AI Webinar (Diagrid and AWS) - Durable Execution for Agents

Important: Register on the event website to receive the joining link. (rsvp on meetup will NOT receive anything). This is virtual event for our AI global community, please double-check your local time. Can't make it live? Register anyway to receive the webinar recording. Welcome to the AI Deep Dive Series (Virtual) with Diagrid and AWS. Join us for deep dive tech talks on AI, GenAI, LLMs, Agentic AI, hands-on experiences on code labs, workshops, and networking with speakers & fellow developers from all over the world. This is virtual event for our AI global community, please double-check your local time. Can't make it live? Register anyway to receive the webinar recording. Tech Talk: Agents That Won’t Quit: Durable Execution on Amazon Bedrock AgentCore Speaker: Mark Fussell, Co-founder & CEO, Diagrid Yaron Schneider, Co-founder & CTO, Diagrid Jean Malha, Principal Specialist Solutions Architect, AWS Abstract: Amazon Bedrock AgentCore gives agents secure, isolated compute, managed identity, memory and access to Bedrock models. Agents that run multi-step tasks over minutes or hours depend on external models, tools and APIs, where timeouts, rate limits, errors and redeployments are a normal part of operating at scale. These agents require durable execution. This session adds Diagrid Catalyst as the agentic durable execution layer on AgentCore, so agent runs complete reliably and every step is verifiable. With durable execution, an agent interrupted mid-task, by a failed tool call, a timeout or a redeploy, resumes from its last completed step, without re-running completed model calls or tool calls. With verifiable execution, every step is cryptographically signed and traceable to the agent that ran it, producing a tamper-evident record that auditors and risk teams can check. You keep your existing Strands, LangGraph or Mastra code, run on AgentCore and Bedrock, and add one Diagrid package. Who should attend AI engineers, architects and platform teams building