NVIDIA/NeMo-Agent-Toolkit
The NVIDIA NeMo Agent toolkit is an open-source library for efficiently connecting and optimizing teams of AI agents. observed · 2026-08-28
Health v2 · maintenance only
83/100
- Activity 99
- Release rhythm 89
- Longevity 38
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.
- gap_med: 27
- age_days: 545
- days_rel: 78
- days_push: 10
- n_releases_24m: 14
Adoption not part of the score
2603 stars · 747 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
NVIDIA NeMo Agent Toolkit is an open-source Python library for connecting, orchestrating, and optimizing teams of AI agents across any agentic framework such as LangChain, LlamaIndex, CrewAI, and Semantic Kernel. It provides YAML-configured workflows, profiling, evaluation, observability integrations, and serving via CLI commands or MCP/A2A servers.
Use cases
- connect existing enterprise agents to tools and data sources across frameworks
- profile multi-agent workflows to find bottlenecks and token costs
- evaluate and optimize agent prompts and parameters automatically
- serve an agent workflow as an HTTP or MCP server
- build multi-agent systems that interoperate via the A2A protocol
- run agents against NVIDIA NIM, OpenAI, Azure OpenAI, or AWS Bedrock models
When to choose
- you need a framework-agnostic layer to unify agents built with different frameworks
- you want enterprise-grade profiling, evaluation, and observability for agent workflows
- you are invested in the NVIDIA ecosystem (NIM, NeMo Retriever) or need A2A/MCP serving
- you want YAML-driven, composable agent workflows reusable across applications
When to avoid
- you want a lightweight single-agent framework with minimal setup
- you need a framework with the largest community and third-party ecosystem
- your use case is simple prompting or chat without multi-agent orchestration
- you prefer not to depend on NVIDIA-maintained tooling
Facets
library · maturity active
agent-framework llm-inference rag mcp monitoring workflow-automation large-language-models artificial-intelligence developer-tools python cloud self-hosted multi-agent observability profiling framework-agnostic nvidia yaml-config a2a-protocol evaluation ai-agents docker
10 sources
- readme: https://github.com/NVIDIA/NeMo-Agent-Toolkit · fetched 2026-08-28 · 553e92a3ba1e
- homepage: https://docs.nvidia.com/nemo/agent-toolkit/latest/ · fetched 2026-08-29 · 2a9d5ea31ca6
- site_page: https://docs.nvidia.com/nemo/agent-toolkit/latest/get-started/installation.html · fetched 2026-08-29 · c54e5bb89a39
- site_page: https://docs.nvidia.com/nemo/agent-toolkit/latest/build-workflows/about-building-workflows.html · fetched 2026-08-29 · 460e954b9bf6
- site_page: https://docs.nvidia.com/nemo/agent-toolkit/latest/run-workflows/about-running-workflows.html · fetched 2026-08-29 · 5077cb7fac6e
- site_page: https://docs.nvidia.com/nemo/agent-toolkit/latest/improve-workflows/about-improving-workflows.html · fetched 2026-08-29 · 75c7162ba13e
- site_page: https://docs.nvidia.com/nemo/agent-toolkit/latest/components/integrations/index.html · fetched 2026-08-29 · 6d4b80468db3
- site_page: https://docs.nvidia.com/nemo/agent-toolkit/latest/components/integrations/frameworks.html · fetched 2026-08-29 · 55413c162d5a
- site_page: https://docs.nvidia.com/nemo/agent-toolkit/latest/components/integrations/a2a.html · fetched 2026-08-29 · 5e5d3130dadc
- site_page: https://docs.nvidia.com/nemo/agent-toolkit/latest/components/integrations/integrating-aws-bedrock-models.html · fetched 2026-08-29 · f79633b6260a
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| NVIDIA/NeMo-Agent-Toolkit | main | 83 |
For agents
markdown · JSON · MCP: product_card(name="NVIDIA/NeMo-Agent-Toolkit")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem