> 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/readme.md).
# Developer Platform
Welcome to your team’s developer platform
Welcome to Crowe Docs Home
@JulianCrowe1989
No code
Get started with the developer platform in 5 minutes.
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### Crowe framework
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.
Get started
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```javascript
// Crowe Installation
pip install crowe-b
// Test Crowe
crowe /hi
// Get Started Building Production-Grade Multi-Agent Applications
```
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### Learn more about the Crowe
Explore detailed guides, in-depth tutorials, and technical walkthroughs to help you seamlessly integrate Crowe into your AI development environment. Whether you're designing a modular autonomous agent architecture or orchestrating complex multi-agent interactions, Crowe gives you the tools to operate at scale.
Unlock the full potential of your AI systems by learning how to:
* Deploy Crowe into production environments with minimal overhead.
* Design goal-driven agents that can reason, plan, and collaborate.
* Connect agents through flexible protocols to enable real-time coordination.
* Extend Crowe with custom tools, memory, and model integrations.
Crowe is more than a framework—it's a foundation for building emergent intelligence.
> Begin your journey with Crowe:
GuidesDocumentation
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---
# Agent Instructions
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Perform an HTTP GET request on the following URL with the `ask` and `goal` query parameters:
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```
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