siyuan-note/siyuan
⭐ 43,748 · #6 · TypeScript
A privacy-first, self-hosted, fully open source personal knowledge management software, written in typescript and golang.
TypeScript anki chatgpt deepseek Webui
Project Analysis
| 🎯 Positioning | Visual Interaction Layer |
| 💡 Core Value | Encapsulates Agent's command-line capabilities into a web interface, supporting session management, history, multi-model switching, etc., lowering the barrier for non-technical users |
| 👥 Target Audience | Users unfamiliar with terminal operations, or scenarios requiring team collaboration with Agent |
Why It's Worth Attention
43,748 Stars, with active community engagement, indicating it solves real pain points. Developed using TypeScript.
An open-source, privacy-first personal knowledge management system supporting self-hosting.
Core Features
- Local-First & Offline Availability: All data is stored locally on the device, fully usable without internet, giving users complete control over their notes and data.
- Block-Level Referencing & Bidirectional Links: Supports referencing and backlinking at the block level (paragraphs, images, etc.) to build knowledge networks, similar to the core experience of Notion and Roam Research.
- Rich Import/Export & Sync: Natively supports Markdown format and offers import from mainstream tools like Evernote and Notion. Supports multi-device sync via protocols like WebDAV, S3, and iCloud.
- Extensibility & Integration: Features a marketplace for community-developed widgets, templates, and icons. Supports connecting to AI services like OpenAI, DeepSeek, and Ollama for Q&A or summarization, as well as Anki card creation.
- Powerful Content Processing: Supports PDF annotation, OCR text recognition, mathematical formulas, chart drawing, and even direct rendering of mind map outlines.
Technical Architecture
- Frontend: Built with TypeScript and Electron for the desktop client, providing a near-native application experience.
- Backend: The core data layer and server are written in Go, ensuring high performance and cross-platform compatibility for data processing and synchronization.
- Storage: Local data is stored in standard Markdown files, supplemented by JSON files for metadata management, making it easy for users to access and migrate data with other tools.
- Architecture Highlight: Adopts a local-first + optional cloud sync architecture, separating core logic from the UI. The Go backend acts as a data engine, interacting with the frontend via HTTP API. This design naturally supports desktop and mobile platforms and facilitates secondary development or self-hosted service setup.
Quick Start Guide
- Desktop: Visit the GitHub Releases page, download the installer for your operating system (Windows/macOS/Linux), and install it directly.
- Mobile: Search for "思源笔记" (Siyuan Notes) in the iOS App Store or Android app store and install.
- Docker Self-Hosting:bashAfter starting, access
# Pull the image and run it, data is saved in the /siyuan/workspace directory in the current path docker run -d --name siyuan -v $(pwd)/siyuan/workspace:/siyuan/workspace -p 6806:6806 b3log/siyuanhttp://localhost:6806to use it.
Strengths, Weaknesses, and Use Cases
Strengths:
- Extreme Privacy and Control: All data is stored locally with no mandatory cloud service, making it the top choice for privacy-sensitive users.
- Comprehensive Features and Excellent Performance: Integrates a vast array of features like notes, bidirectional links, databases, PDF, OCR, and AI. The Go backend ensures smooth operation even with a massive number of notes.
- Active Community and Rich Ecosystem: Has a large user and developer base. The marketplace offers a wide variety of themes, templates, and widgets.
Weaknesses:
- Steep Learning Curve: With numerous features, concepts like block-level operations and property panels take time to master.
- Sync Requires Self-Configuration: While supporting multiple sync methods, the official cloud sync service (paid) offers the best experience. Free users need to set up their own WebDAV or S3 service, which has some entry barrier.
Use Cases:
- Personal Knowledge Management Enthusiasts: Ideal for geeks who prioritize absolute data security and enjoy tinkering with self-hosted solutions.
- Academic Researchers and Technical Writers: Powerful block referencing, Markdown support, and content management are excellent for organizing complex knowledge systems.
- Small Teams: Can achieve team knowledge base sharing by self-hosting a server, balancing data security and collaboration needs.
Community and Popularity
- Stars & Forks: The project has 43,748 Stars and 3,850 Forks, making it a star project in the knowledge management field with extremely high popularity.
- Update Frequency: The project is very active, with the last update on 2026-05-09. There are commits or issue resolutions almost daily, indicating rapid bug fixes and feature iteration.
- Community Atmosphere: Has an independent community forum and documentation site. Users actively discuss, and developers respond quickly. The "marketplace" ecosystem also proves the community's vitality and contribution.
Technical Information
- 💻 Language: TypeScript
- 📂 Topics: anki, chatgpt, deepseek, electron, evernote
- 🕐 Updated: 2026-02-10
- 🔗 Visit GitHub Repository
Data updated on 2026-05-09 · Star count based on actual GitHub data