Explains Why He Migrated AI Agent Knowledge Base Away From Local Markdown

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A developer building a system called Doco has shared why he moved his agent-maintained knowledge base away from local Markdown files after running into persistent synchronization and concurrency issues. The core problem arose when multiple users and AI agents needed to read and write the same material simultaneously, turning file management into a complex application-level challenge. Local Markdown files lack stable paragraph identities, meaning that edits such as renaming headings or inserting lines can break agent citations and automated patches. In response, Doco uses ProseMirror and Yjs to assign stable IDs to document blocks, so citations remain valid even after content is reorganized. The developer also implemented version-checked writes, requiring agents to confirm a document has not changed since their last read before any update is accepted.

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