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Saying Goodbye to Tool Fragmentation: How to Use AFFiNE to Unify Documents and Whiteboards

TuBrief Editorial
March 6, 2026
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Computing/Software

Written with AI assistance from the source video. The video is the authority.

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Saying Goodbye to Tool Fragmentation: How to Use AFFiNE to Unify Documents and Whiteboards

Are you losing context by switching windows dozens of times a day? Writing planning drafts in Notion, drawing architecture in Miro, and managing schedules in Jira is the height of inefficiency. Information scatters in every direction, and data quickly becomes obsolete. AFFiNE, which has surged in popularity with 63,000 GitHub stars, emerged to solve this chronic problem. Beyond being a simple collaboration tool, we analyze its facets as a KnowledgeOS that guarantees data sovereignty.

Edgeless Mode: A Workspace Without Boundaries

Existing tools separate text documents and visual whiteboards into distinct files. However, our thinking is not that disconnected. The core of AFFiNE lies in its Edgeless technology, which allows you to view the same data from two different perspectives.

Detailed technical specifications written in Page Mode can be converted into the infinite canvas of Edgeless Mode with a single click. Text blocks become objects that can be freely arranged on the canvas, while their logical order is maintained through index numbers. Conversely, complex system diagrams drawn on the canvas can be grouped into frames and instantly inserted as a section of a document.

What enables this magical transition is the Rust-based OctoBase engine. Specifically, by adopting y-octo, a high-performance CRDT library, it implements real-time editing without latency even in large-scale documents. The Local-first philosophy is embedded here, ensuring that even if you work offline, data merges seamlessly without conflicts the moment you reconnect.

A Practical Guide to Docker Self-Hosting for Data Sovereignty

If you are uneasy about entrusting precious corporate data to cloud services, self-hosting is the answer. While the initial setup is more cumbersome than simply signing up, the advantage of having complete data ownership is overwhelming.

Infrastructure Requirements

To run smoothly, a minimum of 2 vCPUs and 4 GB RAM is required. For team-level operations, you should secure at least 8 GB of memory to prevent containers from crashing. A database of PostgreSQL version 16 or higher and Redis for caching are essential.

Optimized Installation Process

First, create a working directory and download the latest configuration file.