Market surveillance agent with LangGraph and Strands on AgentCore
AWS Machine Learning Gleb Geinke
A technical tutorial demonstrates how to build a production market surveillance system by combining LangGraph for workflow orchestration with Strands agents for specialized reasoning, integrated on AWS AgentCore infrastructure. The system uses multiple specialized agents (security monitor, broker monitor, risk monitor, intel analyst) coordinated through a directed graph with checkpointed state management, where each agent has isolated context and predefined tools with parameterized SQL queries to prevent injection attacks. This architecture enables deterministic multi-step workflows with localized LLM intelligence, persistent error recovery, and human-in-the-loop review capabilities for financial compliance scenarios.
Why it matters
Learn how to architect and deploy a production-ready multi-agent AI system using LangGraph for workflow orchestration and Strands for agent reasoning on Amazon Bedrock AgentCore. This post walks through a market surveillance example with state-driven orchestration, checkpoint-based recovery, and AgentCore memory and observability.
