LangChain has introduced the NemoClaw Deep Agents Blueprint in collaboration with NVIDIA, aimed at providing enterprises with customizable and high-performance open agent systems. This reference architecture allows businesses to own and adapt their AI agents, addressing the growing need for ongoing customization and governance in enterprise applications. Notably, the new platform promises benchmark-leading performance and significantly reduced inference costs, aligning with the current demand for agile AI solutions that can evolve alongside business needs.

NVIDIA: NVIDIA develops computing platforms, software, and AI technologies that power large-scale machine learning and inference workloads. The company is working directly with LangChain to release the NemoClaw Deep Agents Blueprint, providing enterprises an open stack for building and securing agent systems. This collaboration highlights NVIDIA’s push into production agent architectures that integrate its inference optimizations and security features.
LangChain: LangChain is a developer platform and open-source framework for building applications with large language models, including tools like LangGraph for agent orchestration. In this news, LangChain is collaborating with NVIDIA to deliver enterprise-focused agent systems that enterprises can fully own, customize, and govern. The partnership introduces the NemoClaw Deep Agents Blueprint as a reference architecture for open, high-performance agent deployments.
NemoClaw Deep Agents Blueprint: The NemoClaw Deep Agents Blueprint is NVIDIA’s reference architecture for building open agent systems, developed in partnership with LangChain and focused on enterprise needs. It combines LangChain’s Deep Agents capabilities with NVIDIA’s runtime management, policy controls, and inference routing to create customizable agent deployments. The blueprint enables fully open, ownable stacks that enterprises can shape and improve as business requirements evolve.

Enterprise Agent Focus: Enterprises require AI agents that support ongoing customization, governance, and iterative improvement rather than static tools.
Open Stack Collaboration: NVIDIA and LangChain have jointly developed reference architectures that combine open-source agent frameworks with secure, enterprise-grade infrastructure components.