OpenSearchCon India 2026

Agentic AI systems are moving from experiments to production—but most teams lack visibility into how agents
think, coordinate, and evolve. This session explores using OpenSearch as the cognitive backbone for modern agent
frameworks like Strands and LangGraph, positioning it as: a long-term memory store, reasoning trace index, multi-
agent coordination layer, and observability platform.

Through a live architecture walkthrough, we'll build a multi-agent system where every planning step, tool
invocation, state transition, and outcome is indexed in OpenSearch. We'll demonstrate how to debug hallucinations
using reasoning traces, replay agent decisions across sessions, analyze performance with hybrid search, detect
behavioral drift, and coordinate multiple agents through search-backed state.

Attendees will gain practical architectural patterns for running stateful, observable, production-grade AI agents
using OpenSearch as core infrastructure—beyond basic retrieval.

Key Takeaways:
• Design stateful agent memory architectures
• Implement agent observability pipelines
• Use OpenSearch for reasoning trace analysis
• Coordinate multi-agent systems via indexed state