Logseq
Open-source, privacy-first local outliner and knowledge graph for personal knowledge management.
Why consider Logseq?
Logseq is an open-source, privacy-first knowledge management and outliner platform that operates on local plain-text Markdown and Org-mode files.
Learn Logseq by building
Practical setup notes, real use cases, and copy-ready examples in one focused guide.
In this guide3 sections
Getting Started with Logseq for Knowledge Management
Logseq provides a privacy-first, open-source platform for knowledge management and collaboration designed for local-first workflows. Unlike proprietary cloud-based note-taking platforms that store user notes on remote vendor servers, Logseq treats your local file system as the primary source of truth. The official platform homepage presents Logseq as an open-source knowledge base centered around privacy and user data control, giving users full sovereignty over their personal notes, documents, and structured outlines through the Logseq Homepage and the project Logseq Repository.
At its structural foundation, Logseq organizes information into linked outliner nodes and bidirectional references using open plain-text formats such as Markdown and Org-mode. The core codebase is published under the copyleft GNU Affero General Public License Version 3 to guarantee user freedom, ensuring that the software remains open, inspectable, and community-driven as defined in the official Logseq License.
Running Logseq via Docker Container
For environments where running a local desktop client is impractical or where multi-device browser access within a local network is preferred, Logseq offers containerized distribution. Logseq provides official pre-built container packages through the GitHub Container Registry as a deployable web application image, simplifying self-hosting for teams and homelab enthusiasts according to the Logseq Docker Guide. The web application utilizes the File System Access API to interact directly with local file systems in compatible web browsers, allowing users to select local directories and persist changes directly on disk without intermediary cloud servers.
To pull and launch the container on your local workstation, run the official container deployment commands:
docker pull ghcr.io/logseq/logseq-webapp:latestdocker run -d --rm -p 127.0.0.1:3001:80 ghcr.io/logseq/logseq-webapp:latestOnce the container starts, open the published port in a supported modern browser. When prompted by the browser interface, grant directory access permissions so that Logseq can load an existing notes folder or initialize a new workspace on your storage volume as outlined in the Logseq Docker Guide.
Setting Up the Local Development Environment
Developers interested in building custom extensions, testing emerging capabilities, or contributing to the core outliner engine can compile the project from source. Setting up a local development environment requires cloning the official GitHub repository before executing build or development workflows, as detailed in the official Logseq Development Guide. Ensure that your system meets the basic prerequisites, including an active installation of Node.js, the pnpm package manager, Java, and the Clojure tooling environment.
Clone the official source repository and navigate into the newly created project root:
git clone https://github.com/logseq/logseqcd logseqDevelopers can launch the browser development server by installing dependencies and initiating the hot-reloading watch process with pnpm. This workflow compiles ClojureScript namespaces via shadow-cljs and serves the live development client on port 3001, as outlined in the Logseq Development Guide.
Execute the following commands to install dependencies and run the live watch environment:
pnpm installpnpm watchTracking Releases and Cross-Platform Distribution
Logseq supports multi-platform operation across desktop environments including Linux, macOS, and Windows, as well as mobile operating systems like Android. Automated nightly builds and desktop installer artifacts are generated regularly for testing cross-platform features, allowing early adopters and developers to evaluate new database-backed features and bug fixes published on the Logseq Releases Tag. For users seeking established stability, release tags provide reproducible binary packages alongside signed SHA256 checksums to verify package integrity before installation.
Whether managing daily journal entries, structuring research literature, or building interconnected project task lists, Logseq combines the flexibility of an outliner with graph-based queries and local file longevity. To explore feature roadmaps, community plugins, and developer discussions, visit the official Logseq Repository and review the Logseq Readme.
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