LangChain and NVIDIA ship NemoClaw agent blueprint
LangChain and NVIDIA ship production-ready agent blueprint
LangChain and NVIDIA announced the NemoClaw for LangChain Deep Agents blueprint on July 8, 2026, delivering an open reference architecture for building and deploying governed agent systems in enterprise environments LangChain. The blueprint packages three core components: LangChain Deep Agents, a tuned NVIDIA Nemotron 3 Ultra model profile, and NVIDIA OpenShell, all packaged as a customizable, open-source stack that enterprises can run on premises or in cloud environments.
"Today, we're announcing the NemoClaw for LangChain Deep Agents blueprint, developed with NVIDIA to help enterprises build open, governed agent systems," LangChain stated in its official announcement LangChain. NVIDIA echoed the release: "NemoClaw is a collection of open blueprints for building autonomous agents" that "packages LangChain Deep Agents, a tuned Nemotron 3 Ultra profile, and NVIDIA OpenShell into an open blueprint enterprises can customize, govern, and run anywhere" NVIDIA.
Benchmark performance: 10x cost efficiency
In LangChain's agent evaluation suite, the Nemotron 3 Ultra model with Deep Agents achieved a composite score of 0.86 at an inference cost of $4.48, while the next-closest competing model cost $43.48—roughly a 10x cost advantage LangChain. NVIDIA characterized the performance as "benchmark-leading accuracy among open models," emphasizing the stack's combination of "speed, control, and customization" NVIDIA.
The cost differential reflects tuning work applied to Nemotron 3 Ultra via LangChain's Deep Agents harness, which was specifically optimized for enterprise agent workloads. This addresses a key pain point for organizations deploying agents at scale: controlling inference costs while maintaining competitive agentic performance.
Governance and customization for enterprises
The blueprint is framed as open and governable, allowing enterprises to customize model behavior, enforce safety constraints, and audit agent decisions before deployment. By releasing an open blueprint rather than a proprietary service, LangChain and NVIDIA position the stack for adoption in regulated industries where model transparency and on-premises deployment are requirements.
The announcement represents a concrete product launch—both companies released a usable blueprint with documented performance metrics and cost comparisons, not a roadmap. The blueprint is available immediately via NVIDIA and LangChain's official documentation, enabling developers and enterprises to begin integration work.