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Matryca Plumber

Matryca Plumber is a Python-based local AI daemon for Logseq OG graphs that semantically indexes Markdown files, performs link-hygiene operations and exposes agent-ready CLI and MCP access without relying on the Logseq API or a cloud service.

Explore the practical guide ↓

Independent OpenViST project profile, based on linked sources.

Matryca Plumber — OpenViST project profile in Agent Memory & RAG.
OpenViST project illustration. See the linked sources for product details.
Understand the project

Practical overview

When it fits

Use it when a Logseq Markdown graph needs local semantic indexing, link maintenance or structured access for an AI agent while keeping Markdown files on disk as the knowledge authority.

Who it is for

  • People maintaining Logseq OG knowledge graphs as local Markdown.
  • Developers building agent workflows around local notes.
  • Teams or individuals seeking self-hosted indexing and Markdown maintenance.

Documented uses

  • Semantically index Logseq Markdown in the background.
  • Maintain links across a Markdown knowledge graph.
  • Expose indexed local knowledge to MCP-capable agents.
  • Provide CLI access to the local knowledge-management daemon.
Before you choose

Requirements & limits

The repository is public and licensed under Apache-2.0. The documented quick start requires Python 3.12 or newer and a Logseq OG graph.

  • Logseq OG is the documented target environment.
  • The project does not require a specific graph database, vector database, embedding model or retrieval algorithm.
  • The repository describes no cloud dependency and no Logseq API dependency.
  • MCP integration is available, but the individual tools or operations are not enumerated in the supplied documentation.
  • Use with a non-Logseq Markdown directory is marked Experimental rather than established support.

Check current requirements in the official documentation. Source-based guidance does not mean OpenViST has run or independently tested this project.

Source-based practical guide

Start the local Matryca Plumber interface

Open the documented UI flow and prepare a cloned Logseq OG graph for the engine.

Before you start

  • Python 3.12 or newer
  • A Logseq OG graph
  • The Matryca Plumber package accessible through uvx

Steps

  1. Run uvx matryca-plumber status.

  2. Open the local interface at http://127.0.0.1:8500.

  3. Select a cloned Logseq graph.

  4. Review the pre-flight checks.

  5. Start the engine when ready.

Expected outcome

The documented local UI flow is opened with the selected graph prepared for engine startup.

Guide limitations

  • The evidence documents the startup flow, not a completed indexing or agent-retrieval session.
  • Support for arbitrary non-Logseq Markdown directories is experimental.
Documentation 1 ↗
Evidence and transparency

Sources & review

Official repository ↗
Source record details
Source availability
Active
Sources checked
4 October 2026
Original website title
MarcoPorcellato/matryca-plumber · Official homepage title · retained in its source language
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