aport-agent-guardrails is an open-source core library that provides pre-action authorization and security guardrails for AI agent and LLM frameworks. Below are 12 autonomous agents & workflows apps with similar functionality to aport-agent-guardrails, matched by what each product actually does — not ranked or scored. Explore each to find the closest fit for your use case.
aport-agent-guardrails-langchain is an open-source package providing guardrail and validation support for AI agent tool calls in LangChain and LangGraph. It helps developers ensure safe and reliable agent workflows by handling asynchronous callbacks and enforcing constraints.
action-guardrail is an open-source Python package providing a policy evaluation layer for AI agent tool calls. It helps developers enforce safety and compliance by validating actions before execution, making it suitable for building robust agent-based AI systems. Distributed under the MIT license.
ai-agentguard is an open-source CLI tool that monitors AI coding agents for security threats such as remote code execution, MCP poisoning, and API key theft. It is designed for developers working with AI agent frameworks to enhance security.
ragbits-guardrails is an open-source Python module that provides guardrails and evaluation tools for Ragbits GenAI components. It helps developers ensure the safety and reliability of generative AI applications by enforcing constraints and monitoring outputs.
Enterprise AI guardrails: input gateway, multi-agent debate output verification, confidence scoring, and RAG pipeline — all in one SDK.
theaios-guardrails is an open-source CLI tool and policy engine that enables developers to define and enforce guardrails for AI agents using declarative YAML configurations. It helps ensure AI agent safety and compliance with governance policies throughout their lifecycle.
AgentGuard is an open-source desktop and CLI tool that provides local guardrails for AI coding agents. It blocks secrets, protects dependencies, compresses shell and context output, and offers logs and analytics. Designed for developers seeking to secure and optimize AI agent workflows.
agentlint is an open-source CLI tool that provides real-time quality guardrails and linting for AI coding agents. It helps developers maintain code quality and safety by integrating with agentic coding workflows and enforcing best practices.
inter-agent-guard is an open-source security firewall library designed for multi-agent AI systems. It helps developers protect their agent-based applications from prompt injection and other security threats, with features like LangGraph integration and multi-agent support.
agent-security-harness is an open-source CLI tool that automates security and compliance testing for AI agent systems. It supports MCP and other protocols, providing a comprehensive suite of tests aligned with industry standards for developers and security teams.
agentic-guard is an open-source static analysis tool that scans LLM agent code for prompt injection and confused-deputy vulnerabilities. It helps AI developers and security engineers ensure the safety of agentic software.
AgentGuard is an infrastructure tool for runtime governance, compliance, and security of production AI agents. It integrates with popular AI frameworks and provides audit logging, policy enforcement, and regulatory compliance features for organizations deploying autonomous agents.
