feat(integrations): add Agno integration docs

.github/styles/config/vocabularies/Docs/accept.txt

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 walkthroughs?
 
 ul
+[Aa]gno

sources/platform/integrations/ai/agno.md

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+---
+title: Agno Integration
+sidebar_label: Agno
+description: Integrate Apify with Agno to power AI agents with web scraping, automation, and data insights.
+sidebar_position: 14
+slug: /integrations/agno
+---
+
+**Integrate Apify with Agno to power AI agents with web scraping, automation, and data insights.**
+
+---
+
+## What is Agno?
+
+[Agno](https://docs.agno.com/) is an open-source framework for building intelligent AI agents. It provides a flexible architecture to create agents with custom tools, enabling seamless integration with external services like Apify for tasks such as web scraping, data extraction and automation.
+
+:::note Agno documentation
+
+Check out the [Agno documentation](https://docs.agno.com/introduction) for more details on building AI agents.
+
+:::
+
+## How to use Apify with Agno
+
+This guide shows how to integrate Apify Actors with Agno to empower your AI agents with real-time web data. We'll use the [RAG Web Browser](https://apify.com/apify/rag-web-browser) Actor to fetch web content and the [Google Places Crawler](https://apify.com/compass/crawler-google-places) Actor to extract location-based data. It is very easy to use with any other Actor by just passing the name of the Actor. See and choose from thousands of Actors in the [Apify Store](https://apify.com/store).
+
+### Prerequisites
+
+- _Apify API token_: Obtain your API token from the [Apify console](https://console.apify.com/account/integrations).  
+- _OpenAI API key_: Get your API key from the [OpenAI platform](https://platform.openai.com/account/api-keys).
+
+:::tip Alternative LLM providers
+
+While our examples use OpenAI, Agno supports other LLM providers as well. You'll need to adjust the environment variables and configuration according to your chosen provider. Check out the [Agno models documentation](https://docs.agno.com/models/introduction) for details on supported providers and configuration.
+
+:::
+
+- _Python environment_: Ensure Python is installed (version 3.8+ recommended).  
+- _Required packages_: Install the following dependencies in your terminal:
+
+```bash
+pip install agno apify-client
+```
+
+## Basic integration example
+
+Start by setting up an Agno agent with Apify tools. This example uses the RAG Web Browser Actor to extract content from a specific URL.
+
+```python
+import os
+
+from agno.agent import Agent
+from agno.tools.apify import ApifyTools
+
+os.environ["APIFY_API_TOKEN"] = "YOUR_APIFY_API_TOKEN"  # Replace with your Apify API token
+os.environ["OPENAI_API_KEY"] = "YOUR_OPENAI_API_KEY"  # Replace with your OpenAI API key
+
+# Initialize the agent with Apify tools
+agent = Agent(
+    tools=[ApifyTools( actors=["apify/rag-web-browser"])],
+    show_tool_calls=True,
+    markdown=True
+)
+
+# Fetch and display web content
+agent.print_response("Extract key details from https://docs.agno.com/introduction", markdown=True)
+```
+
+Running this code will scrape the specified URL and return formatted content your agent can use.
+
+### Advanced scenario: Travel planning agent
+
+Combine multiple Apify Actors to create a powerful travel planning agent. This example uses the RAG Web Browser and Google Places Crawler to gather travel insights and local business data.
+
+```python
+import os
+
+from agno.agent import Agent
+from agno.tools.apify import ApifyTools
+
+os.environ["APIFY_API_TOKEN"] = "YOUR_APIFY_API_TOKEN"  # Replace with your Apify API token
+os.environ["OPENAI_API_KEY"] = "YOUR_OPENAI_API_KEY"  # Replace with your OpenAI API key
+
+# Create a travel planning agent
+agent = Agent(
+    name="Travel Planner",
+    instructions=[
+        "You are a travel planning assistant. Use web data and location insights to provide detailed travel recommendations."
+    ],
+    tools=[
+        ApifyTools(
+            actors=[
+                "apify/rag-web-browser",           # For general web research
+                "compass/crawler-google-places"    # For location-based data
+            ]
+        )
+    ],
+    show_tool_calls=True,
+    markdown=True
+)
+
+# Plan a trip to Tokyo
+agent.print_response(
+    """
+    I'm traveling to Tokyo next month.
+    1. Research the best time to visit and top attractions.
+    2. Find a highly rated sushi restaurant near Shinjuku.
+    Compile a travel guide with this information.
+    """,
+    markdown=True
+)
+```
+
+This agent will fetch travel-related data and restaurant recommendations, providing a comprehensive travel guide:
+
+1. Use the RAG Web Browser to research Tokyo travel details.
+2. Use the Google Places Crawler to find a top sushi restaurant.
+3. Combine the results into a comprehensive guide.
+
+:::tip Apify Store
+
+Browse the [Apify Store](https://apify.com/store) to find additional Actors for tasks like social media scraping, e-commerce data extraction, or news aggregation.
+
+:::
+
+### Available Apify tools
+
+Agno supports any Apify Actor via the ApifyTools class. You can specify a single Actor ID or a list of Actor IDs to register multiple tools for your agent at once.
+
+## Configuration options
+
+`apify_api_token` (string, default: `None`)
+: Apify API token (or set via APIFY_API_TOKEN environment variable)
+
+`actors` (string or List[string], default: `None`)
+: Single Actor ID or list of Actor IDs to register
+
+## Resources
+
+- [How to build an AI Agent](https://blog.apify.com/how-to-build-an-ai-agent/)
+- [Agno Framework Documentation](https://docs.agno.com)
+- [Apify Platform Documentation](https://docs.apify.com)
+- [Apify Actor Documentation](https://docs.apify.com/actors)
+- [Apify Store - Browse available Actors](https://apify.com/store)
+- [Agno Apify Toolkit Documentation](https://docs.agno.com/tools/toolkits/others/apify#apify)