Memoars vs Nano

Memoars is a user-owned, encrypted memory layer that carries approved context across AI assistants while keeping you in control of what is learned, changed, and forgotten.

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 Memoars

Memoars is a user-owned, encrypted memory layer that carries approved context across AI assistants while keeping you in control of what is learned, changed, and forgotten. Only encrypted memory content is written to your bucket. Memory content is ciphertext, while organization, workspace, identity, grant, version, usage, transcript, and proposal metadata may be visible to the coordinator. On an opt-in run, the dreamer will review this lifecycle and propose what to keep, update or merge. Running memoars against your own bucket is free and complete: one agent, one machine, fully encrypted.

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.