NVIDIA NeMo Agent Toolkit
ActiveDescription
An open-source library by NVIDIA for efficiently connecting and optimizing teams of AI agents with orchestration, tool calling, and workflow management.
Key Features
- Framework agnostic — integrates with LangChain, LlamaIndex, CrewAI, Semantic Kernel, and Google ADK
- Agent profiling and observability — profile workflows from agent level down to individual tokens
- Evaluation system — validate and maintain accuracy of agentic workflows with offline evaluation tools
- Hyper-parameter and prompt optimizer — automatically find the best configuration for your agent
- MCP and A2A protocol support — integrate MCP tools and build distributed agent teams with A2A
- RL fine-tuning — fine-tune LLMs specifically for your agent workflow using reinforcement learning
Use Cases
💡 Enterprise agent deployment with production-grade instrumentation and monitoring
💡 Optimizing multi-agent workflows through profiling, evaluation, and hyperparameter tuning
💡 Building MCP-compatible agent tools and serving them as MCP servers
💡 Distributed agent teams communicating via the Agent-to-Agent protocol
💡 Reinforcement learning fine-tuning for domain-specific agent behaviors
Categories
Quick Start
# Install
pip install nvidia-nat
# Clone repo for examples
git clone https://github.com/NVIDIA/NeMo-Agent-Toolkit.git
cd NeMo-Agent-Toolkit
# Run a pre-built workflow
python examples/langchain/simple_workflow.py