agent-audit-logger is an open-source Python middleware that wraps agent frameworks to log every tool call, providing SOC 2 audit trails for small teams and developers needing compliance and traceability. Below are 9 frameworks & sdks apps with similar functionality to agent-audit-logger, matched by what each product actually does — not ranked or scored. Explore each to find the closest fit for your use case.
agent-audit-logger-mcp is an open-source Python package for generating tamper-evident, hash-chained audit logs for agent-to-agent calls. It supports MCP, HMAC signing, and compliance with EU AI Act and DORA requirements, making it suitable for regulated AI systems.
agent-audit-kit is an open-source CLI tool that scans MCP-connected AI agent pipelines for security vulnerabilities. It helps AI security engineers ensure the safety and compliance of agent-based workflows.
agentaudit-scanner is an open-source CLI tool that scans AI agent skills, rule files, and MCP configurations for security risks like prompt injections and hidden instructions. It is designed for AI security engineers and developers to ensure safe agent deployments.
agent-recorder is an open-source CLI tool that records every Claude Code and Codex session into a local, searchable SQLite database. It helps developers track, audit, and review their interactions with AI coding agents, providing observability and persistent storage for session data.
agent-diagnostics is an open-source framework for analyzing and annotating the behavior and reliability of coding agents. It provides tools for benchmarking, taxonomy creation, and structured evaluation, helping researchers and developers understand agent performance.
linuxagent is an open-source CLI tool for Linux operations, providing policy checks, audit trails, runbooks, and SSH guards. It is designed for system administrators and DevOps teams seeking secure and auditable operations.
agentaudit-eval is an open-source evaluation framework for multi-agent AI workflows. It provides tools for handoff quality scoring, failure attribution, loop detection, and cost guardrails, helping developers monitor and improve the reliability and efficiency of complex AI agent systems.
autonomous-audit is a Python package that provides a tamper-evident SHA-256 hash-chain audit log and human-readable reports for tracking AI agent decisions. It helps developers and auditors ensure the integrity and traceability of automated actions. The tool is open source and suitable for use in AI agent pipelines.
AgentLogs is an open-source platform for tracking, sharing, and analyzing AI coding agent sessions within teams. It provides observability into agent activity, integrates with Git, and supports both self-hosted and cloud deployments. Designed for engineering teams using AI agents in their workflows.
