NVIDIA Launches NemoClaw Deep Agents Blueprint
LangChain · x · 2026-07-09
LangChain introduced NVIDIA's NemoClaw Deep Agents blueprint. The architecture features three core layers: an open-source model layer (Nemotron 3 Ultra) that can be customized for specific domains; a Deep Agents layer handling planning, tool calling, memory, and long-horizon tasks; and an OpenShell Runtime that provides developers with complete control, inspection, and governance.
Related event: NVIDIA & LangChain Launch Deep Agents Blueprint(4 posts)→
More from coding & agent
- Gen games don't need to be realtime — turn-based interactivity works, devs argue — djcows · 2026-10-27
- How to ace the "send us something cool" AI interview: research interviewers with agents, then focus — brandon_galang · 2026-10-27
- Give AI a clean personal-data-free machine with full control: agents running 24/7 teach you more than any course — EXM7777 · 2026-10-27
- 20 papers across 6 areas to master production-grade agentic AI engineering — MaryamMiradi · 2026-10-27
- LangChain SF meetup to compare decision model Jev vs LLM judges for agent evals — LangChain · 2026-10-27
- How Clang recognizes your popcount loop and swaps it for a single CPU instruction — jimmykoppel · 2026-10-27