From Stateless to Stateful: Orchestrating Real-Time Voice & Messaging Agents with Twilio and Amazon Bedrock
Rishab Kumar
- When
- Wednesday, July 112:05 PM – 12:25 PM · 20 min
- Where
- Expo Stage 2 NWSan Francisco, CA · imported from ai.engineer's public schedule feed
About this session
We have all had that maddening customer service experience: you text a support line about a delayed flight, receive a confirmation, but when you call in a minute later, the voice agent asks, "How can I help you today?" completely blind to the SMS you just sent. This is the "Channel Amnesia" problem. While businesses are pouring billions into generative AI, most agents are still built on stateless architectures that forget customer context the second a session ends. In this session, we will cure AI amnesia. You will learn how to orchestrate stateful, production-grade AI agents across SMS and Voice using Twilio Agent Connect and Amazon Bedrock. We will dive into why traditional serverless compute fails stateful agents, how to leverage AWS Fargate for isolated, long-lived sessions, and how to configure Bedrock AgentCore over WebSockets to hit sub-50ms streaming voice latency. No slide-ware here expect a live, cross-channel demo and open-source code you can deploy tomorrow.
Speaker
Staff Developer Evangelist, Twilio
Rishab Kumar is a Staff Developer Evangelist at Twilio, GitHub Star, Google Developer Expert, and AWS Community Builder who works on developer relations and agentic voice/messaging applications with Twilio and Amazon Bedrock.
For developers: this programme is open data — JSON, iCal, schedule XML and an MCP endpoint.Show endpointsHide
- JSONEvery published session and speaker, in one request./aie-worldsfair-2026-import/feed.json
- iCalSubscribe in Google, Apple or Outlook Calendar./aie-worldsfair-2026-import/feed.ics
- Schedule XMLfrab / pentabarf — the format conference apps import./aie-worldsfair-2026-import/feed.xml
- MCP + RESTPoint Claude at the programme. OpenAPI 3.1 included./agents
No key, no signup, CORS open. Everything here is generated from the same data the organisers edit.