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Public story · 2026-03-19 · source-backed
LangChain and NVIDIA announced a combined enterprise stack: LangGraph, Deep Agents, and LangSmith with NVIDIA NIM microservices, Nemotron, NeMo Agent Toolkit, and Dynamo inference engine. LangSmith has processed over 15 billion traces and 100 trillion tokens. NIM delivers 2.6x higher throughput versus standard deployments. NeMo Guardrails enforces content safety at the agent layer. The first platform bundling observability, guardrails, and inference optimization in one enterprise offering. LangChain Blog
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Strategic partnership produces an enterprise research system combining NVIDIA's parallel execution with LangGraph runtime. Positions LangGraph as the orchestration layer for NVIDIA-powered agentic compute. Source
NVIDIA released AI-Q, an open-source enterprise deep research agent that claims top positions on DeepResearch Bench I and II using hybrid frontier/open models at half the query cost. Bundled with NemoClaw secure agent runtime and the Nemotron model family, integrated into Lang...
Three moves, two days, no coordination between them. August 10–11: GitHub shipped Ollama as a BYOK provider inside Copilot for JetBrains (GitHub Changelog). Unsloth released Unsloth Desktop with a command literally named unsloth start claude, which points Claude Code and Codex...
NVIDIA debuted the Nemotron 3 family for agentic AI. Nano (30B params, 3B active via MoE) delivers 78% HumanEval, native 1M-token context, and 4x higher throughput than Nemotron 2 via hybrid Mamba-Transformer architecture. Critical developer angle: NVIDIA open-sources NeMo Gym...
NVIDIA launched Nemotron 3 Super — a 120B total / 12B active parameter hybrid Mamba-Transformer MoE, open, designed specifically for multi-agent workloads, and delivering 5x higher throughput than Nemotron 2 at the same active parameter count (NVIDIA Newsroom). It ships with a...
Polly ships to general availability as an AI assistant (Cmd+I) across all LangSmith pages. It reads 300-step agent traces, retains context across page navigation, and takes actions — modifying prompts, generating datasets from failing runs, writing evaluator code, comparing ex...
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