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matryca-plumber
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matryca-plumber

Active·★ 100·Apache-2.0·Updated 2026-10-22

Matryca is a headless MCP server and CLI that turns a local Logseq graph into an agentic workspace. It operates without network APIs or background desktop app, using atomic AST writes and X-Ray token compression. It provides spatial intelligence, sandboxed privacy, and zero-database lexical engine.

#agentic-memory#ai-agents#andrej-karpathy#autonomous-agents#knowledge-graph#llm
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Guides
#llm-wiki
#llm-wiki-karpathy
$ Install
$ git clone https://github.com/MarcoPorcellato/matryca-logseq-llm-wiki.git && cd matryca-logseq-llm-wiki && make install
↗ Visit site★ GitHub
01

Features

01AST Spatial Intelligence
02100% Headless & Local-First
03X-Ray Token Economy
04Sandboxed Privacy
05Agent-Native CLI
02

Compatibility

Python
Python 3.12+
Verified via docs
macOS
macOS via LaunchAgent
Verified via docs
Linux
Linux via systemd
Verified via docs
Claude Desktop
MCP host
Verified via docs
03

Quick start

1
$ git clone https://github.com/MarcoPorcellato/matryca-logseq-llm-wiki.git
2
$ cd matryca-logseq-llm-wiki
3
$ make install
04

Use cases

↳Privacy-preserving AI knowledge management
↳Agentic writing and refactoring of Logseq pages
↳Local-first automation with MCP clients like Claude Desktop
05

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MarcoPorcellato /
matryca-plumber
↗

Bringing Andrej Karpathy's LLM Wiki to the Outliner Paradigm. Turn any AI Agent into a spatial Knowledge Architect using Logseq's atomic nodes.

100Apache-2.0
Last commit1d ago
StatusActive
CategoryMemory & Context
Links
Documentation↗Discussion↗Issues↗Releases↗
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