Cover Image for Qdrant AI Builders: Agentic Memory with MCP @ AWS Loft with n8n and Tensorlake
Cover Image for Qdrant AI Builders: Agentic Memory with MCP @ AWS Loft with n8n and Tensorlake
373 Went

Qdrant AI Builders: Agentic Memory with MCP @ AWS Loft with n8n and Tensorlake

Hosted by Thierry Damiba & 3 others
Registration
Past Event
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About Event

Watch live here: https://www.youtube.com/watch?v=Ov_lGn0DNac

Our CEO, Andre Zayarni, will be joining us in person for this event!

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

We will be joined by n8n and Tensorlake.

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.

We 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
373 Went