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@@ -123,6 +123,7 @@ These are integrations that are officially supported by the third party:
 - [logseq-mass-pages-recovery](https://github.com/jmbenedetto/logseq_mass_pages_recovery.git) by JMB - Jupyther notebook writen in python to undo mass pages changes as the ones done through VS Code. It leverages LogSeq backup in logseq/bak dir within LogSeq local graph.
 - [Logseq Advanced Query Builder](https://adxsoft.github.io/logseqadvancedquerybuilder/) by adxsoft - An Experimental online tool to help Logseq Users build advanced queries from simple commands
 - [llm-wiki](https://github.com/MehmetGoekce/llm-wiki) by MehmetGoekce - Maintain your Logseq graph automatically with Claude Code. Implements [Karpathy's LLM Wiki pattern](https://gist.github.com/karpathy/442a6bf555914893e9891c11519de94f) with five operations (`/wiki ingest`, `query`, `lint`, `status`, `migrate`), schema-driven consistency, and automated health checks (orphans, stale pages, broken refs, credential leaks). Two-layer cache architecture (auto-loaded rules + on-demand wiki).
+- [matryca-plumber](https://github.com/MarcoPorcellato/matryca-plumber) by MarcoPorcellato - A local-first AI daemon for Logseq OG. It safely reads and edits your local `.md` files in the background, offering semantic indexing, automated link cleaning, a CLI and MCP (Model Context Protocol) integration for AI agents, and a Tana import from JSON to Logseq OG.
 
 ### Bibliography and PDF Integrations
 Bibliography managers (eg Zotero) are widely used in scientific research, and scientist often need to read PDFs and take in-depth notes.