angrysky56/project-synapse-mcp
Transforms raw text into interconnected knowledge graphs and autonomously generates insights through advanced pattern detection. It combines formal semantic analysis (Montague Grammar) with Zettelkasten methodology to create a true cognitive partnership with AI.
This system helps researchers, project managers, and dedicated learners transform raw text from their notes, articles, and research into a structured, interconnected knowledge base. You feed it your plain text documents, and it creates a smart wiki (Obsidian Markdown) linked to a powerful graph database (Neo4j). This allows you to browse human-readable notes while also discovering hidden connections and generating insights through autonomous pattern detection.
Use this if you need a long-term, compounding knowledge system for deep research, project decision-making, or personal learning, where you want AI to help you synthesize insights from your accumulated information.
Not ideal if you're looking for a simple note-taking app or a code editor, as this is a sophisticated knowledge synthesis engine designed for complex, evolving information.
Stars
8
Forks
2
Language
Python
License
MIT
Category
Last pushed
Oct 22, 2025
Commits (30d)
0
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