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logseq — Self-host A privacy-first, open-source platform for knowledge management and collaboration
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logseq

logseq — Self-host A privacy-first, open-source platform for knowledge management and collaboration

A privacy-first, open-source platform for knowledge management and collaboration. Download link: http://github.com/logseq/logseq/releases. roadmap: https://logseq.io/p/NX4mc_ggEV

42.7k🍴 2.6kClojure📜 agpl-3.0#clojure#clojurescript#git#graph

logseq

A privacy-first, open-source platform for knowledge management and collaboration. Download link: http://github.com/logseq/logseq/releases. roadmap: https://logseq.io/p/NX4mc_ggEV

42,659 stars on GitHub · 🍴 2,607 forks · 📜 License: agpl-3.0 · 💻 Language: Clojure

What is logseq?

Privacy-first knowledge management is where Logseq stands out: it gives you an outliner, backlink-based notes, and a graph model without forcing your data into a vendor-owned cloud. It is especially strong if you like Markdown, local-first workflows, and building a long-term personal knowledge base you can actually inspect and back up.

Main components

  • Local-first knowledge graphs built around Markdown files, backlinks, pages, blocks, and references.
  • Outliner-first editor for daily notes, meeting notes, research logs, tasks, and structured thinking.
  • Graph view and linked references to surface relationships between ideas, projects, people, and documents.
  • Cross-platform desktop and mobile apps, with releases available from GitHub.
  • Plugin API and community plugin ecosystem for extending workflows, themes, publishing, task management, and automation.
  • Experimental DB graph version with SQLite-backed storage, new mobile work, and real-time collaboration in alpha.

Clear use cases

  • Build a personal note vault portable across desktop and mobile while keeping the underlying data local.
  • Run an engineering journal with daily notes, incident writeups, architectural decisions, and backlinks between services, tickets, and systems.
  • Manage research notes for books, papers, customer calls, or security investigations using block references instead of flat folders.
  • Track personal tasks and project plans inside the same graph as your notes, avoiding a hard split between todo lists and documentation.
  • Create a private team knowledge base for small groups that want open tooling and are comfortable handling sync and backups themselves.

The biggest strength is local-first, linked knowledge management without lock-in — Logseq gives you much of the appeal of tools like Roam Research, Notion, and Obsidian-style graph notes, but keeps the core workflow centered on files, links, and user control. For developers and sysadmins, that matters: Markdown-based notes can live in Git, be backed up with normal infrastructure, and survive a product pivot. Commercial tools often win on polish and hosted collaboration, but Logseq wins when ownership, portability, and inspectability are non-negotiable.

The trade-off is that Logseq is not the simplest note app, and its more ambitious DB graph and real-time collaboration work is still maturing. If you need a polished company-wide wiki with permissions, admin controls, and guaranteed hosted sync, you may be happier with a commercial documentation platform. But if you want a serious open-source thinking environment that rewards structured notes, backlinks, and daily capture, Logseq is one of the strongest options available.

Best for developers, researchers, technical writers, consultants, and privacy-conscious power users who want a local-first knowledge graph they can own, back up, and extend.

Topics: the project is tagged with popular topics:

  • 🏷️ clojure
  • 🏷️ clojurescript
  • 🏷️ git
  • 🏷️ graph
  • 🏷️ knowledge-base
  • 🏷️ knowledge-graph
  • 🏷️ local-first
  • 🏷️ markdown
  • 🏷️ note-taking
  • 🏷️ org-mode

📸 Screenshots

logseq

logseq

Quick install

See the README for detailed install instructions. Most projects support Docker — if the repo has a Dockerfile, use:

git clone https://github.com/logseq/logseq.git
cd logseq
docker build -t logseq .
docker run -d -p 8080:8080 logseq

Minimum system requirements

Component Recommended
RAM 2048 MB
CPU 2 vCPU
Disk 25 GB SSD
OS Ubuntu 22.04 LTS / Debian 12
Docker 24.0+

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Resources


Article compiled from GitHub data on 05/05/2026. Star/fork counts may have changed — see live numbers via the GitHub link.