dmx vs Nano

dmx is an open source AI-native engineering harness. It runs as an MCP server inside Cursor, Claude Code, Copilot, or any IDE that speaks the Model Context Protocol, and...

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 dmx

dmx is an open source AI-native engineering harness. It runs as an MCP server inside Cursor, Claude Code, Copilot, or any IDE that speaks the Model Context Protocol, and wraps your AI workflows in structured, verifiable loops. The model is fast and often impressive, but the output is inconsistent. Quality depends on how you prompted, whether you remembered to run tests, whether the spec was clear before the first line of code was written. There's just you and the model and whatever happened to work that day.

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.