Notebook is an open-source, local-first infinite canvas built for STEM. Write LaTeX, draw physics and engineering diagrams, plot functions, create charts and tables, annotate PDFs, and export your work: all in one workspace. Built with .NET, Next.js, TypeScript, SQLite, Konva and MathJax. The vision: evolve it into a computational canvas where scientific simulations and AI/ML models can run alongside your notes.
Most AI memory relies on Vector RAG, which lacks structural context. MemoryOS is a hybrid knowledge base that runs Vector Search and Graph Traversal in parallel. Using recursive SQL CTEs, it finds relational links that standard RAG misses—like discovering "HNSW" when you only query "indexing." It features a real-time Retrieval Inspector, UMAP semantic cluster maps, and an MCP server to connect your local knowledge memory directly to any AI assistant like Claude or ChatGPT.
