
Privacy-first personal knowledge management system
SiYuan is an open-source, privacy-first personal knowledge management system that supports Markdown, block-level references, and bidirectional links. It works completely offline with optional end-to-end encrypted cloud sync, making it ideal for users who want full control over their data.
Edit and reference content at the block level, enabling granular knowledge organization and reuse
Create two-way connections between notes for a networked knowledge graph
Write in Markdown with support for math formulas, charts, flowcharts, Gantt charts, and more
Works entirely offline with local-first data storage for maximum privacy
Optional cloud sync with end-to-end encryption for secure multi-device access
Visualize connections between notes in an interactive knowledge graph
Sync and backup via third-party services like Amazon S3 and WebDAV
Build a second brain with interconnected notes, bidirectional links, and graph visualization
Organize research papers, create references between concepts, and use math/chart support for technical writing
Keep all data local with optional encrypted sync for users who prioritize data sovereignty
Create structured documentation with block-level editing, code blocks, and diagram support
Best for privacy-focused individual knowledge management — SiYuan's block-level precision, one-time pricing, and FSRS flashcards make it ideal for researchers and learners building long-term personal knowledge bases
Best for researchers who need deep block-level linking with built-in spaced repetition — SiYuan's granular referencing and flashcard system create a unique learn-while-you-write workflow.
Available on Windows, macOS, Linux, iOS, Android, and Docker

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