Atomic
A personal knowledge base that turns markdown notes into a semantically-connected, AI-augmented knowledge graph.
Atomic stores knowledge as atoms — markdown notes that are automatically chunked, embedded, tagged, and linked by semantic similarity. Your atoms can be synthesized into wiki articles, explored on a spatial canvas, and queried through an agentic chat interface.
Features
Atoms — Markdown notes with hierarchical tagging, source URLs, and automatic chunking
— Markdown notes with hierarchical tagging, source URLs, and automatic chunking Semantic Search — Vector search over your knowledge base using sqlite-vec
— Vector search over your knowledge base using sqlite-vec Canvas — Force-directed spatial visualization where semantic similarity determines layout
— Force-directed spatial visualization where semantic similarity determines layout Wiki Synthesis — LLM-generated articles with inline citations, built from your notes
— LLM-generated articles with inline citations, built from your notes Chat — Agentic RAG interface that searches your knowledge base during conversation
— Agentic RAG interface that searches your knowledge base during conversation Auto-Tagging — LLM-powered tag extraction organized into hierarchical categories
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