Agentmetry vs Nano

Local-first sensor for AI coding agents. Records which agent did what, attests hook coverage, and forwards canonical events to Splunk, Elastic or Google SecOps....

An AI-native security and observability platform for cloud, local, hybrid, and air-gapped teams. Sub-second search, detection engineering, OpenTelemetry, pivt AI, and...

About Agentmetry

Local-first sensor for AI coding agents. Records which agent did what, attests hook coverage, and forwards canonical events to Splunk, Elastic or Google SecOps. Apache-2.0. Not a console and not a sandbox. It does not see which coding agent, which developer, or which MCP schema. Agentmetry records that on the laptop, with a hash chain a third party can verify, and forwards it into Splunk, Elastic, or Google SecOps. It is not a console, not a vendor cloud, and not a replacement for EDR or CNAPP.

About Nano

An AI-native security and observability platform for cloud, local, hybrid, and air-gapped teams. Sub-second search, detection engineering, OpenTelemetry, pivt AI, and deployment control in one place. Run nano in the cloud, locally, hybrid, or air-gapped. nano was built from scratch, not refactored: a dedicated cluster, one query language over your security and OpenTelemetry data, agentic investigation, and deployment options from cloud to air-gapped. So when a service slows down, "is this an outage or a breach?" is one query, not two tools and a guess.