--- id: 6ab3f77eadbf264a54522955 title: '2Ryun vs Fabric: a smart workspace, or knowledge that actually ships?' parentId: 6ab3ea6fecfbe62100fb181e rootId: 6a74488c985a7e097152c04c author: Rain createdAt: 2026-09-23T15:59:58.537Z updatedAt: 2026-09-23T16:02:17.940Z --- # 2Ryun vs Fabric: a smart workspace, or knowledge that actually ships? *Last updated: 2026-09-22* Fabric is a beautiful AI workspace that organizes everything you save and answers across it. 2Ryun is a knowledge base that turns the same knowledge into websites, shareable graphs, and chatbots the world can find. One keeps your knowledge inside; the other sends it out. ## Capability comparison | | | Dimension | | | | | 2Ryun Knowledge Base | | | | | Fabric | | | | | | **Core form** | | | | | AI-native knowledge base — write docs in, knowledge grows out | | | | | Cloud AI workspace for saved content | | | | | | **Where knowledge comes from** | | | | | Docs / web / multi-format in; AI auto-extracts entries & builds relations | | | | | Save anything → auto-extract / enrich / relate | | | | | | **How knowledge forms** | | | | | *Grows* | — AI extracts entries, builds links, surfaces gaps automatically | | | | | *Organized* | — auto-tagged & related, but you still curate structure | | | | | | **Output / publishing** | | | | | ✅ generate web pages / spin up a chatbot / API — knowledge goes | *out* | | | | | One-click publish + analytics, but | **within the workspace** | | | | | | **Externally searchable / AI-citable** | | | | | ✅ shareable graph pages; every shared page is SEO/GEO-optimized | | | | | No concept of an externally searchable, AI-citable asset; no GEO | | | | | | **Search & recall** | | | | | Semantic + graph traversal across the whole base; cited answers | | | | | Semantic, visual, in-document, cross-platform (Drive/Notion/Dropbox) | | | | | | **Relations / graph** | | | | | ✅ auto-built knowledge graph; shareable public graph page | | | | | Auto-relations, but graph is internal navigation, not a publishable asset | | | | | | **Data sovereignty** | | | | | ✅ export Markdown / PDF / DOC / PNG; entries & graph exportable | | | | | Cloud SaaS; export available but cloud-bound | | | | | | **Collaboration** | | | | | Shared knowledge base; co-edit docs; chatbot shared | | | | | Real-time co-editing, annotations on media, comments, shared drives | | | | | | **Integrations / ecosystem** | | | | | API + export; built to feed websites & chatbots from the same source | | | | | MCP, API, CLI, Zapier, Drive, Notion, Dropbox, GitHub, Raycast | | | | | | **AI capability** | | | | | Contextual to your whole base; answers cite specific entries | | | | | Multi-model AI across your library; contextual Q&A | | | | | | **Audience** | | | | | People who want knowledge to become | *outward* | assets (sites, chatbots) | | | | | Researchers / individuals wanting a tidy organized workspace | | | | | | **Pricing** | | | | | Free to use (core); we say "free to use," not "free forever" | | | | | Free tier includes core features | | | ## What is Fabric? Fabric is a cloud AI workspace built around your files. Save a PDF, an image, a video, a link, an email — Fabric's "Memory Engine" automatically extracts, enriches, and maps relationships between everything. Where a traditional note app asks you to *build* structure (folders, tags, databases), Fabric *figures out what things are and how they connect* without you setting it up. It is strong on input diversity: it handles PDFs, video, audio, slides, spreadsheets, ePubs, and emails as first-class content, and its search is genuinely broad — semantic, visual, colour, and in-document (search inside a PDF to the page, inside a video to the timestamp). Publishing exists: one-click share with analytics and password protection. It integrates with the tools around it (Drive, Notion, Dropbox, GitHub). The mental model: **Fabric is the place your work lives, and it understands what's inside.** ## What is 2Ryun Knowledge Base? 2Ryun is an AI-native knowledge base whose defining trait is the outward direction: documents go in, structured knowledge grows out, and that knowledge becomes assets — a web page search engines index, a shareable graph page, an on-site chatbot. Outward publication is the whole point — not a share link that stays inside the workspace. - a **web page** that regenerates when its source doc changes, with SEO/GEO baked in; - a **shareable 2D/3D knowledge graph page** where every entry traces back to its source document (content, summary, origin file, exact location); - a **same-source chatbot** on your site that updates the moment its source doc changes. But 2Ryun's real edge isn't "can publish" — it's **automatic knowledge activation**: you drop in documents and the AI extracts entries, de-duplicates and merges them, flags gaps and highlights, so the knowledge base grows and self-improves, ready to use anytime. Publishing outward is just one facet of that capability — shared pages are SEO/GEO-optimized by default — and we hold our own on document editing too (a Tiptap-based editor, 20+ block types, doc trees, themes, multi-format import/export), then layer an auto-growing knowledge base on top. ## Key differences ### 1. Knowledge stays in vs knowledge goes out This is the core split. Fabric's publishing keeps you inside Fabric — you share a link, you get analytics, but the asset lives on Fabric's domain and isn't built to be discovered by Google or cited by an AI engine. 2Ryun treats *outward publication as a first-class output*: the knowledge base is the source, the website and chatbot are its projections. If your goal is "my knowledge should be findable by the world," only one of these does that natively. ### 2. Organized vs grown Both auto-relate content. The nuance: Fabric organizes what you saved; 2Ryun *grows* structure by extracting discrete knowledge entries and actively flagging what's missing or contradictory. The "knowledge grows out" framing isn't marketing — it's the architectural claim that value accrues *without* you manually curating databases or folders. ### 3. Search vs recall-with-citation Fabric's search is broader across file *types* (video, audio, images). 2Ryun's recall is tied to the extracted knowledge graph and is built to answer *with citations to specific entries* — which is what makes the outward assets trustworthy and GEO-friendly. Different strengths: Fabric finds the file; 2Ryun finds the point and shows you where it came from. ### 4. Data sovereignty Both let you export. 2Ryun's position is explicit and absolute: documents export as Markdown / PDF / DOC / PNG, and the knowledge *entries and graph data* export too. There is no "saved it, can't get it out." Fabric is cloud SaaS — export exists, but your library is cloud-bound by design. ### 5. Where Fabric is genuinely stronger Be honest: Fabric wins on **input format richness and visual/search spectacle** (semantic + visual + colour + in-video search is a real differentiator), and on **polish of the in-workspace experience** (annotations on any media, spatial canvas, smooth cross-platform aggregation). If what you want is a beautiful, intelligent *home* for diverse media, Fabric is excellent. 2Ryun's bet is that most people ultimately want their knowledge to *leave the building* — and that's where it pulls ahead. ## When to use each **Use Fabric if** you collect diverse media (video, audio, images, PDFs) and want an AI that understands all of it inside one tidy workspace, with strong visual and cross-platform search — and you're happy staying within that workspace. **Use 2Ryun if** you want your knowledge to become *outward assets*: a website search engines index, a shareable graph page, and a chatbot — all from one source, with SEO/GEO baked in. **Use both.** Fabric can be where rich media is captured; 2Ryun can be where knowledge is structured and then published. They're not mutually exclusive. ## Why teams move from Fabric to 2Ryun - **They need outward assets.** A Fabric share link isn't a website Google ranks or an AI engine cites. Teams that want their knowledge *found* hit that wall. - **They want one source feeding many outputs.** Same knowledge → site + chatbot, no duplicate maintenance. - **They want citations as a feature.** 2Ryun's answers point back to specific entries, which builds trust and supports GEO. ## Honest FAQ **Q: I'm on Fabric — should I switch**?Not necessarily. If an organized in-workspace home for your media is all you need, Fabric is great. 2Ryun adds the layer Fabric structurally lacks: turning knowledge into outward, searchable, AI-citable assets. **Q: Is my data locked in**?No. Everything in 2Ryun exports in multiple formats, including the knowledge entries and graph. Nothing is trapped. **Q: What's free**?Core capabilities are free to use (exact scope on the site). We say "free to use," not "free forever." **Q: Does 2Ryun handle video/audio like Fabric**?2Ryun centers on documents and structured knowledge; rich-media parsing depth differs. Pick the tool that matches what you mostly save. **Q: Can 2Ryun replace Fabric**?If your goal is "knowledge becomes a website + chatbot," yes. If your goal is "one beautiful workspace that understands every media type," Fabric still leads on the media side. **Q: Which is better for a team**?Fabric has strong in-workspace collaboration. 2Ryun's team strength is shared knowledge → shared outward assets (site + bot). Depends whether your team's work is *internal* or *published*. ## Migrating from Fabric in 5 steps - Export your key notes / docs from Fabric - Sign up on 2ryun.com, then import (or create/paste) documents — no manual knowledge-base setup; docs in, the base grows on its own - Let AI auto-extract entries and build relations - Pick a piece of content → generate a web page / launch a chatbot - Bind a custom domain and publish ## Start free **Sign up → save your first doc**, free to use: 2ryun.com #