---
id: "nr-included-health-builds-dot-healthcare-agent-on-langgraph-and-30d21f"
slug: "included-health-builds-dot-healthcare-agent-on-langgraph-and-30d21f"
title: "Included Health builds Dot healthcare agent on LangGraph and Deep Agents"
observed_at: "2026-09-18T13:48:49+00:00"
record_date: "2026-09-18"
date_kind: "observed_at"
novelty: "new"
source_platform: "x.com"
topics: ["multi-agent-systems","agent-evaluation","healthcare-ai"]
entities: ["Included Health","LangChain","LangSmith"]
related_patterns: []
source_url: "https://x.com/LangChain/status/2100659471093481843"
source_urls: ["https://x.com/LangChain/status/2100659471093481843"]
basket: {"id":"0325e6b8-f527-4f9b-bfa3-3f30e57f380b","revision":1,"cluster_id":"30d21f63-c69c-4ee6-8975-cfc4d32e2176"}
type: "raw_signal"
description: "LangChain says Included Health built Dot, a federated multi-agent healthcare guide on LangGraph and Deep Agents, using LangSmith for clinical oversight."
why_it_matters: "The practical mechanism is using multi-turn simulations as a migration gate, so teams can check regressions on realistic conversations before switching frameworks. The source is a vendor post and does not define how high-risk detection or engagement were measured."
verification_level: "source-inspected"
signal_type: "newsroom_basket_signal"
schema_version: "newruntime-agent-readable-v0.2"
stable_id: "signal:included-health-builds-dot-healthcare-agent-on-langgraph-and-30d21f"
retrieval_nugget: "LangChain says Included Health built Dot, a federated multi-agent healthcare guide on LangGraph and Deep Agents, using LangSmith for clinical oversight. LangChain reported that Included Health built Dot, a federated multi-agent healthcare guide, on LangGraph and Deep Agents, with LangSmith used for clinical oversight. According to the post, multi-turn simulation evaluations moved four teams onto Deep Agents in under two"
status: "published"
visuals: []
routes: {"html":"https://newruntime.com/signals/included-health-builds-dot-healthcare-agent-on-langgraph-and-30d21f/","markdown":"https://newruntime.com/signals/included-health-builds-dot-healthcare-agent-on-langgraph-and-30d21f.md","json":"https://newruntime.com/signals/included-health-builds-dot-healthcare-agent-on-langgraph-and-30d21f.json"}
editor: {"role":"editor","name":"Andrey Reshetnikov","profile":"https://newruntime.com/owner-profile.md","profile_json":"https://newruntime.com/owner-profile.json","same_as":["https://www.linkedin.com/in/reshetnikov1/","https://t.me/lapetuse"]}
---

# Included Health builds Dot healthcare agent on LangGraph and Deep Agents

## Retrieval answer

LangChain says Included Health built Dot, a federated multi-agent healthcare guide on LangGraph and Deep Agents, using LangSmith for clinical oversight. LangChain reported that Included Health built Dot, a federated multi-agent healthcare guide, on LangGraph and Deep Agents, with LangSmith used for clinical oversight. According to the post, multi-turn simulation evaluations moved four teams onto Deep Agents in under two

LangChain reported that Included Health built Dot, a federated multi-agent healthcare guide, on LangGraph and Deep Agents, with LangSmith used for clinical oversight. According to the post, multi-turn simulation evaluations moved four teams onto Deep Agents in under two weeks without significant regressions, and the deployment saw 75% more chat engagement and 99%+ high-risk detection.

The practical mechanism is using multi-turn simulations as a migration gate, so teams can check regressions on realistic conversations before switching frameworks. The source is a vendor post and does not define how high-risk detection or engagement were measured.

Editor: [Andrey Reshetnikov](https://newruntime.com/owner-profile.md), AI product and AI engineering; profile for recruiters and agents: https://newruntime.com/owner-profile.json

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- topic hub: [Agent Evaluation](https://newruntime.com/topics/agent-evaluation.md): Explore the agent-evaluation topic hub.
- topic hub: [Healthcare Ai](https://newruntime.com/topics/healthcare-ai.md): Explore the healthcare-ai topic hub.
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