matzalazar

matzalazar / rhizome

Public

Local-first semantic backlinks for Obsidian and Logseq — embeds your notes with a multilingual sentence transformer and writes ## Related Notes sections as wikilinks, with no cloud API or database required.

20
1
100% credibility
Found Mar 26, 2026 at 20 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Python
AI Summary

Rhizome is a local tool that scans Obsidian or Logseq note collections, finds semantically similar notes using on-device AI, and appends wiki-links in a 'Related Notes' section to each file.

How It Works

1
🔍 Discover Rhizome

You find a helpful tool that automatically connects your personal notes by their meaning, making your knowledge easier to explore.

2
📥 Set it up

Download the tool to your computer and get it ready – it works entirely on your machine with no outside help.

3
📁 Point to your notes

Show the tool the folder holding your Obsidian or Logseq notes so it can read what you've written.

4
👀 Preview connections

Take a quick look at the smart links it suggests between your notes, seeing exactly what will be added.

5
Go ahead

Say yes to proceed, and it makes a safe copy of your notes first before adding the related links.

Notes come alive

Open your notes app to find a new 'Related Notes' section on each page, instantly linking similar ideas across your collection.

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Star Growth

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AI-Generated Review

What is rhizome?

Rhizome is a Python tool that adds semantic backlinks to your Obsidian or Logseq notes by embedding content with multilingual sentence transformers and injecting "## Related Notes" sections as wikilinks. It runs entirely local-first on your machine using ONNX Runtime—no cloud API, database, or internet after the initial model download. Note-takers get an instant knowledge graph in their vault filesystem that syncs anywhere.

Why is it gaining traction?

Unlike cloud-dependent backlink tools, rhizome delivers embeds and similarity search offline, scaling from small vaults with exact numpy matches to large ones via approximate HNSW indexing. Key hooks include dry-run previews, automatic backups, idempotent updates, and CLI commands like `rhizome run`, `audit`, `clean`, and `restore`. Multilingual support for 50+ languages and swappable models make it versatile without setup hassles.

Who should use this?

Obsidian and Logseq power users building personal knowledge management systems, especially those with multilingual notes or privacy concerns around cloud services. It's ideal for developers maintaining large vaults of technical docs, Zettelkasten practitioners, or anyone tired of manual linking in apps without built-in semantic search.

Verdict

Try rhizome if you want local-first backlinks today—excellent docs, CLI, and safety features make it production-ready despite 20 stars and 1.0% credibility score. At v0.1.0 with CI and MIT license, it's mature enough for daily use but watch for community growth.

(198 words)

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