MetaBrain vs Nano

metaBrain is open-source local document memory for AI tools, coding agents, and humans, with searchable notes, metadata, tags, links, version history, and an optional...

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 MetaBrain

metaBrain is open-source local document memory for AI tools, coding agents, and humans, with searchable notes, metadata, tags, links, version history, and an optional local daemon. Give every agent one durable, searchable place for notes, source snippets, task context, metadata, tags, links, and version history. The quickest path is the `mb` CLI: initialize a local store, write a note, search it, and keep moving. The optional server is there later when several tools need concurrent access.

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.