For AI agents: a documentation index is available at the root level at /llms.txt and /llms-full.txt. Append /llms.txt to any URL for a page-level index, or .md for the markdown version of any page.
DocumentationAPI Reference
DocumentationAPI Reference
  • About
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    • Ecosystem
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  • Agent Server
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    • Add a benchmark
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  • Training Tutorials
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    • Unsloth
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  • Model Recipes
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  • Reference
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On this page
  • Environment Libraries
  • Training Framework Libraries
  • Agent Harnesses
  • Related NeMo Libraries
  • Data
  • Evaluation & Training
  • Deployment
About

Ecosystem

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Architecture

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Release Notes

NeMo Gym is integrated with the broader agentic ecosystem. We would love your contribution! Open a PR to add an integration, or file an issue to share what would be valuable for you.


Environment Libraries

Seamlessly combine environments and benchmarks from other libraries alongside NeMo Gym environments, with access to over 1,000 community-contributed environments across integrated libraries.

  • Aviary
  • Harbor
  • OpenEnv
  • Reasoning Gym
  • Verifiers

Training Framework Libraries

Use environments for SFT and RL training. If you’re interested in integrating another training framework, see the Training Framework Integration Guide.

  • NeMo RL
  • Unsloth
  • VeRL

Agent Harnesses

Agent harnesses are available out of the box for evaluation and training. Some examples:

  • OpenHands - software engineering agent harness
  • Mini SWE Agent - software engineering agent harness
  • LangGraph - agent patterns built with LangGraph (reflection, orchestration, parallel thinking)

Related NeMo Libraries

NeMo Gym is a component of NVIDIA NeMo, a GPU-accelerated platform for training generative AI models and optimizing AI agents.

Depending on your workflow, you may also find these libraries useful:

Data

LibraryPurpose
NeMo CuratorScalable data preprocessing and curation
NeMo Data DesignerGenerate synthetic training data from scratch or seed examples
NeMo Safe SynthesizerGenerate privacy-safe synthetic copies of sensitive datasets
NeMo AnonymizerDetect and replace sensitive data

Evaluation & Training

LibraryPurpose
NeMo GymEvaluate and improve models and agents using environments (this project)
NeMo EvaluatorModel evaluation and benchmarking
NeMo RLScalable post-training with GRPO, DPO, and SFT
NeMo Megatron-BridgePretraining and fine-tuning with Megatron-Core
NeMo AutoModelPyTorch native training for Hugging Face models

Deployment

LibraryPurpose
NeMo Agent ToolkitConnect and optimize teams of AI agents
NeMo GuardrailsEnforce safety and policy rules
NeMo RetrieverDocument extraction and retrieval for RAG pipelines