Guardrails AI vs LangKit
Overview
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CLI (Node.js)
Manual
Detailed Comparison
It is an open-source toolkit for monitoring Large Language Models (LLMs). It extracts signals from prompts & responses, ensuring safety & security. | It is an open-source Python package for specifying structure and type, validating and correcting the outputs of large language models (LLMs). |
Text quality;
Relevance metrics;
Sentiment analysis;
A comprehensive tool for LLM observability | Enforces structure and type guarantees;
Validate and correct the outputs of large language models (LLMs);
Takes corrective actions (e.g. reasking LLM) when validation fails |
Statistics | |
GitHub Stars 954 | GitHub Stars 5.9K |
GitHub Forks 70 | GitHub Forks 471 |
Stacks 0 | Stacks 0 |
Followers 1 | Followers 0 |
Votes 0 | Votes 0 |
Integrations | |
What are some alternatives to LangKit, Guardrails AI?
Lang Protect
LangProtect is an AI security firewall that protects LLM and GenAI applications at runtime. It blocks prompt injection, jailbreaks, and sensitive data leakage while enforcing customizable security policies. Built for enterprise and regulated teams, it delivers real-time protection, visibility, and audit-ready governance.
SafeLLM — AI Security for Apache APISIX
AI security gateway for Apache APISIX. 100% air-gapped, Open Source core. CPU-capable, GPU-optional. Protect LLMs from prompt injection, PII leaks, and data exfiltration. GDPR, EU AI Act, SOC2, HIPAA compliant. Your data never leaves your VPC.
Your AI Agent Has Root Access. And Zero Guardrails.
Clawsec is an open-source security plugin that blocks dangerous actions in under 5ms. One command: openclaw plugins install clawsec
LLM Guard
It is a comprehensive tool designed to fortify the security of Large Language Models (LLMs). By offering sanitization, detection of harmful language, prevention of data leakage, and resistance against prompt injection attacks, it ensures that your interactions with LLMs remain safe and secure.
HeimdaLLM
It is a robust static analysis framework for validating that LLM-generated structured output is safe. It currently supports SQL.
Rebuff
It is a self-hardening prompt injection detector. It is designed to protect AI applications from prompt injection (PI) attacks through a multi-stage defense.
