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NoteDiscovery
Transforming fragmented research notes, daily technical logs, and project documentation into an interconnected knowledge base is what NoteDiscovery delivers for privacy-conscious teams and researchers. Writers compose rich documents using a dual-pane editor that renders MathJax equations, interactive task lists, and dynamic Mermaid sequence diagrams side by side with raw text. The interactive knowledge graph maps semantic relationships across notebooks, allowing researchers to explore backlinks, uncover hidden topical connections, and navigate complex idea webs visually. Team members sketch architecture diagrams and wireframes directly inside note canvases using the integrated drawing tool, saving revisions as embedded image layers without external editors. The platform organizes thoughts through flexible tag hierarchies, nested folder trees, and reusable document templates equipped with automatic date and variable substitutions. Autonomous coding assistants and language models query documentation, create structured meeting summaries, and update project indexes directly through the native Model Context Protocol server. Built-in export tools convert notebook collections into standalone HTML packages, printable documents, or portable Markdown archives for offline archiving. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.
Benefits
- Zero Lock-In Plain Markdown Architecture
- Stores all notebook entries as human-readable standard Markdown files directly on the host filesystem, ensuring persistent data sovereignty without proprietary database encodings or vendor lock-in.
- Native Model Context Protocol Server
- Exposes notes, directory hierarchies, and semantic search endpoints directly to AI coding companions like Claude and Cursor through authenticated Model Context Protocol tooling.
- Interactive Bidirectional Knowledge Graph Visualizer
- Renders multidimensional relationship graphs across document backlinks and shared tags, helping researchers discover emergent connections between disparate thoughts and project references.
- Self-Contained Embedded Canvas Drawing Engine
- Enables users to sketch technical illustrations, process workflows, and interface wireframes directly inside document bodies with automatic inline image persistence and version tracking.
Features
- Mermaid and MathJax Rendering
- Compiles mathematical formulas, flowchart logic, Gantt charts, and sequence diagrams directly inside Markdown documents with real-time preview updating.
- Interactive Knowledge Graph View
- Visualizes document connections and tag clusters with customizable node filtering, physics simulation controls, and single-click document navigation.
- Dynamic Document Template Engine
- Generates structured meeting notes, project briefs, and research journals using reusable templates prefilled with date tokens and variable prompts.
- Integrated Vector and Tag Search
- Scans entire notebook libraries instantly with combined tag filters, folder path scoping, and fast full-text keyword indexing.
- Multi-Theme Customization Engine
- Supports modular CSS themes and community plugins to customize editor typography, color palettes, and workspace layouts.