siyuan-note/siyuan

An open-source, privacy-first, self-hosted knowledge workspace where humans and AI agents work together 开源、隐私优先、自托管的知识工作空间,让人与智能体在此协作

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siyuan-note/siyuan has 46k+ stars and 3k+ forks on GitHub, is written in TypeScript, and was last pushed on Oct 18, 2026. Data as of . Signed-in members get hourly updates — create a free account.

Summary Information

Updated 34 minutes ago
Added to GitGenius on August 31st, 2026
Created on August 30th, 2020
Open Issues & Pull Requests: 7 (+0)
GitHub issues: Enabled
Number of forks: 3,075
Total Stargazers: 46,827 (+0)
Total Subscribers: 191 (+0)

Repository Insights (GitGenius)

Maintainer activity

9 people did triage or write work on this repository in the last 12 months.

Counts unlabeled, assigned, unassigned, milestoned, demilestoned, locked, unlocked over the last 12 months. These are issue and pull request events that require triage or write permission. Commits and code review are not counted. labeled and renamed are excluded because GitHub issue forms record the issue author as the actor. Figures from October 18, 2026. This count is not comparable across projects: each project's automation decides which of these events a person emits. How this is counted.

How this project is maintained

Around half of the issues opened in the past year never receive a reply. 100% of issues opened in the past year have since been closed. Three people close 97% of everything that gets resolved.

Charts & Analytics

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Issue Activity (beta)

Open issues: 8
New in 7 days: 168
Closed in 7 days: 169
Avg open age: 339 days
Stale 30+ days: 0
Stale 90+ days: 0

Recent activity

Opened in 7 days: 143
Closed in 7 days: 142
Comments in 7 days: 338
Events in 7 days: 1,168

Top labels

  • Enhancement (7,219)
  • Bug (3,609)
  • Development (483)
  • Feature (328)
  • Refactor (202)
  • Document (76)
  • Abolishment (75)
  • Idea (75)

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Detailed Description

SiYuan is a self-hosted, privacy-first knowledge workspace application that integrates AI agents into note-taking and personal knowledge management.

The tool addresses the need for a local-first alternative to cloud-dependent note-taking systems by providing a self-contained workspace where users retain full control over their data. It combines traditional note-taking with knowledge graph capabilities and AI agent integration, allowing both humans and AI to collaborate within the same workspace. The application supports markdown-based content, PDF handling, and can sync data via WebDAV or S3-compatible storage. It runs as a desktop application via Electron and can also be deployed as a self-hosted server using Docker.

Developers and knowledge workers who prioritize privacy and data ownership should consider this tool, particularly those already comfortable with markdown-based workflows or who want to avoid vendor lock-in with commercial note-taking platforms. It suits personal knowledge management, digital gardens, and collaborative scenarios where AI agents need structured access to a knowledge base. The project distinguishes itself through its emphasis on local-first operation combined with agentic AI capabilities and support for the Model Context Protocol, enabling integration with AI tools while maintaining data sovereignty.

The project maintains steady development activity with regular commits and closed pull requests. The codebase is written primarily in TypeScript and is distributed as open-source software. The tool is available across multiple platforms including desktop and server deployments, with Docker support for containerized self-hosting.