{"categories":[{"label":"Artificial Intelligence","url":"https://skillfed.io/packages/category/scientific-engineering-artificial-intelligence/7"}],"enrichment":{"capability":"Integrates enterprise agents with data sources and tools across any agentic framework, treating agents and workflows as composable function calls.","skillfed_tags":["agent-framework","observability","composable-workflows"],"use_cases":["Build reusable agent components that work across CrewAI, LangChain, Llama-Index, or other frameworks without rewriting.","Profile and debug multi-agent workflows to identify bottlenecks in tool execution and token consumption.","Integrate external data sources and MCP-compatible tools into agents as standardized function calls.","Monitor agent behavior and workflow performance using OpenTelemetry with LangSmith, Phoenix, Arize AX, or W&B Weave.","Evaluate agent accuracy and reliability across production deployments with built-in evaluation tools."],"what_it_does":"NVIDIA NeMo Agent Toolkit is a library for building and composing enterprise agents that work with any agentic framework. It abstracts agents, tools, and workflows as reusable function calls, letting you build components once and deploy them across different systems without replatforming. The toolkit includes profiling to track token usage and timing, observability hooks for OpenTelemetry-compatible monitoring tools, an evaluation system for validating agent accuracy, a UI for interaction and debugging, and support for Model Context Protocol (MCP) servers as tool sources.\n\nThe package is designed for developers already familiar with NeMo Agent Toolkit who need it as a dependency in their own projects. It depends on nvidia-nat-core at runtime and supports current Python versions (3.11\u20133.13). The project is actively maintained by NVIDIA with recent commits and a growing user base.","worth_installing":"Yes, if you are building or extending agents and need framework-agnostic composition, observability, and profiling. The active maintenance, permissive license, low install friction, and zero known vulnerabilities make it a safe choice. Not recommended for first-time NeMo Agent Toolkit users; the documentation suggests installing from the source repository first to learn the toolkit."},"id":"nvidia-nat","links":{"html":"https://skillfed.io/packages/nvidia-nat","md":"https://skillfed.io/packages/nvidia-nat.md","pypi":"https://pypi.org/project/nvidia-nat/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2026-06-17","license_spdx":null,"license_treatment":"permissive","name":"nvidia-nat","python_support":"supports_current","summary":"NVIDIA NeMo Agent Toolkit"},"popularity":{"monthly_downloads":212416,"position":9455,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"1.8.0"}