LangChain and NVIDIA Introduce NemoClaw Deep Agents Blueprint for Enterprise Agents
LangChain is debuting NemoClaw for LangChain Deep Agents blueprint, developed with NVIDIA, to help enterprises build, evaluate, and deploy advanced open agent systems.
According to the companies, this new blueprint combines LangChain Deep Agents Code, NVIDIA Nemotron 3 Ultra, and NVIDIA OpenShell runtime so teams can customize agents for their workloads, deploy them securely, and run them at lower cost.
"The way to build better agents is to keep improving the system around the model," said Harrison Chase, co-founder and CEO of LangChain. "Memory, tool use, evaluation, and model behavior compound when teams can tune them together. Our work with NVIDIA shows that enterprises can get strong performance from an open stack while keeping control over the agent systems they're building."
Lower inference costs also make it practical to run and evaluate more specialized agents in production. Teams can create agents for specific domains, use evals and traces to measure performance, and adapt the harness as their workflows change, the vendors said.
"Super agents have arrived," said Jensen Huang, founder and CEO of NVIDIA. "With an open model like NVIDIA Nemotron, a LangChain harness, the NVIDIA OpenShell runtime, and a company's own data, every enterprise can build custom agents that understand its business, use its tools, and turn knowledge into action. The future of AI won't be one-size-fits-all—companies will use AI cloud services and build their own AI, shaped by their proprietary data, know-how, and workflows, and run it safely and securely wherever they operate."
The NemoClaw for LangChain Deep Agents blueprint brings together three components essential for building agents for the enterprise:
- NVIDIA Nemotron 3 Ultra provides the open-weight model layer for teams that want to customize model behavior for their domains while improving agent performance and lowering cost.
- LangChain Deep Agents provides the harness layer for long-running agents, including planning, tool use, memory, and task execution. The Blueprint includes a Deep Agents harness profile is tuned for Nemotron 3 Ultra.
- NVIDIA OpenShell provides the runtime layer for secure, governed deployment, helping teams control how agents interact with tools, systems, and data.
Together, these components give teams a tuned agent system that can be deployed, measured, governed, and improved in production, the companies said.
The announcement is supported by partners across the AI infrastructure and enterprise ecosystem, including EY, who is building an implementation practice around the software stack, and Baseten, Fireworks, Nebius, Crusoe, DeepInfra, and Together AI. These partners help enterprises serve Nemotron models in production and adapt the blueprint for business critical applications.
The NemoClaw for LangChain Deep Agents Blueprint is available now. Enterprises can access the blueprint to evaluate the stack for their own workloads.
For more information about this news, visit www.langchain.com.