> For the complete documentation index, see [llms.txt](https://crowe-b.gitbook.io/crowe-b-docs/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://crowe-b.gitbook.io/crowe-b-docs/documentation/readme.md).

# Welcome to Crowe Docs

### What is Crowe? <a href="#what-is-swarms" id="what-is-swarms"></a>

Crowe is a cutting-edge, production-ready framework for managing large-scale networks of intelligent AI agents.\
It’s purpose-built for enterprise environments, enabling the development of advanced multi-agent systems capable of tackling challenging tasks through seamless collaboration, efficient parallel execution, and smart workload distribution.

Key Features

* **Enterprise-Grade Reliability**\
  Built for mission-critical environments, with rock-solid stability, detailed activity tracking, and advanced fault recovery mechanisms.
* **Intelligent Agent Coordination**\
  Manage complex agent ecosystems with layered hierarchies, parallel and sequential task execution, and adaptive reconfiguration on the fly.
* **Seamless Extensibility**\
  Easily connect to multiple AI models, craft custom agents, leverage a broad toolkit, and choose from diverse memory and context strategies.
* **Designed to Scale**\
  Handle massive workloads through concurrent execution, optimized resource allocation, smart load distribution, and elastic expansion.
* **Security at the Core**\
  Integrated safeguards for error control, request throttling, live system monitoring, and complete operational audit trails.
* **Developer-Centric Workflow**\
  Straightforward APIs, rich guides, an engaged user base, and command-line utilities to accelerate prototyping and deployment.

### Jump right in

<table data-view="cards"><thead><tr><th></th><th></th><th></th><th data-hidden data-card-cover data-type="image">Cover image</th><th data-hidden></th><th data-hidden data-card-target data-type="content-ref"></th></tr></thead><tbody><tr><td><h4><i class="fa-bolt">:bolt:</i></h4></td><td>Quickstart</td><td>Create your first Crowe agent and run a workflow.</td><td><a href="https://800093120-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2Fxh4ydbQYskYIDSCSKiWm%2Fuploads%2FNFPMaWKOomaP5ZgFJDw0%2F8a9d0a0ab213d069047bce0cdfba00b9.png?alt=media&amp;token=5db9b0e0-b9ff-4d2f-b6fe-7c3164a0b0e7">8a9d0a0ab213d069047bce0cdfba00b9.png</a></td><td></td><td><a href="/crowe-b-docs/documentation/getting-started/quickstart.md">Quickstart</a></td></tr><tr><td><h4><i class="fa-leaf">:leaf:</i></h4></td><td>Core concepts</td><td>Learn agents, tools, and workflow patterns in Crowe.</td><td><a href="https://800093120-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2Fxh4ydbQYskYIDSCSKiWm%2Fuploads%2FXpX033amugS9RBSKHeZc%2Fdea7c8bb02811daf86aaeacb1325d3cb.png?alt=media&amp;token=71cb0f33-4d46-4e83-90ce-57bc4d559062">dea7c8bb02811daf86aaeacb1325d3cb.png</a></td><td></td><td><a href="https://crowe-b.gitbook.io/crowe-b-docs/documentation/">Documentation</a></td></tr><tr><td><h4><i class="fa-globe-pointer">:globe-pointer:</i></h4></td><td>Deploy &#x26; monitor</td><td>Ship to production, scale safely, and track performance.</td><td><a href="https://800093120-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2Fxh4ydbQYskYIDSCSKiWm%2Fuploads%2FXoHKq8JlWYaAIq0ibm2P%2F003061627a9d787daaa949682e7254c6.png?alt=media&amp;token=8151b4ea-2125-4b85-a337-ab9287867f20">003061627a9d787daaa949682e7254c6.png</a></td><td></td><td><a href="https://crowe-b.gitbook.io/crowe-b-docs/documentation/">Documentation</a></td></tr></tbody></table>


---

# Agent Instructions
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## 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://crowe-b.gitbook.io/crowe-b-docs/documentation/readme.md?ask=<question>&goal=<endgoal>
```

`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
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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.
