AI GuardrailsOpen Source✦ Free Tier

NeMo Guardrails

NVIDIA's programmable safety and control rails for LLM applications

4,000 stars● Health 80/100 — Active· commit recency (40 pts) · star momentum (30 pts) · issue ratio (20 pts) · forks (10 pts)App Infrastructure

About

NVIDIA's open-source toolkit for adding programmable safety, topic, and dialog rails to LLM applications. Define rules in Colang DSL to prevent off-topic responses, enforce output formats, and guard against prompt injection. Standard in enterprise LLM deployments.

Choose NeMo Guardrails when…

  • You need enterprise-grade programmable safety controls on LLM outputs
  • You're deploying an LLM in a regulated or customer-facing context
  • You want topic and behavior constraints that go beyond simple prompt engineering

Builder Slot

How do you keep your AI safe?Optional for most stacks

Input/output validation, topic controls, and safety rails that ensure LLM responses stay within defined policies

Dev Tools
Not applicable
App Infra
Optional
Hybrid
Optional

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Stack Genome Detection

AIchitect's Genome scanner detects NeMo Guardrails in your project via these signals:

pip packages
nemoguardrails

Integrates with (2)

LiteLLMLLM Infrastructure

NeMo Guardrails routes underlying LLM calls through LiteLLM, picking up any model LiteLLM supports as the policy-enforced backbone.

Enforce NeMo Colang policies on top of any of LiteLLM's 100+ providers without changing call sites.

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LangChainPipelines & RAG

NeMo Guardrails wraps LangChain chains and agents, intercepting prompts and responses to apply Colang flows without rewriting the chain.

Drop Colang policy enforcement onto an existing LangChain application with a wrapper rather than a rewrite.

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Alternatives to consider (2)

Pricing

✦ Free tier available

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In 1 stack

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