ContextQMD
Back to Redis

Index

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

latest2.8 KB
Original Source

Agents use Redis for data storage, vector search, and conversation memory. The interactive builder generates code in your preferred programming language with your choice of model.

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

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

Use the Copy or Download buttons and follow the steps below 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 - Learn how agents work and why Redis is perfect for them

Redis AI documentation

  • [Redis Vector Search]({{< relref "/develop/ai/search-and-query/vectors/" >}}) - Semantic search capabilities
  • Redis Streams - Real-time data and conversation history
  • [AI Notebooks Collection]({{< relref "/develop/ai/notebook-collection" >}}) - Interactive tutorials and examples
  • [Ecosystem Integrations]({{< relref "/develop/ai/ecosystem-integrations" >}}) - Redis with AI frameworks

Community and support