# AI Context Flow > **TL;DR** AI Context Flow is the product that makes your context useful. It captures what you know and care about, helps you organizes it into memory buckets, lets you control what gets shared, and exposes it to your AI agents through the Plurality MCP Server. ### What it is AI Context Flow is the application layer of the Open Context Layer. If memory buckets are the underlying primitive — encrypted, user-owned containers of context — then AI Context Flow is how you actually create, fill, and use them in everyday work. ### Two parts of AI Context Flow * **Memory Studio:** The [dashboard](https://app.plurality.network/) where you can see your memory buckets, edit it, share them with friends, and more. Memory studio is your command center. * **Browser Extension:** The [chrome extension](https://chromewebstore.google.com/detail/ai-context-flow-use-your/cfegfckldnmbdnimjgfamhjnmjpcmgnf) that lets you capture information from any webpage, helps you optimize your prompts with the correct context, and gives you a sidebar that you can open on any website and cross reference the page's content with what you have stored in your memory. Together, these two parts combinedly are what we refer to as the "AI Context Flow".\ \ See the video below to see what AI Context Flow offers. {% embed url="" %} ### What it does AI Context Flow handles four jobs. #### 1. Capture Pull context in from the places it already lives — past or new AI chats, documents, notes, webpage highlights, etc. You don't have to manually type out who you are or what you're working on; AI Context Flow ingests, deduplicates, and structures it. #### 2. Organize Sort what you've captured into the right memory bucket. You might have one bucket for work, one for a side project, one for personal life. AI Context Flow lets you put things where they belong, and you decide what stays, what moves, and what gets deleted. #### 3. Permission Decide what each AI agent or other users are allowed to see. Permissions are per-bucket #### 4. Connect Expose your buckets to AI agents through the **Plurality MCP Server**. Once an agent is connected and permissioned, it can read your context the moment it needs to — no more pasting your background into every new conversation or session. ### Why this matters Today, you re-explain yourself to every AI tool. *I work in product design. I'm building a B2B app. My team uses Linear. I prefer concise answers.* Every chat. Every tool. Every time. AI Context Flow ends that. You set up your context once. Your agents know it. And because the data lives in *your* memory buckets — not in OpenAI's, not in Anthropic's, not in Gemini's — you can take it with you when you switch tools. ### What's next * [Connect your first AI agent](/overview/quickstart.md) — five-minute setup * [The Plurality MCP Server](/the-plurality-mcp-server.md) — the bridge between your context and your tools --- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://docs.plurality.network/ai-context-flow.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.