NeMo Guardrails
Toolkit for adding programmable guardrails to LLM-based conversational AI
🛡️ AgentReady threat assessment
MAESTRO 7-layer threat model + OWASP AIVSS risk score for NeMo Guardrails, derived from its capabilities.
These scores are auto-generated from public information (the agent's own listing, docs, and repository) using the canonical OWASP AIVSS formula and the MAESTRO framework — an estimate for guidance, not a penetration test, audit, or certification. See the scoring methodology — every score is re-derived by the same automated method as an agent's public evidence changes.
Overview
NeMo Guardrails is an open-source toolkit that allows developers to easily add programmable guardrails to LLM-based conversational applications. It provides a way to control and guide the output of large language models, enhancing safety, reliability, and functionality of AI chatbots and conversational agents
Key features and capabilities
- INPUT RAILS,
- DIALOG RAILS,
- RETRIEVAL RAILS,
- EXECUTION RAILS, OUTPUT RAILS,
- CUSTOMIZABLE GUARDRAILS,
- MULTI-MODEL SUPPORT,
- COLANG SCRIPTING
Use cases
- SAFETY ENHANCEMENT,
- TOPIC GUIDANCE,
- DETERMINISTIC DIALOGUE FLOWS,
- RAG INTEGRATION,
- CONVERSATIONAL AGENT DEVELOPMENT