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Open source alternative to Notion, Roam Research and Coda
A privacy-first, open-source knowledge base platform for knowledge management and collaboration, focusing on outlining and linking.

Capture daily notes, highlights, backlinks, and project thoughts in a local-first graph.
You need a shared workspace database for a large team.
Use outlines and backlinks to connect technical notes, tasks, and references over time.
You prefer visual whiteboards or document-first writing.
Logseq structures notes as linked blocks and outlines, which fits research journals, meeting notes, and incremental knowledge capture.
Users can keep their graph local instead of putting all notes into a hosted workspace database.
The README discusses DB graphs and real-time collaboration work, giving current users a path toward richer collaboration.
Logseq can replace Notion for personal knowledge management and linked notes. Notion remains stronger for shared databases and team collaboration.
Both use linked blocks and graph thinking, but Logseq is open source and local-first.
Local-first workspace combining docs, whiteboards, and notes
Block-based notes with backlinks and end-to-end encrypted sync
Open source Notion alternative with AI, self-hosted
Self-hosted hierarchical notes with backlinks and encrypted sync
Local-first self-hosted alternative to Notion and Linear
Centralize wikis, docs, and project tasks in a self-hosted workspace.
Team workspace tools are often too heavy for personal research, while plain notes can lose relationships between ideas. People who think in outlines, backlinks, and daily journals need a knowledge base that keeps notes local and connects ideas over time.
Logseq is better for local-first outliner workflows, linked blocks, and graph-based personal knowledge management. Notion is stronger for hosted team databases and polished collaboration, while Roam remains familiar for users who want a hosted outliner. Logseq fits researchers and builders who want notes stored closer to their own files.
Yes. Logseq is designed around local-first graphs, with sync and collaboration features evolving separately.