Salus

Salus is an AI Agents & Automation tool that blocks incorrect agent actions. It provides runtime guardrails and self-repair mechanisms to ensure AI agents adhere to policies.

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At a glance

Pricing

Likely Not Free

Free tier

API

Yes

Skill level

Technical

About

What is Salus?

Salus is an AI Agents & Automation tool designed to validate AI agent actions before they execute. It blocks incorrect actions at runtime, providing immediate feedback to guide retries and enable self-correction. The platform offers robust runtime guardrails that intercept and validate every tool call, ensuring actions comply with policies and are grounded in evidence. Salus also provides full visibility into agent interactions, including real-time traces, token usage, and latency breakdowns. Additionally, it features an evals capability to generate thousands of adversarial and realistic scenarios, allowing users to measure tool-call correctness pre-deployment. Salus integrates easily with popular AI frameworks like OpenAI, Anthropic, LangChain, LangGraph, and CrewAI.

Best used for

Ideal for developers and data scientists who need to ensure the reliability and safety of their AI agents, prevent incorrect actions at runtime, and provide structured feedback for self-correction. Especially valuable for validating agent behavior before deployment and gaining full visibility into agent interactions.

Common actions

secure AI agents

validate agent actions

monitor agent behavior

prevent incorrect actions

Capabilities

Key features

Runtime guardrails
Self-repair feedback
Full visibility/tracing
Pre-deployment evals
Easy integration

Target Audience

developerdata scientistproduct managerstartup founder

Integrations

openaianthropiclangchainlanggraphcrewai

Pricing & Plans

Likely Not Free

Not publicly disclosed. Check usesalus.ai for current pricing.

FAQs

What AI frameworks does Salus integrate with?

Salus is designed for easy integration with leading AI frameworks. It works seamlessly with OpenAI, Anthropic, LangChain, LangGraph, and CrewAI, allowing you to protect your agents regardless of your chosen development environment.

How does Salus help agents self-correct?

When Salus blocks an action, it provides structured feedback that clearly explains what went wrong. This detailed explanation enables the AI agent to understand the failure, learn from it, and then retry the action with a corrected approach.

Can Salus help test agent reliability before deployment?

Yes, Salus includes an 'Evals' feature that allows you to generate thousands of adversarial and realistic scenarios. This helps you measure the correctness of tool calls and validate agent behavior thoroughly before deploying your AI agents to production.

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