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Foarbyld fan MemexNG-Semantic History Search

MemexNG-Semantic History Search troch Durga Gairhe

AI-powered semantic search for your browsing history — 100% private, fully local. Find any page you've read by describing it naturally, without exact keywords.

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MemexNG — Semantic History Search

Find anything you've ever read. MemexNG brings AI-powered semantic search to your browsing history — completely private and fully local. Instead of searching with exact keywords, simply describe what you remember.

🔍 Semantic Search

Find pages by meaning, not exact words:
- "that article about AI privacy risks"
- "React authentication tutorial"
- "video about local LLMs"
- "CSS animation performance guide"
Uses on-device AI embeddings to understand the meaning behind your searches.



🧠 Ask Questions About What You've Read

Use natural language to search and summarize information from your browsing history:
- Retrieve relevant pages
- Surface matching excerpts
- Provide cited answers with clickable source references
- Rediscover forgotten research
Every answer includes clickable source references.



⚡ Fast & Lightweight
  • Instant popup search
  • Fast HNSW vector search
  • Optimized for large histories
  • Dark / light / system theme



🔒 100% Private — No Cloud
  • Data never leaves your device
  • No servers, no telemetry, no accounts
  • No tracking, no analytics
  • Works fully offline after model download



🏷️ Features
  • Semantic history search
  • AI natural language queries
  • Local vector search index
  • Reading list & annotations
  • Omnibox search
  • Domain filtering & relevance controls
  • Indexed page statistics
  • Configurable privacy controls



🛡 Permissions
  • <all_urls> — page content extraction for indexing
  • storage / unlimitedStorage — stores your local search index
  • activeTab — reads current page when indexing
  • history — optional browsing history indexing
  • offscreen — runs AI embedding generation efficiently
    All processing happens locally on your device.



🧩 Open Source

Built with Transformers.js, ONNX Runtime Web, Mozilla Readability, Voy vector search, React + TypeScript.
MemexNG — Your History, Augmented.
Untwikkelersopmerkingen
Built with WXT v0.19 + Vite 6. Uses @huggingface/transformers (ONNX Runtime Web) for on-device text embeddings and voy-search (WebAssembly) for vector similarity search. All ML inference runs locally via WebAssembly — no external APIs. The fixMv2Background Rollup plugin inlines all ES module imports into background.js for Firefox MV2 compatibility. Readability.js is used for article extraction.
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