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LLM Guard
OSS guardrails toolkit by Protect AI
● Health 45/100 — Slowing· commit recency (40 pts) · star momentum (30 pts) · issue ratio (20 pts) · forks (10 pts)by protect-aiApp Infrastructure
About
MIT-licensed Python toolkit for LLM input/output filtering — prompt-injection detection, PII redaction, toxicity, anonymisation, bias, and more. Top OSS choice for self-hosted runtime guardrails in 2026.
Choose LLM Guard when…
- •You need OSS, self-hosted guardrails you can audit
- •You want a pluggable validator chain over your own LLM calls
- •You cannot send prompts to a managed third-party guardrails service
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
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pip packages
llm-guardIntegrates with (1)
Alternatives to consider (2)
Pricing
✦ Free tier available
OSSFree
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