Fabric vs. Claude

Last updated April 2026

Claude is one of the best conversational AI models in the world. Fabric uses it. That's the first thing to understand about this comparison: Fabric and Claude aren't opposed. Claude is one of the models Fabric's AI assistant can use. A Claude user can also connect Fabric as a content source via MCP. They work together. But if you're choosing between using Claude directly and using Fabric as your workspace, the difference is between a chatbot with access to your local files and a personal cloud that understands everything you've saved.

Comparison table

What is Claude?

Claude is Anthropic's conversational AI assistant. It's widely regarded as one of the best AI models available for reasoning, writing, and code. The free plan handles basic conversations. Pro at $20/month unlocks higher usage, Projects, and Claude Code. Max at $100-200/month adds significantly more capacity. Team and Enterprise plans add collaboration and admin controls. Claude can read uploaded files within conversations, remember preferences across chats via its memory feature, search the web, execute code, and generate documents and visualisations as Artifacts. It's a powerful AI you talk to. It's not a place where your content lives.

What is Fabric?

Fabric is an AI workspace that combines file storage, note-taking, search, tasks, collaboration, and publishing. The Fabric Memory Engine automatically extracts, enriches, and maps relationships between everything you save. Fabric uses multiple AI models, including Claude, under one subscription. Where Claude is a conversation partner you bring files to, Fabric is a personal cloud where your files already live and the AI already understands them.

Key differences

A chatbot vs a personal cloud

Claude is a conversation interface. You open a chat, upload a file or reference a Project, ask questions, get answers. The AI is excellent. But when the conversation ends, the file goes back to wherever it came from. Your knowledge lives on your computer, in Google Drive, in Dropbox. Claude visits it when you bring it into a chat.

Fabric is where your knowledge lives. Everything you save is stored, extracted, enriched, and indexed permanently. The AI understands your library without you uploading anything into a conversation. You don't bring files to the AI. The AI already has them. That's the difference between a chatbot with file access and a personal cloud with built-in intelligence.

Memory

Claude's memory stores preferences and details from past conversations: your name, your role, your preferences, things you've told it. It's personalisation. It helps Claude tailor responses. It doesn't index the contents of files you've uploaded or build a searchable, connected library from your past interactions.

Fabric's Memory Engine extracts, enriches, and maps relationships between every file you save. The AI understands what's inside your documents, not just what you've told it about yourself. You can ask a question that spans your entire library. Fabric's memory is structural. Claude's memory is conversational.

Search

Claude searches past chats by keyword. You can find a conversation you had. You can't semantically search across files you've uploaded into previous Projects or chats.

Fabric searches by meaning across everything. Semantic search finds content by what it's about. Visual search finds similar images. Colour search finds assets by palette. In-document search goes to the page, slide, or timestamp. Cross-platform search pulls from Google Drive, Notion, and Dropbox alongside your Fabric library.

Model access

Claude gives you Claude. The Opus, Sonnet, and Haiku model family. If you want a different model, you use a different product.

Fabric gives you access to multiple AI models under one subscription. Claude is one of them. You're not locked into a single provider.

Content types and persistence

Claude handles text, images, PDFs, and code within conversations. Files upload into chats or Projects. They're available within that context. They're not part of a persistent, growing library that the AI indexes and connects across your entire body of work.

Fabric stores everything permanently. PDFs, images, video, audio, documents, slides, spreadsheets, ePubs, links, emails. All extracted, enriched, searchable, and AI-queryable. Your library compounds. Claude's conversations accumulate. These are different things.

Collaboration

Claude's Team and Enterprise plans allow shared Projects with uploaded files and custom instructions. There's no real-time co-editing on documents, no annotations on media, no shared drives, no threaded comments on content.

Fabric supports real-time co-editing on documents and canvases, pinned annotations on any content type, threaded comments, in-context chat, and shared drives.

Visual interface

Claude is a chat window. Artifacts generate documents and visualisations inline. But there's no spatial canvas, no visual organisation of content, no way to arrange and explore ideas spatially.

Fabric has a spatial canvas for visual thinking and moodboarding with real-time multiplayer. Plus Spaces, folders, tags, kanban, and multiple view modes. Content has a visual, navigable home.

Publishing

Claude lets you share chat links. No analytics, no password protection, no stakeholder tracking.

Fabric lets you publish or share anything with one click. Built-in analytics, password protection, stakeholder-specific links.

How they work together

This isn't strictly either/or. Two real integration paths exist:

Fabric uses Claude as a model. Fabric's AI assistant can run on Claude (among other models). You get Claude's reasoning quality on top of Fabric's content library, search, and workspace features. Claude's intelligence, Fabric's memory.

Claude connects to Fabric via MCP. If you prefer working in Claude's interface, you can connect your Fabric library as a data source through MCP. Claude gains access to everything you've saved in Fabric. Your Fabric library becomes context Claude can draw from. The conversation happens in Claude. The knowledge lives in Fabric.

When to use each

Use Fabric if you want a persistent workspace where your content lives, grows, and compounds. You need your AI to understand your entire library without re-uploading files into each conversation. You want semantic search, collaboration, publishing, spatial canvases, meeting transcription, and tasks alongside your AI. You want access to multiple models including Claude. Your knowledge needs a home, not just a conversation partner.

Use Claude directly if you need the best conversational AI for one-off tasks: writing, coding, analysis, debugging, brainstorming. You don't need persistent content storage or search across a growing library. Your workflow is conversation-first. You bring context to the chat and take the output elsewhere.

Use both. Connect Fabric to Claude via MCP and get the best of each. Fabric as the knowledge layer. Claude as the conversation layer. Or use Claude as one of the models inside Fabric's AI assistant. Either way, they complement each other.

Why people move from Claude to Fabric

Conversations didn't compound. Hundreds of chats, each starting from scratch. Uploading the same files into new conversations. Fabric's library means the AI already knows what you've saved. No re-uploading, no re-explaining.

They needed their content in one place. Files on their computer, in Google Drive, in email. Claude could access them temporarily in a conversation. Fabric stores them permanently in a searchable, connected library.

They wanted more than chat. Notes, collaboration, publishing, spatial canvases, meeting transcription, tasks. Claude is a conversation. Fabric is a workspace.

They wanted search across their knowledge. Finding things by meaning across everything they've saved, not by scrolling through chat history. Fabric's semantic search solves this.

They wanted visual organisation. Spatial canvases, kanban views, folders, tags. Claude is a chat window. Fabric gives content a visual, navigable structure.

FAQs

Can I use Claude inside Fabric?

Yes. Fabric's AI assistant supports multiple models, including Claude. You get Claude's reasoning quality applied to your entire Fabric content library.

Can I connect Fabric to Claude via MCP?

Yes. Fabric offers an MCP server. You can connect your Fabric library to Claude as a data source, giving Claude access to everything you've saved in Fabric.

Is Fabric free?

Fabric has a free tier with limited storage and AI. Claude also has a free tier with limited usage.

Is Claude's AI better than Fabric's?

Claude is one of the AI models Fabric uses. Fabric isn't competing with Claude's model quality. It's providing the workspace, content library, and search layer that Claude doesn't have. They serve different roles.

Does Claude store my files like Fabric does?

Claude's Projects can hold uploaded files for reference within that Project's conversations. It's not a persistent, growing library with automatic extraction, enrichment, and relationship mapping. Fabric is.

Do I need both?

Not necessarily. If you want one workspace that includes Claude's AI alongside file storage, search, collaboration, and publishing, Fabric covers that. If you prefer Claude's direct interface for conversations and want your Fabric library available as context, MCP connects them. The choice depends on whether you want the workspace to wrap around the AI, or the AI to stand on its own.