NeMo-Agent-Toolkit  by NVIDIA

Open-source library for connecting and optimizing teams of AI agents

created 4 months ago
1,163 stars

Top 34.1% on sourcepulse

GitHubView on GitHub
Project Summary

The NVIDIA NeMo Agent Toolkit (AIQ Toolkit) is an open-source library for building, optimizing, and orchestrating AI agents. It targets developers and researchers looking to create composable, reusable, and observable agentic workflows, enabling rapid development and integration with existing enterprise systems and data sources.

How It Works

AIQ Toolkit treats agents, tools, and workflows as composable function calls, abstracting away framework-specific details. This approach allows for seamless integration of any agent framework, promoting reusability across different scenarios. It leverages a modular design with components for agents, plugins, workflows, and a UI, supporting OpenTelemetry for observability and offering built-in evaluation tools for validation.

Quick Start & Requirements

  • Install: Clone the repository, initialize submodules, fetch LFS files, create a Python environment (3.11 or 3.12), and install dependencies using uv sync --all-groups --all-extras.
  • Prerequisites: Git, Git LFS, Python 3.11 or 3.12, uv package manager. An NVIDIA API key is required for the "Hello World" example to access NVIDIA NIMs.
  • Setup: Estimated setup time is approximately 15-30 minutes, depending on download speeds and environment setup.
  • Links: Documentation, Get Started Guide, Examples.

Highlighted Details

  • Framework-agnostic design, compatible with any agentic framework.
  • Built-in profiling for identifying workflow bottlenecks and token usage.
  • Observability via OpenTelemetry integration for monitoring and debugging.
  • Evaluation system for validating agentic workflow accuracy.
  • MCP compatibility for integrating tools served by MCP Servers.

Maintenance & Community

The project acknowledges contributions from CrewAI, FastAPI, LangChain, Llama-Index, Mem0ai, Ragas, Semantic Kernel, and uv. Feedback and feature requests are handled via GitHub issues.

Licensing & Compatibility

The repository does not explicitly state a license in the provided README. Compatibility for commercial use or closed-source linking is not specified.

Limitations & Caveats

The README does not specify a license, which may impact commercial adoption. The "Hello World" example requires an NVIDIA API key, implying potential costs or vendor lock-in for certain functionalities.

Health Check
Last commit

20 hours ago

Responsiveness

Inactive

Pull Requests (30d)
146
Issues (30d)
32
Star History
430 stars in the last 90 days

Explore Similar Projects

Starred by Chip Huyen Chip Huyen(Author of AI Engineering, Designing Machine Learning Systems), Steven Hao Steven Hao(Cofounder of Cognition), and
6 more.

openai-agents-python by openai

1.5%
13k
Python SDK for multi-agent workflows
created 4 months ago
updated 18 hours ago
Feedback? Help us improve.