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Memex

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by evan-moon Β· TypeScript

Local-first second brain with semantic search. Markdown notes indexed by a local ML model.

Local-first second brain with semantic search. Markdown notes indexed by a local ML model. The repository centers on a local-first approach to note-taking, enabling semantic and vector search over Markdown notes with an embedded model.

πŸ› οΈ Key Features

  • Local-first architecture with on-device indexing
  • Semantic search over Markdown notes
  • Vector-based retrieval powered by an embedded ML model
  • Note-taking focused on β€œsecond brain” workflows
  • Topics: claude, local-first, mcp, note-taking, second-brain, semantic-search, vector-search

πŸš€ Use Cases

  • Building a personal knowledge base from Markdown notes
  • Semantic querying of notes to surface related ideas
  • Offline, private information retrieval without cloud dependencies

⚑ Developer Benefits

  • Clear MCP-aligned server implementation for local-first environments
  • Themes of semantic and vector search integrated into a single workflow
  • Exposed topics for discoverability and integration

⚠️ Limitations

  • Data locality may limit cross-device synchronization without configuration
  • Dependencies on a local ML model; performance varies by host hardware

Topics

claudelocal-firstmcpnote-takingsecond-brainsemantic-searchvector-search
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