NeMo Agent Toolkit Examples

Each NVIDIA NeMo Agent toolkit example demonstrates a particular feature or use case of the NeMo Agent toolkit library. Most of these contain a custom workflow along with a set of custom tools (functions in NeMo Agent toolkit). These examples can be used as a starting off point for creating your own custom workflows and tools. Each example contains a README.md file that explains the use case along with instructions on how to run the example.

Installation and Setup

To run the examples, install the NeMo Agent toolkit from source, if you haven't already done so, by following the instructions in Install From Source.

Example Categories

Getting Started

scaffolding: Workflow scaffolding and project generation using automated commands and intelligent code generation
simple_web_query: Basic LangSmith documentation agent that searches the internet to answer questions about LangSmith.
simple_calculator: Mathematical agent with tools for arithmetic operations, time comparison, and complex calculations

Agents

mixture_of_agents: Multi-agent system with ReAct agent coordinating multiple specialized Tool Calling agents
react: ReAct (Reasoning and Acting) agent implementation for step-by-step problem-solving
rewoo: ReWOO (Reasoning WithOut Observation) agent pattern for planning-based workflows
tool_calling: Tool-calling agent with direct function invocation capabilities

Advanced Agents

AIQ Blueprint: Blueprint documentation for the official NVIDIA AIQ Blueprint for building an AI agent designed for enterprise research use cases.
alert_triage_agent: Production-ready intelligent alert triage system using LangGraph that automates system monitoring diagnostics with tools for hardware checks, network connectivity, performance analysis, and generates structured triage reports with root cause categorization
profiler_agent: Performance profiling agent for analyzing NeMo Agent toolkit workflow performance and bottlenecks using Phoenix observability server with comprehensive metrics collection and analysis

Custom Functions

automated_description_generation: Intelligent system that automatically generates descriptions for vector database collections by sampling and summarizing documents
plot_charts: Multi-agent chart plotting system that routes requests to create different chart types (line, bar, etc.) from data

Evaluation and Profiling

email_phishing_analyzer: Evaluation and profiling configurations for the email phishing analyzer example
simple_calculator_eval: Evaluation and profiling configurations based on the basic simple calculator example
simple_web_query_eval: Evaluation and profiling configurations based on the basic simple web query example
swe_bench: Software engineering benchmark system for evaluating AI models on real-world coding tasks

Frameworks

agno_personal_finance: Personal finance planning agent built with Agno framework that researches and creates tailored financial plans
multi_frameworks: Supervisor agent coordinating LangChain, LlamaIndex, and Haystack agents for research, RAG, and chitchat tasks
semantic_kernel_demo: Multi-agent travel planning system using Microsoft Semantic Kernel with specialized agents for itinerary creation, budget management, and report formatting, including long-term memory for user preferences

Front Ends

simple_auth: Simple example demonstrating authentication and authorization using OAuth 2.0 Authorization Code Flow
simple_calculator_custom_routes: Simple calculator example with custom API routing and endpoint configuration

Human In The Loop (HITL)

por_to_jiratickets: Project requirements to Jira ticket conversion with human oversight
simple_calculator_hitl: Human-in-the-loop version of the basic simple calculator that requests approval from the user before allowing the agent to make additional tool calls.

Memory

redis: Basic long-term memory example using redis

Model Context Protocol (MCP)

simple_calculator_mcp: Demonstrates Model Context Protocol support using the basic simple calculator example

Notebooks

first_search_agent: Demonstrates how to bring an existing agent from a framework like LangChain into this toolkit
retail_sales_agent: A simple retail agent that showcases how to incrementally add tools and agents to build a multi-agent system

Object Store

user_report: User report generation and storage system using object store (S3, MySQL, and/or memory)

Observability

redact_pii: Demonstrates how to use Weights & Biases (W&B) Weave with PII redaction
simple_calculator_observability: Basic simple calculator with integrated monitoring, telemetry, and observability features

Retrieval Augmented Generation (RAG)

simple_rag: Complete RAG system with Milvus vector database, document ingestion, and long-term memory using Mem0 platform

UI

UI: Guide for integrating and using the web-based user interface of the NeMo Agent toolkit for interactive workflow management.

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