NVIDIA NeMo Agent Toolkit
by NVIDIA
Connects, profiles, evaluates, and optimizes agent workflows across frameworks like LangChain, LlamaIndex, and CrewAI, with MCP and A2A support and a `nat` CLI for Python developers.
Skills
Run and Serve Workflows
Runs YAML-defined agent workflows with `nat run` or serves them over a FastAPI server with streaming endpoints via `nat serve`.
Workflow Evaluation
Scores the accuracy of agent workflows against datasets with `nat eval` and records performance characteristics per run.
Parameter and Prompt Optimizer
Searches hyperparameters with Optuna and evolves prompts with a genetic algorithm via `nat optimize` to hit chosen metrics.
MCP Client and Server
Consumes remote MCP tools inside workflows and publishes workflow functions as MCP tools with the `nat mcp serve` command.
Related Agents
AgentScope
Builds multi-agent applications with a Python framework focused on transparency, observability, and tracing. Includes a…
Eliza
Builds autonomous agents with a TypeScript framework and large plugin ecosystem, spanning chat, social, and onchain act…
IBM ContextForge
Runs a self-hosted gateway and registry that federates MCP servers, A2A agents, and REST/gRPC APIs behind one endpoint…
PraisonAI
Builds production multi-agent systems with a Python framework and low-code layer — self-reflection, tool use, and 100+…