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Show HN: Atomic – self-hosted, semantically-connected personal knowledge base

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Why This Matters

Atomic introduces a self-hosted, semantically-connected personal knowledge base that transforms markdown notes into an AI-augmented knowledge graph. Its features enable users to organize, visualize, and synthesize their knowledge efficiently, making it a powerful tool for knowledge management and AI integration. This innovation has the potential to reshape personal and professional information workflows by providing more intelligent and interconnected note-taking solutions.

Key Takeaways

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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