5 production challenges in multi-agent systems and how Deep Insight solved them

Amazon's AWS Solutions Architecture team built Deep Insight, an open-source multi-agent system that turns a CSV file and a natural-language prompt into an analysis report.

• The team says building a multi-agent system is now straightforward, but taking it to production is where the real challenges begin.
• Deep Insight uses a hierarchy of specialized agents, including Coordinator, Planner, Supervisor, Coder, Validator, Reporter and Tracker, that load data, run analyses, generate charts, validate calculations and produce a .docx report with citations.
• The system is open sourced on GitHub with a full setup guide and three deployment options spanning development to production.
• A self-hosted version runs locally through the CLI and sets up in about 10 minutes, while a web version offers a browser UI for uploading data and reviewing plans without code.
• The managed AgentCore version deploys agents on AgentCore runtime inside a private VPC, with a custom Code Interpreter on AWS Fargate and isolated per-user environments.
• All three options share the same multi-agent architecture, so an agent validated in development deploys to production as-is.