# Quickstart

> **TL;DR** Get your first AI agent reading your context in under five minutes

#### What you'll need

* An account on Memory Studio → [sign up](https://app.plurality.network)
* Any AI tools: e.g. Claude (Website or Desktop), Claude Code, Cursor, ChatGPT, etc.
* (optional) AI Context Flow Browser Extension → Download [here](https://chromewebstore.google.com/detail/ai-context-flow-use-your/cfegfckldnmbdnimjgfamhjnmjpcmgnf)

#### Step 1 — Create your first memory bucket

Open [Memory Studio](https://app.plurality.network/) and click **Create memory** . Give it a name (e.g. *Work*) and add a few starter pieces of context e.g. your role, current projects, anything you'd want a smart assistant to know.

#### Step 2 — Connect to your AI tool

Now let's connect this memory to your favorite AI agent or tool. \
You have two connection options:

<details>

<summary>Connect via Browser Extension</summary>

> The browser extension only supports prompt enhancements with context on these web based AI agents: ChatGPT, Claude, Grok, Perplexity and Gemini. \
> However, you can add and use your context from any website.

You can go to the supported AI agent websites and you will see AI Context Flow elements within the agents. Write a prompt, select your memory bucket and press Optimize. \
\
See the following tutorial to understand in detail how AI Context Flow works and all that it has to offer.

{% embed url="<https://www.youtube.com/watch?v=VO7Ro1uFiVQ>" %}

</details>

<details>

<summary>Connect via MCP Server</summary>

For detailed context usage and management, and for non UI environments (e.g. scripts, openclaw, etc.), we recommend our MCP Server. We have guides covering most of the tools. \
\
Read more: [Connect Your Agents via MCP](/the-plurality-mcp-server/connect-your-agents-via-mcp.md)\
\
Quick Links to some of the most famous tools:

| Tool                                                                                                | Setup time |
| --------------------------------------------------------------------------------------------------- | ---------- |
| [Claude Desktop / Web](/the-plurality-mcp-server/connect-your-agents-via-mcp/claude-desktop-web.md) | 1 min      |
| [Claude Code](/the-plurality-mcp-server/connect-your-agents-via-mcp/claude-code.md)                 | 1 min      |
| [ChatGPT](/the-plurality-mcp-server/connect-your-agents-via-mcp/chatgpt.md)                         | 1 min      |
| [LM Studio](/the-plurality-mcp-server/connect-your-agents-via-mcp/lm-studio.md)                     | 2 min      |
| [OpenClaw](/the-plurality-mcp-server/connect-your-agents-via-mcp/openclaw.md)                       | 5 min      |
| [Lovable](/the-plurality-mcp-server/connect-your-agents-via-mcp/lovable.md)                         | 2 min      |

</details>

#### Step 3 — Try it

Once connected, ask your agent something only your context could answer:

> *"What's my current project status?"*
>
> *"Draft an email in my usual style."*

If you are using the browser extension, you will need to select the correct memory bucket and press optimize. \
\
If you are using MCP server and the connection is already established, you don't need to do anything else.\
\
If the agent answers using information from your memory bucket, you're done. 🎉

#### What's next?

* Add more context to your memory buckets directly from websites, AI chats, MCP or through the [memory studio](https://app.plurality.network/)
* Create additional buckets for different parts of your life
* Share Your Memories — add collaborators to your memory buckets (advanced team features coming soon)


---

# 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/overview/quickstart.md?ask=<question>
```

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.
