Salus

Founded by Vedant Singh

Guardrails to validate your agent's actions before they execute

Cost

Demo

Rating

★ Mixed Reviews

Time to value

Quick Setup (< 1 hour)

You can use Salus to protect your AI agents from making costly mistakes by validating all their actions at runtime. It blocks incorrect tool calls before they execute, provides structured feedback to help agents self-correct, and offers full visibility into every agent interaction. The system includes pre-deployment evaluation capabilities and works with major AI frameworks like OpenAI, Anthropic, and LangChain through simple decorator integration.

What Salus does

Add runtime validation to existing agent toolsConfigure policy rules for agent actionsMonitor agent interactions in real-timeGenerate test scenarios for agent evaluationReview blocked actions and feedback logsIntegrate with existing AI agent frameworksSet up evidence requirements for critical actionsTrack agent performance metrics and latencyIntercepts and validates tool calls at execution timeBlocks actions that violate policy or lack evidenceReturns structured feedback for agent self-correctionReal-time monitoring of agent interactionsFull trace visibility with token usage breakdownGenerates adversarial test scenariosOne decorator integration per tool callWorks across multiple AI frameworks