matryca-plumber — security grade SAFE, quality 65/100

Security audit verdict: SAFE · quality 65/100

No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →

by MarcoPorcellato · MCP Server · ★ 98

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

🔒 Is matryca-plumber safe to install? View the security audit →

About matryca-plumber

Matryca Plumber [![Platform](https://img.shields.io/badge/

agentic-memoryai-agentsandrej-karpathyautonomous-agentsfastmcpknowledge-graphllmllm-wikillm-wiki-karpathylocal-first

Quick Facts

Stars98
Forks18
LanguagePython
CategoryMCP Server
LicenseApache-2.0
Quality Score65.1068752981572/100
Open Issues82
Last Updated2026-10-01
Created2026-05-17
Platformscli, mcp, python
Est. Tokens~21k

Compatible Skills

These tools work well together with matryca-plumber for enhanced workflows:

  • llm-wiki-template — semantic(0.34)+complementary+rare_topics+same_lang+similar_pop+shared_platform (66%)
  • braindb — semantic(0.44)+complementary+rare_topics+same_lang+similar_pop+shared_platform (65%)
  • llm-wiki-plugin — semantic(0.43)+complementary+rare_topics+same_lang+similar_pop+shared_platform (65%)

matryca-plumber alternative? Top 6 similar tools

Looking for a matryca-plumber alternative? If you're comparing matryca-plumber with other mcp server tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.

  • Kompl by tuirk · ⭐ 76

    A compounding LLM-wiki, best fit as a personal second brain that organizes and updates itself as it grows, zer

  • agent-second-brain by smixs · ⭐ 367

    An always-on second brain you talk to. Voice notes in Telegram → typed, linked knowledge in your Obsidian vaul

  • gno by gmickel · ⭐ 115

    Local AI-powered document search and editing with first-in-class hybrid retrieval, LLM answers, WebUI, REST AP

  • zettelforge by ThreatRecall · ⭐ 63

    Agentic memory for CTI in Python — STIX knowledge graphs, threat-actor alias resolution, offline-first RAG, MC

  • zettelforge by rolandpg · ⭐ 50

    Agentic memory for CTI in Python — STIX knowledge graphs, threat-actor alias resolution, offline-first RAG, MC

  • octocode by Muvon · ⭐ 477

    Structural code intelligence for AI agents — semantic search, knowledge graphs, and a built-in MCP server in o

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Frequently Asked Questions

What is matryca-plumber?

matryca-plumber is 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.. It is categorized as a MCP Server with 98 GitHub stars.

What programming language is matryca-plumber written in?

matryca-plumber is primarily written in Python. It covers topics such as agentic-memory, ai-agents, andrej-karpathy.

How do I install or use matryca-plumber?

You can find installation instructions and usage details in the matryca-plumber GitHub repository at github.com/MarcoPorcellato/matryca-plumber. The project has 98 stars and 18 forks, indicating an active community.

What license does matryca-plumber use?

matryca-plumber is released under the Apache-2.0 license, making it free to use and modify according to the license terms.

What are the best alternatives to matryca-plumber?

The top alternatives to matryca-plumber on Agent Skills Hub include Kompl, agent-second-brain, gno. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.

How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.

The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.

Sources & who's responsible:

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