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matryca-plumber MCP Server

MarcoPorcellato/matryca-plumber

Score: 77.3 Rank #2625 Search & RAG
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Local-first AI daemon for Logseq OG: background semantic indexing, link hygiene, and agent-ready CLI/MCP — edits Markdown on disk (no cloud, no Logseq API). Karpathy LLM-Wiki inspired.

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Overview

MarcoPorcellato/matryca-plumber is a Python tool licensed under Apache-2.0. Local-first AI daemon for Logseq OG: background semantic indexing, link hygiene, and agent-ready CLI/MCP — edits Markdown on disk (no cloud, no Logseq API). Karpathy LLM-Wiki inspired. Topics: agentic-memory, ai-agents, andrej-karpathy, autonomous-agents, knowledge-graph, llm, llm-wiki, llm-wiki-karpathy, logseq, markdown, mcp, model-context-protocol, outliner, pkm, rag, second-brain, matryca, fastmcp, local-first, python.

Ranked #2625 out of 24846 indexed tools.

Has 11 contributors.

Ecosystem

Python Apache-2.0 77 pypi/wk
agentic-memoryai-agentsandrej-karpathyautonomous-agentsknowledge-graphllmllm-wikillm-wiki-karpathylogseqmarkdownmcpmodel-context-protocoloutlinerpkmragsecond-brainmatrycafastmcplocal-firstpython

Score Breakdown

StarsFreshnessIssue HealthContributorsDependents
Stars 15% 100

100 stars → early stage

Freshness 25% 29d ago

Last commit 29d ago → recently updated

Issue Health 25% 70%

187/269 issues closed → decent issue management

Contributors 10% 11

11 contributors → active community

Dependents 25% 0

No dependents → no downstream usage

npm Downloads N/A
PyPI Downloads 13% 77/wk

77 weekly installs → early adoption

Forks 17
Description Detailed
License Apache-2.0

Weights: Freshness 20% · Issue Health 20% · Dependents 22% · Stars 10% · Contributors 8% · How we score →

How to Improve

Dependents medium impact

No downstream dependents detected yet — adoption by other projects is the strongest trust signal

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Matched Queries

topic:mcptopic:model-context-protocol

From the README

# Matryca Plumber

> I gave an AI agent access to my notes. It corrupted them.<br>
> I built Matryca Plumber so that never happens again.

We are not building another "agentic memory"...

## We are building the **governed memory plane for humans and agents.**

Human-owned memory. Agent-native access. Governed evolution.

Matryca Plumber does not define or require a graph database, vector database, embedding model or retrieval algorithm.

> **v2.0.0 is stable and available now.** Matryca Plumber's default-on external
> Shadow DB, Strict Read Only protection, Markdown authority, and fail-closed
> fallback contract are now published on [GitHub Releases](https://github.com/MarcoPorcellato/matryca-plumber/releases/tag/v2.0.0)
> and [PyPI](https://pypi.org/project/matryca-plumber/2.0.0/). Read the
> [release record](docs/releases/v2.0.0-GITHUB.md) and [changelog](CHANGELOG.md)
> for the exact scope and upgrade notes.

> **Published maintenance prerelease:** `v2.0.1-rc.1` remains available fo
Read full README on GitHub →

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