LangGraph + UiPath: advancing agentic automation together

LangGraph and UiPath advancing agentic automation

AI agents are transforming business operations by enabling systems to analyze data, make decisions, and optimize processes in real time. Unlike traditional automation, these intelligent agents can adapt to unfamiliar situations, reshaping how companies streamline operations, enhance decision making, and improve customer experiences. With 78% of companies planning to implement AI agents into production soon, integrating these advanced systems into critical workflows is becoming essential for maintaining competitiveness.

UiPath offers a world-class low-code platform that democratizes automation development. This approach empowers a broader range of individuals to build agents without requiring expertise as data scientists or professional developers. For advanced developers and ML teams seeking deeper customization and control, LangChain's powerful LangGraph framework allows developers to build context-aware agents that balance control with agency. Additionally, LangChain's offerings—like LangSmith and LangGraph Platform—provide robust capabilities for deploying, monitoring, evaluating, and debugging agents.

Today, we’re excited to announce:
  1. Native support for LangSmith observability in the UiPath LLM Gateway via OpenTelemetry (OTLP), enabling developers to monitor, debug, and evaluate LLM-powered features in UiPath using LangSmith either in LangChain’s cloud or self-hosted on-premises. This feature is currently in private preview.

  2. A collaboration between UiPath and LangChain centered on the Agent Protocol. Our teams are actively working on seamless interoperability between UiPath and external systems like LangGraph Platform that support the Agent Protocol.

  3. For UiPath customers seeking to incorporate LangGraph agents into their agentic automations, we are enabling deployment of LangGraph agents in UiPath infrastructure.

This partnership has two big benefits for UiPath developers:

First, the LangSmith integration will give UiPath developers a world-class observability capability to ship agents with confidence. Observability for agentic applications differs from traditional software applications, and a major challenge when building agents is understanding and trusting their behavior as they become more complex. By integrating with LangSmith, the industry leader in AI observability, we aim to help UiPath developers deploy with confidence.

Second, the LangGraph integration (through Agent Protocol or deployment) will enable UiPath developers to integrate LangGraph-powered agents into their automations, combining robust UiPath Robots, low-code agents, and human-in-the-loop features with LangGraph's agents. For example, a clinical research process built in UiPath Maestro™ can be augmented with an advanced Open Deep Research agent built with LangGraph.

Harrison Chase, CEO of LangChain, highlights the importance of this collaboration for the ecosystem:

We want to enable developers of all types to build agents. We’ve seen a key part of this be AI observability, and we’re excited to integrate LangSmith with UiPath to help even more builders ship agents with confidence. Additionally, our collaboration with UiPath on the Agent Protocol ensures that LangGraph agents can seamlessly participate in UiPath automations, broadening their reach and enabling developers to build more cohesive, cross-platform workflows.

UiPath and LangChain

Raghu Malpani, Chief Technology Officer at UiPath, emphasizes the significance of these announcements for the UiPath developer community:

Our collaboration with LangChain on LangSmith and Agent Protocol advances interoperability across agent frameworks. Further, by enabling the deployment of LangGraph agents into UiPath's enterprise-grade infrastructure, we are expanding the capabilities of our platform and opening up more possibilities for our developer community.

UiPath developers looking to incorporate LangGraph agents into their agentic automations can start building and testing these agents now using familiar Python tooling, including tools like LangSmith. They can then connect to these agents deployed on LangChain’s infrastructure, or refer to the UiPath LangChain SDK documentation to deploy on UiPath infrastructure.

Next steps

Experience the benefits of integrating LangGraph agents into UiPath today:

Topics:

Agentic
Taqi Jaffri UiPath
Taqi Jaffri

Senior Director, Product Management, UiPath

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