Meetup: Memory, Context & Agents (SurrealDB x CCCL)

​Building an AI agent is the easy bit. What trips people up is everything that comes after — how do you keep context across sessions without blowing your token budget? How do you reason over relationships without a graph database bolted onto the side? How do you build something that actually behaves like it has memory?

​Claude Code Bengaluru and SurrealDB are coming together to get into the weeds on that. Two talks from engineers who've been building real agent systems on SurrealDB — one demoing a persistent memory engine for Claude agents, the other building a multi-model CRM agent from scratch. Plus two more talks from the CCCL community.

​Talks

​Farhan Khan (SurrealDB) — SurrealDB as the context layer for AI agents

​Abhishek Das (SurrealDB Community, Bengaluru) — Enabling Multi-Model Agents on Mastra with SurrealDB

​CCCL Speaker — TBC

​Agenda

​Doors - 9:30 AM
Talks - 10:30 AM
Food & networking - 12:00 PM
Close - 1:30 PM

​About the speakers

​Farhan Khan (SurrealDB) Farhan is on the core engineernig team at SurrealDB and has been building a persistent memory engine for Claude agents on top of SurrealDB — hybrid search, knowledge graph, lifecycle-aware context, all in a single database. He's been using it in his own workflow and will show you exactly how it works.

​Abhishek Das (SurrealDB Community, Bengaluru) Abhishek is SurrealDB's community lead in Bengaluru and has been deep in agentic frameworks. His talk builds a working CRM agent from first principles using Mastra and SurrealDB — graph traversal for relationship-aware lookups, no separate vector store, no brittle ETL pipelines. Live demo: an agent that answers "who should I call today, and why?"