
Trilium Notes
Open-source hierarchical notes and personal knowledge base with rich editing, full-text search, encryption, scripting, and optional self-hosted sync and web access.

Trilium Notes is a cross-platform note-taking application designed for building large, structured personal knowledge bases. It can be used locally as a desktop app or run as a server to access notes in a browser and synchronize across devices.
Key Features
- Deep hierarchical note tree with cloning (one note can appear in multiple places)
- Rich WYSIWYG editor with Markdown-like autoformat, tables, images, and math
- Code notes with syntax highlighting and dedicated editor
- Full-text search plus fast navigation, hoisting, and command palette-style search
- Note revisions/versioning for review and undo
- Per-note encryption with password-protected sessions
- Web clipper support for saving web content into notes
- Extensibility via attributes, scripting, custom widgets, and built-in REST API
- Multiple note types and visual tools (canvas, Mermaid diagrams, mind maps, relation/note maps)
- Collections for structured workflows (tables, kanban boards, calendar, geomap, presentations)
Use Cases
- Personal or team knowledge base with structured documentation and cross-linked notes
- Research and project organization using tables, kanban boards, diagrams, and saved searches
- Private journaling and sensitive information storage using per-note encryption
Limitations and Considerations
- Uses an SQLite database; sharing the database directly over a network drive is discouraged due to corruption risk
- Not intended as a large-file storage system; synchronization can be unreliable with very large uploads
- No official native mobile app; mobile access is primarily via the web/mobile frontend (PWA)
Trilium Notes combines a strong hierarchical model with powerful search, versioning, and automation features. It is well-suited for users who want an extensible knowledge base that scales to very large collections of notes while keeping control of their data.







