> For the complete documentation index, see [llms.txt](https://osint.cavementech.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://osint.cavementech.com/books-search.md).

# Books Search

*Find and download books, research papers, and academic texts using these open-source intelligence resources. These tools are widely used by researchers, students, and OSINT practitioners to locate hard-to-find publications.*

### Search Engine

{% embed url="<https://annas-archive.gd/>" %}
Aggregated search across multiple shadow libraries — search by title, author, or ISBN
{% endembed %}

### Different Sites

{% embed url="<https://articles.sk/>" %}

{% embed url="<https://libgen.ac/>" %}
One of the largest repositories of books and scientific papers
{% endembed %}

{% embed url="<https://libgen.li/index.php>" %}

{% embed url="<https://z-lib.cv/>" %}
Extensive digital library with millions of books and articles
{% endembed %}

### Research Papers

{% embed url="<https://www.sci-hub.in/>" %}

{% embed url="<https://sci-hub.red/>" %}


---

# 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://osint.cavementech.com/books-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.