agentmirror is an open-source CLI tool designed for evaluating multi-agent AI systems in production environments where ground truth data is unavailable. Below are 8 llm eval & observability apps with similar functionality to agentmirror, matched by what each product actually does — not ranked or scored. Explore each to find the closest fit for your use case.
agent-probe-ai is an open-source CLI tool for adversarial resilience testing of AI agents. It evaluates agent robustness against attacks like memory poisoning and tool misuse, helping AI researchers and security engineers identify vulnerabilities.
agentbench-cli is an open-source command-line tool that allows AI developers and researchers to evaluate, test, and scan the behavior and safety of AI agents. It provides automated checks and reporting for agent performance and compliance.
Agent evaluation toolkit
air-agent is an open-source Python framework for building lightweight AI agents with support for OpenAI tool calling, Model Context Protocol (MCP), and parallel subagents. It is designed for developers who want to orchestrate and extend AI agent capabilities efficiently.
agentsmd is an open-source CLI tool designed to scaffold and synchronize configuration files for AI agent workspaces. It streamlines the setup process for developers building and managing AI agents, supporting efficient workspace management.
agentsec-eval is an open-source CLI framework for evaluating the security of AI agents. It provides adversarial test runners, server-side audits, and scoring mechanisms to help researchers and developers identify vulnerabilities such as prompt injection and improve agent robustness.
agentops-cockpit is an open-source, production-grade platform for managing AI agent operations via the command line. It is designed for AI engineers and developers who need robust tools for deploying and monitoring AI agents.
agent-mini is an open-source CLI tool that acts as a lightweight personal AI agent, automating shell, file, and web tasks. It supports both local and cloud LLMs, making it ideal for developers and power users seeking AI-driven automation from the command line.
