> For the complete documentation index, see [llms.txt](https://docs.usepylon.com/pylon-docs/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.usepylon.com/pylon-docs/agents/user-memories.md).
# User Memories
Pylon AI remembers how you work so you don't have to repeat the same context and preferences.
{% hint style="info" %}
This feature is currently in beta, with access limited to those participating in the beta.
{% endhint %}
User Memories are personal notes that tell Pylon AI how you work. They capture durable preferences, conventions, and context so you do not need to repeat the same instructions in every conversation.
For example, you might have Pylon AI remember which field to use when searching for logs for a specific customer.
{% hint style="info" %}
Your memories are personal and are not visible to other people in your workspace.
{% endhint %}
### Create a memory
You can ask the [Assist Agent](/pylon-docs/agents/assist-agent.md) to create a memory while you work. For example:
You can also create a memory manually from the [memories](https://app.usepylon.com/settings/memories) page and import memories to bring in memories from another AI tool you use.
After some conversations, [Assist Agent](/pylon-docs/agents/assist-agent.md) may suggest to save something as memory. Select the suggestion, review and edit the proposed summary and memory, then select **Save to Memory**.
### Examples
Instead of going through these steps each time, Assist Agent know knows how to fetch an organization ID consistently
## How memories are used
When you start your next conversation with Pylon AI your saved memories are available as personal context. It applies a memory when it is relevant to your request, investigation, or action.
Memories make Pylon AI faster and more consistent.
---
# Agent Instructions
This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.
## Querying This Documentation
If you need additional information that is not directly available in this page, you can query the documentation by asking a question.
Perform an HTTP GET request on the following URL with the `ask` and `goal` query parameters:
```
GET https://docs.usepylon.com/pylon-docs/agents/user-memories.md?ask=&goal=
```
`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
`goal` is what the user is ultimately trying to achieve, the reason they need the answer. Sharing it helps GitBook give you a better, more relevant answer. A goal is most helpful when it describes the outcome the user wants rather than restating the question. For example, with `ask=how do I create an API token`, a goal like `automate deployments from our CI pipeline` lets GitBook tailor the answer to that use case.
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.
