Wiki-Go
A modern, feature-rich, databaseless flat-file wiki platform.
- Wikis & Knowledge Bases
- Go
- GPL-3.0
- Docker
- Actively maintained
GitHub stats
- GitHub stars
- 618
- Forks
- 54
- Open issues
- 33
- Commits, last 12 months
- 183
- Last commit
- Sep 25, 2026
- Latest release
- v1.9.2Sep 22, 2026
- Created
- Apr 4, 2025
Data from the GitHub API, refreshed daily.
About Wiki-Go
A modern, feature-rich, databaseless flat-file wiki platform. Wiki-Go is open source under the GPL-3.0 license and written mainly in Go, so you can read the code, run it on your own hardware and keep full control of your data.
The project has 618 stars and 54 forks on GitHub, with 183 commits over the last year. It ships a Docker image, which makes it a good fit for a small VPS or a home server running Docker Compose.
Topics
- access-control
- collaboration
- docker
- documentation
- file-based-storage
- full-text-search
- golang
- kanban
- knowledge-base
- markdown
Repository preview
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What is Wiki-Go?
Wiki-Go is a free, open-source app you can host on your own server, listed in our Wikis & Knowledge Bases category. A modern, feature-rich, databaseless flat-file wiki platform. The source code lives at github.com/leomoon-studios/wiki-go, where it has 618 stars.
Is Wiki-Go free and open source?
Yes. Wiki-Go is open-source software released under the GPL-3.0 license, so you can self-host it at no cost. You only pay for the server it runs on, and some projects also offer an optional paid cloud plan.
Can I run Wiki-Go with Docker?
Yes. Wiki-Go provides a Docker image, so you can run it on any Linux server with Docker and Docker Compose installed. The project README lists the image name and the environment variables to set.
What are the best alternatives to Wiki-Go?
Popular open-source alternatives to Wiki-Go include SiYuan, Outline and Wiki.js.
Is Wiki-Go actively maintained?
The most recent commit to Wiki-Go was on Sep 25, 2026 with 183 commits in the past twelve months. The latest release is v1.9.2, published Sep 22, 2026. Check the open issues on GitHub to gauge how quickly maintainers respond.