Agentmetry provides an open-source, local-first flight recorder for AI coding agents such as Cursor, Claude Code, and Codex. It records every tool call, tags sequences with MITRE ATT&CK framework mappings, and correlates events into detections including data injection attacks. The tool runs entirely on the user's machine with no cloud dependency, making it suitable for platform teams, security engineers, and developers seeking transparent observability into agent behavior.
Agentmetry sits in PulseGate's LLM eval & observability category. It focuses on detecting and auditing potentially malicious or unintended actions performed by AI coding agents in development environments. It is built as an open-source project for security engineers and platform teams. The project is open source (Apache-2.0). Agentmetry is available on the command line, and it can be self-hosted.
blitzcrieg1 builds and maintains Agentmetry, and it first shipped in 2026. The project is developed in the open on GitHub with 232 commits in the last 90 days. Key capabilities include ATT&CK Tagging, Session Recording, and Threat Detection. It exposes integrations via an MCP server.
Summary written by a language model from the project’s public pages.
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