Agentmetry
A local-first auditing tool for developers and security teams using AI coding agents, helping produce tool-call logs, agent behavior audit trails, and basic security monitoring records.
Tool overview
Based on the available evidence, Agentmetry is better classified as a newly launched open-source security project with a clear concept, not a broadly validated enterprise agent-security platform. The main proof of attention is its GitHub repo launch and two X posts introducing the idea. That shows growing concern around whether AI coding agents may read sensitive files or send data outward, but reposts and launch chatter only show interest, not that the tool is already reliable, low-noise, or production-proven.
The stronger evidence for capability still comes mostly from the official repo description itself. From the repo and posts, this is not a framework for building AI agents, and it is not a full replacement for a general SIEM. A more accurate analogy is a local flight recorder plus security sidecar for AI coding agents. It captures tool calls and approval events, provides a MITRE ATT&CK-mapped audit trail, sequence detection, and visibility into sensitive-file access and DLP/security monitoring. One X post also mentions forwarding data to systems like Loki and Elasticsearch.