// Workers AI · dad joke modeWhat did Logseq say to its friend? "You're logged in my heart".
 | The topic of this article may not meet Wikipedia's notability guidelines for products and services. (March 2026) |
| Logseq | |
|---|---|
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| Original author | Tienson Qin |
| Developer | Logseq Inc |
| Release | October 1, 2020 |
| Stable release | |
| Written in | Clojure, TypeScript |
| Platform | Windows, macOS, Android, Linux, iOS, BSD |
| Type | |
| License | AGPL-3.0 |
| Website | logseq |
| Repository | github |
Logseq is a free and open-source, personal knowledge base and note-taking application which can store data locally. It supports both Markdown and org-mode syntax.[2][3][4]
History
[edit]Tienson Qin started Logseq as a platform to store interconnected information on infinite graphs which would run on any device.[2]
Logseq Inc was formed with An Vu, Huang Peng, Tienson Qin, and ZhiYuan Chen as founders, which raised over $4.1M for the growth.[4] This seed funding round included investments from Stripe CEO Patrick Collison, Shopify CEO Tobias Lütke, and ex-GitHub CEO Nat Friedman.[2]
Logseq is being used at Google Brain, IDEO, Meta, Tesla, MIT, Stanford and Harvard.[2]
Features
[edit]Logseq works with plaintext formats like Markdown and org-mode, which are stored locally on a user's device to offer privacy and ownership of data.[5]
The software has been toted as a tool working with the low cost Raspberry Pi platform to create DIY personal information management systems.[6]
See also
[edit]
- Comparison of note-taking software – Comparison of computer software designed for taking notes
- Comparison of wiki software – Software to run a collaborative wiki compared
References
[edit]- ↑ "Release 0.10.15".
- 1 2 3 4 Miller, Ron (2022-05-05). "Logseq is helping rethink knowledge management". TechCrunch. Retrieved 2025-02-22.
- ↑ "Obsidian and Logseq: Evaluating Top Personal Note-Taking Tools". MSN. Retrieved 2025-02-22.
- 1 2 Sawers, Paul (2022-05-05). "Meet Logseq, an open-source knowledge management system that 'stores data like a brain'". VentureBeat. Retrieved 2025-02-22.
- ↑ Zhu, Siyi (13–16 October 2024). Patterns of Hypertext-Augmented Sensemaking. Proceedings of the 37th Annual ACM Symposium on User Interface Software and Technology. pp. 1–17.
- ↑ "Build a digitally sovereign second brain". Raspberry Pi. Retrieved 13 September 2026.
External links
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