LangChain and NVIDIA Release NemoClaw Blueprint for Enterprise AI Agents

Jul 9, 2026
LangChain and NVIDIA have introduced the NemoClaw for LangChain Deep Agents blueprint, combining open agent architecture, performance optimization, and governance for enterprise AI deployment. The design integrates NVIDIA Nemotron 3 Ultra, LangChain Deep Agents, and NVIDIA OpenShell to reduce inference costs and improve efficiency.

LangChain and NVIDIA have introduced the NemoClaw for LangChain Deep Agents blueprint, providing enterprises with a reference architecture for building open agent systems. The collaboration was announced in a press release and aims to help organizations create, evaluate, and deploy agents with improved performance and controlled costs.

The NemoClaw blueprint integrates three main components: NVIDIA Nemotron 3 Ultra, LangChain Deep Agents, and NVIDIA OpenShell. Nemotron 3 Ultra serves as the open-weight model layer for domain customization, LangChain Deep Agents provides the execution and memory harness, and OpenShell manages runtime governance and deployment security. LangChain’s benchmarks show the new setup achieving comparable performance to leading models at roughly ten times lower inference cost.

The initiative is supported by partners including EY, Baseten, Fireworks, Nebius, Crusoe, DeepInfra, and Together AI. These partners assist enterprises with hosting, scaling, and adapting the blueprint for regulated or business-critical applications. The NemoClaw for LangChain Deep Agents blueprint is now available for enterprise evaluation and deployment.

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