Site: add agent gen code from AI week to PROD

content/develop/ai/agent-builder/_index.md

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+---
+Title: Redis AI Agent Builder
+alwaysopen: false
+categories:
+- docs
+- develop
+- ai
+description: Build custom AI agents powered by Redis with our interactive code generator
+linkTitle: Agent Builder
+hideListLinks: true
+weight: 50
+---
+
+
+Agents use Redis for data storage, vector search, and conversation memory. The interactive builder generates production-ready code in your preferred programming language.
+
+## Get started
+
+Use the interactive builder below to generate your custom AI agent code:
+
+{{< agent-builder >}}
+
+## What are AI agents?
+
+AI agents are intelligent systems that can plan, remember, and take actions to help users accomplish goals. Unlike simple chatbots, agents can remember conversations, plan multi-step tasks, use external tools, and learn from interactions.
+
+Redis powers these capabilities with fast, reliable data storage and retrieval that keeps your agents responsive and intelligent.
+
+**Learn more**: [How agents work](agent-concepts/)
+
+## What you can build
+
+Choose from two types of intelligent agents:
+
+- **Recommendation engines**: Personalized product and content recommendations
+- **Conversational assistants**: Chatbots with memory and context awareness
+
+The agent builder will generate complete, working code examples for your chosen agent type.
+
+## Features
+
+- **Multiple programming languages**: Generate code in Python, with JavaScript (Node.js), Java, and C# coming soon
+- **LLM integration**: Support for OpenAI, Anthropic Claude, and Llama 2
+- **Redis optimized**: Uses Redis data structures for optimal performance
+
+## After you generate your code
+
+Select the **Try in Jupyter** button to run the code in a notebook, load a sample dataset, and start testing and customizing your agent. Alternatively, use the **Copy** or **Download** buttons and follow the steps to test it locally:
+
+1. **Set up your environment**: Install Redis and the required dependencies
+2. **Configure your API keys**: Add your LLM provider credentials to environment variables
+3. **Test locally**: Start with simple conversations to verify everything works
+4. **Deploy and scale**: Use Redis Cloud for production deployments
+
+The generated code includes detailed setup instructions and best practices to get you started quickly. If you want to generate another agent, select the **Start again** button.
+
+
+## Learn more
+
+### AI agent resources
+
+- [How agents work](agent-concepts/) - Learn how agents work and why Redis is perfect for them
+
+### Redis AI documentation
+
+- [Redis Vector Search](/develop/interact/search-and-query/vector-search/) - Semantic search capabilities
+- [Redis Streams](/develop/data-types/streams/) - Real-time data and conversation history
+- [AI Notebooks Collection](/develop/ai/notebook-collection/) - Interactive tutorials and examples
+- [Ecosystem Integrations](/develop/ai/ecosystem-integrations/) - Redis with AI frameworks
+
+### Community and support
+
+- Join the [Redis Discord](https://discord.gg/redis) for community support
+- Explore [Redis AI Resources on GitHub](https://github.com/redis-developer/redis-ai-resources)
+- Watch [AI Video Collection](/develop/ai/ai-videos/) for tutorials and demonstrations