LangChain and NVIDIA launch the NemoClaw Deep Agents Blueprint

The newly announced NemoClaw for LangChain Deep Agents blueprint, developed in collaboration with NVIDIA, aims to enhance the performance of production agents by providing an open and governed framework for enterprises. This blueprint integrates LangChain Deep Agents Code, NVIDIA Nemotron 3 Ultra, and NVIDIA OpenShell runtime to allow teams to customize, secure, and optimize agents for specific workloads, achieving advanced performance at a significantly reduced cost. By tuning the model, harness, evaluations, and runtime together, enterprises can build proprietary systems that reflect their unique domain expertise while maintaining control over the agent stack. The open model layer of Nemotron 3 Ultra is complemented by a tuned agent harness from LangChain and a secure runtime from NVIDIA OpenShell, enabling efficient and transparent deployment of agents. This approach allows companies to fine-tune model weights, customize harnesses, and control runtime based on various requirements, ultimately leading to more efficient and specialized agents. Supported by an ecosystem of partners like EY, Baseten, Fireworks, and Nebius, the blueprint facilitates the deployment of open agentic models in production, ensuring transparency, auditability, and cost-efficiency while meeting enterprise standards.

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