> For the complete documentation index, see [llms.txt](https://docs.cherryai.com.cn/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.cherryai.com.cn/docs/en-us/advanced-basic/workbench/global-search.md).

# Global Search

Global search lets you find messages, conversations, tasks, assistants, agents, and knowledge bases from a single entry point. It’s ideal when you remember the content but not where it was stored.

<figure><img src="/files/746c9a2e0e1d8eb760fc7fba5ee54e1004e464c0" alt="全局搜索中的关键词、搜索类型和更新时间筛选"><figcaption><p>First enter distinctive keywords, then narrow the scope by type, such as conversations or knowledge bases, and by update time.</p></figcaption></figure>

## How to use

{% stepper %}
{% step %}

### 1. Click the search button at the top of the window

You can also view or change the corresponding shortcut in \[Settings] → \[Shortcuts].
{% endstep %}

{% step %}

### 2. Enter distinctive keywords

Prefer project names, people’s names, file subjects, or phrases from conclusions. If you only enter common words like “settings” or “report,” you’ll usually get too many results.
{% endstep %}

{% step %}

### 3. Narrow the search scope

Switch to \[Messages] or filter by \[Conversations], \[Tasks], \[Assistants], \[Agents], or \[Knowledge Bases], then narrow it further by update time.
{% endstep %}

{% step %}

### 4. Open a result and continue working

Search takes you back to the corresponding content. Check the type before opening it to avoid confusing an assistant and an Agent task with the same name.
{% endstep %}
{% endstepper %}

### Example: Recovering a client conclusion from last month

Search for the client project name, then narrow the type to \[Messages] and limit the update time. After finding the conclusion, open the original conversation and first confirm whether there were any later revisions; when you need to use the conclusion in a new task, copy the confirmed summary instead of relying on scattered fragments from memory in a new conversation.

<details>

<summary>Why can’t I search the contents of files on disk?</summary>

Global search mainly looks for content saved in Cherry Studio. For files on disk, you need to bring them into the relevant workflow in the Agent working directory, knowledge base, or notes before you can search for them through the corresponding entry point.

</details>


---

# 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 dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter, and the optional `goal` query parameter:

```
GET https://docs.cherryai.com.cn/docs/en-us/advanced-basic/workbench/global-search.md?ask=<question>&goal=<endgoal>
```

`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
`goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal.

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.