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

- Company: Amazon (amazon.com)
- Announced: 2026-10-21T23:36:47+00:00
- Category: not stated
- Coverage: not counted
- Announcement: no
- Group: routine
- Source: https://aws.amazon.com/blogs/machine-learning/5-production-challenges-in-multi-agent-systems-and-how-deep-insight-solved-them/
- Record: https://forck.live/items/26241-5-production-challenges-in-multi-agent-systems-and-how-deep-insight-solved-them
- Subject: Bedrock / Nova

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.

## Evidence

Verbatim from https://aws.amazon.com/blogs/machine-learning/5-production-challenges-in-multi-agent-systems-and-how-deep-insight-solved-them/:

> Deep Insight is open sourced on GitHub with a full setup guide, and offers three deployment options spanning development to production.

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