Cover Image for Qdrant AI Builders: Agentic Memory with MCP @ AWS Loft
Cover Image for Qdrant AI Builders: Agentic Memory with MCP @ AWS Loft
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Qdrant AI Builders: Agentic Memory with MCP @ AWS Loft

Hosted by Thierry Damiba, Madelyn Duhon & AWS Builder Loft (Formerly AWS GenAI Loft)
Registration
Welcome! To join the event, please register below.
About Event

Join us for an exploration of the next frontier in Retrieval-Augmented Generation (RAG): persistent agentic memory and dynamic context injection using MCP (Model Context Protocol) and Qdrant.

As LLM-powered agents become more capable, they need more than just one-off prompts — they need context that evolves, memory that persists, and infrastructure that scales. This event will show you how to use MCP to manage complex, multi-turn contexts, and how Qdrant enables high-performance vector memory at scale.

Through live demos, lightning talks, and hands-on exploration, we’ll walk through how to:

  • Store long-term memory using Qdrant

  • Dynamically construct LLM context with MCP

  • Design agents that remember, adapt, and collaborate across time

Whether you're building copilots, assistants, or AI agents that go beyond single-turn interactions, this event will equip you with the building blocks of intelligent memory.

What You’ll Learn:

  • How the Model Context Protocol enhances agentic workflows

  • Architecting scalable vector memory with Qdrant

  • Best practices for context injection and memory retrieval

  • Real-world demos of agentic systems powered by MCP and Qdrant

Who Should Attend:
LLM engineers, AI product builders, agent framework devs, and anyone working on context-aware or memory-enabled AI.

This isn’t just RAG — it’s memory with purpose.

Location
525 Market St
San Francisco, CA 94105, USA
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