Developer Adapts Zettelkasten Note-Taking Method for AI Coding Agents

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A developer has integrated the Zettelkasten note-taking methodology into AmblerTS, an open-source Deno/TypeScript state-machine framework, to help AI coding agents retain project-specific knowledge across sessions. The approach stores atomic, interlinked notes in a local SQLite database, capturing design decisions, constraints, and other non-obvious learnings. Coding agents such as Gemini and Claude are directed to use the system via an AGENTS.md file, which serves as project-level instructions. The implementation supports six core operations — search, create, get, update, link, and delete — with search combining FTS5 keyword matching and optional semantic re-ranking via embeddings. The project is open source and available on GitHub, with the developer also considering a shared, user-level knowledge base spanning multiple projects.

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