Nano vs Retrace

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

Record, replay, fork & share AI agent executions. See every LLM call, tool call, and error your agent makes, then debug in seconds. Free for 1,000 traces/mo.

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.

About Retrace

Record, replay, fork & share AI agent executions. See every LLM call, tool call, and error your agent makes, then debug in seconds. Free for 1,000 traces/mo. Retrace records every model and tool call your agent makes, so you can re-run a failure, branch from the exact step it went wrong, and check your fix before you ship. This is the reliability loop Retrace owns, end to end. Now a production failure becomes a permanent regression test you can re-run.