# Introduction

The Canso AI Agentic System is a platform designed for deploying and managing production-grade AI agents at scale. By abstracting infrastructure complexities, it enables teams to focus on developing AI Agentic workflows while simplifying its deployment, scaling, and integration with dependent components.

So you've created an AI Agent using your favourite framework. Now, you want to build an application that serves as an interface for interacting with your agent, allowing you to send prompts and receive responses seamlessly. Additionally, you aim to deploy this application on your cloud and ensure that the deployment is production grade.

Beyond the application itself, your deployment must include all supporting components that the agent relies on, such as checkpoint DB, memory, feature stores etc.

Traditionally, setting up such a system in a robust and scalable manner could take days or even weeks to get everything up and running.

Enter **Canso AI Agentic System** - a solution designed to drastically cut the time needed to take your AI agent from development to production-grade deployment, reducing it from weeks to just hours!

In addition, the Canso AI Agentic System has features to empower your AI Agent with the capability to run **long running tasks**.

Generally, the tools integrated with AI agents execute simple tasks that are light weight and short lived. But what if you want your agent to be able to execute tasks that could run for hours? How about compute intensive tasks? How would you equip your agent with the capability to execute such tasks?

The answer lies within Canso AI Agentic System! Enter **Canso Task Server**.

## Canso Task Server

The Canso Task Server is designed to enable your AI Agent to execute **long running** or **compute intensive** tasks. The diagram below gives an overview of how this functionality works:

![Task Server Functionality](/files/JcOiEl2nXmng2sZF7Y7L)

Although this involves multiple components, such as a Broker and the Canso Task Server that need to integrate with your AI Agent, the Canso AI Agentic System handles all the complexity for you.

Setting up the broker and the Canso Task Server is effortless, requiring just a simple CLI command. Once done, you only need to add the tools from the [Canso Toolkit](/ai-agents/toolkit.md) into your AI agent, and you’re ready to go!

See [Task Server](/ai-agents/concepts/task-server.md) for more details.

## Next Steps

* Read the [Getting Started](/ai-agents/getting-started.md) guide to learn how to us the Canso AI Agentic System.
* Read the [Quickstart](/ai-agents/quickstart.md) guide to develop and deploy a simple agent.

## Supported Frameworks

* [LangGraph](https://langchain-ai.github.io/langgraph/)


---

# Agent Instructions: 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:

```
GET https://docs.canso.ai/ai-agents/intro.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
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.
