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| 1 | +--- |
| 2 | +Title: Redis AI Agent Builder |
| 3 | +alwaysopen: false |
| 4 | +categories: |
| 5 | +- docs |
| 6 | +- develop |
| 7 | +- ai |
| 8 | +description: Build custom AI agents powered by Redis with our interactive code generator |
| 9 | +linkTitle: Agent Builder |
| 10 | +hideListLinks: true |
| 11 | +weight: 50 |
| 12 | +--- |
| 13 | + |
| 14 | + |
| 15 | +Agents use Redis for data storage, vector search, and conversation memory. The interactive builder generates production-ready code in your preferred programming language. |
| 16 | + |
| 17 | +## Get started |
| 18 | + |
| 19 | +Use the interactive builder below to generate your custom AI agent code: |
| 20 | + |
| 21 | +{{< agent-builder >}} |
| 22 | + |
| 23 | +## What are AI agents? |
| 24 | + |
| 25 | +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. |
| 26 | + |
| 27 | +Redis powers these capabilities with fast, reliable data storage and retrieval that keeps your agents responsive and intelligent. |
| 28 | + |
| 29 | +**Learn more**: [How agents work](agent-concepts/) |
| 30 | + |
| 31 | +## What you can build |
| 32 | + |
| 33 | +Choose from two types of intelligent agents: |
| 34 | + |
| 35 | +- **Recommendation engines**: Personalized product and content recommendations |
| 36 | +- **Conversational assistants**: Chatbots with memory and context awareness |
| 37 | + |
| 38 | +The agent builder will generate complete, working code examples for your chosen agent type. |
| 39 | + |
| 40 | +## Features |
| 41 | + |
| 42 | +- **Multiple programming languages**: Generate code in Python, with JavaScript (Node.js), Java, and C# coming soon |
| 43 | +- **LLM integration**: Support for OpenAI, Anthropic Claude, and Llama 2 |
| 44 | +- **Redis optimized**: Uses Redis data structures for optimal performance |
| 45 | + |
| 46 | +## After you generate your code |
| 47 | + |
| 48 | +Use the **Copy** or **Download** buttons and follow the steps below to test it locally: |
| 49 | + |
| 50 | +1. **Set up your environment**: Install Redis and the required dependencies |
| 51 | +2. **Configure your API keys**: Add your LLM provider credentials to environment variables |
| 52 | +3. **Test locally**: Start with simple conversations to verify everything works |
| 53 | +4. **Deploy and scale**: Use Redis Cloud for production deployments |
| 54 | + |
| 55 | +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. |
| 56 | + |
| 57 | +## Learn more |
| 58 | + |
| 59 | +### AI agent resources |
| 60 | + |
| 61 | +- [How agents work](agent-concepts/) - Learn how agents work and why Redis is perfect for them |
| 62 | + |
| 63 | +### Redis AI documentation |
| 64 | + |
| 65 | +- [Redis Vector Search](/develop/interact/search-and-query/vector-search/) - Semantic search capabilities |
| 66 | +- [Redis Streams](/develop/data-types/streams/) - Real-time data and conversation history |
| 67 | +- [AI Notebooks Collection](/develop/ai/notebook-collection/) - Interactive tutorials and examples |
| 68 | +- [Ecosystem Integrations](/develop/ai/ecosystem-integrations/) - Redis with AI frameworks |
| 69 | + |
| 70 | +### Community and support |
| 71 | + |
| 72 | +- Join the [Redis Discord](https://discord.gg/redis) for community support |
| 73 | +- Explore [Redis AI Resources on GitHub](https://github.com/redis-developer/redis-ai-resources) |
| 74 | +- Watch [AI Video Collection](/develop/ai/ai-videos/) for tutorials and demonstrations |
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