NVIDIA NeMo Agent Toolkit
Open-source framework for building, profiling, evaluating, and optimising multi-agent AI systems. Includes safety/security engine for agent red teaming.
What it does
Open-source Python toolkit from NVIDIA for building, connecting, and optimising teams of AI agents. Framework-agnostic — works with LangChain, CrewAI, Agno, and custom agents. Key capabilities: YAML-driven workflow configuration, Agent Performance Primitives (parallel execution, speculative branching), full MCP and A2A protocol support, built-in profiling (token usage, latency, cost), and evaluation harness. Safety and Security Engine (v1.3+) enables scenario-based attack simulation, risk profiling, guardrail-ready evaluations, and agent red teaming. Part of the broader NVIDIA NeMo suite for AI agent lifecycle management.
Security relevance
Safety and Security Engine validates defences, profiles risk, monitors behaviour, and hardens agents. Supports authentication for tool calling, MCP authentication improvements, and sandboxed execution. Also supports automatic RL fine-tuning (GRPO/DPO) to improve agent reliability for specific workflows.
When to use it
Use when building production multi-agent systems that need performance profiling, security evaluation, and cross-framework integration. Particularly valuable for NVIDIA GPU-accelerated deployments.
OWASP coverage
Risks addressed — mapped to both OWASP Top 10 standards. 0 in LLM, 3 in Agentic.
The raw record
What Yuntona stores. Single source of truth — fork it on GitHub.
name: NVIDIA NeMo Agent Toolkit slug: nvidia-nemo-agent-toolkit type: Agentic category: AI Development Tools url: https://developer.nvidia.com/nemo-agent-toolkit reviewed: 2026-04 added: 2026-04 updated: 2026-04 risks: llm: [] asi: [ASI01, ASI02, ASI04] complexity: Plug & Play pricing: — audience: MLEng · Platform lifecycle: [build] tags: [A2A, Agent Framework, Evaluation, MCP, NVIDIA, Open Source, Profiling]