Guardrails AI

Open source

Framework and platform for validating LLM outputs with runtime guardrails and structured checks.

by Guardrails AI (Harvey)Official site ↗Source code ↗

License: open-source
Open source: Yes

Editorial review

Guardrails AI has not yet been editorially reviewed. User reviews and published field data below are unaffected — we say so rather than implying an editorial verdict.

Facts & attributes

Every value carries its evidence state. “—” means unknown — never a silent default (P-02).

Identity · Taxonomy

Documentation(HTTPS URL): https://www.guardrailsai.com/docsVerified
Tags(open-source;cloud-native): LLM guardrails, AI reliability, GenAI, open source, hallucination detectionVerification pending

Pricing · Licensing

License model(proprietary;open-source;source-available;dual-license): open-sourceVerified
Source repository(HTTPS URL): https://github.com/guardrails-ai/guardrailsVerified
SPDX license IDs(Apache-2.0;MIT): Apache-2.0Verified

Features · Product · Fit

Core capabilities(authoring;automation;analytics): Runtime guardrails for production GenAI, Policy violation detection, Hallucination detection, Data leakage prevention, Synthetic data simulation (Snowglobe), Dynamic eval datasets for agentsVerification pending

Audience · Use · Case

Best for(Neutral editorial summary): Guardrails framework for validating and governing production GenAI outputs across any LLM and deployment environmentVerification pending
Company-size fit(individual;SMB;mid-market;enterprise): SMB, enterpriseVerification pending
Primary use cases(build;monitor;automate): GenAI reliability, LLM output validation, Agent testing before production, Production AI governanceVerification pending

Lifecycle · Versioning

Maintenance status(active;maintenance;deprecated;EOL;archived): activeVerification pending

Vendor · Maintainer

Vendor type(commercial;foundation;community;government;consortium;individual): commercialVerification pending

User reviews

Review policy

No published reviews yet.