21 · LangGraph + AgentCore Multi-Agent System

This is a LangGraph + AgentCore multi-agent system for building intelligent teams that plan, act and learn at enterprise scale, using LangGraph for orchestration and AgentCore for a secure runtime.

How it works

1. 1Users & channels reach the system; an agent supervisor (planner) understands the goal and breaks it into tasks.
2. 2The supervisor routes tasks to specialized agents and re-plans when needed.
3. 3Specialized agents (research, data analysis, code, writer, notification) execute using tools and memory.
4. 4The AgentCore runtime provides memory, tool registry (MCP), identity and gateway.
5. 5Bedrock is the model layer; observability and evaluation wrap it all.

Key points

• LangGraph orchestrates plan → route → execute → evaluate loops.
• AgentCore secures containers, long-running tasks and concurrency.
• Use the best model for each task; give each agent a clear role.
• LangGraph gives agents intelligence; AgentCore gives power and reliability.

Why it matters

For complex enterprise goals, a coordinated team of specialized agents outperforms one generalist. LangGraph plans and routes; AgentCore runs it securely at scale.

Frequently asked questions

What does the supervisor do?

It plans, breaks the goal into tasks, routes them to specialists and re-plans as results come in.

What runs the agents?

The AgentCore runtime, providing memory, tools, identity and scalable execution.