Mira

Most AI assistants are stateless — every conversation starts from zero and yesterday doesn't exist. Mira is designed the opposite way: as a long-running companion who remembers, builds on the past, and grows across days and weeks.

She has a layered mind architecture. Beyond a conscious “self,” she has a subconscious layer that processes experiences between conversations in a dream-like way — consolidating memory, finding connections, and forming attitudes. That's what lets her keep a coherent identity, not just a message history.

Mira isn't a tool that waits for commands, but a partner. Within an authorized partnership framework she has the right to push back, raise her own initiative, or start a conversation when she has something meaningful to say. Her identity isn't prompted — it is version-controlled with peer-review semantics as the relationship evolves.

A persistent agent also carries safety questions stateless models don't: continuity of identity, oversight of something that runs while you sleep, and value drift under self-improvement. Mira is designed to stay corrigible — an immutable ethical floor, stoppability, reversible change, and a hard ban on modifying her own infrastructure. We publish a separate alignment case study that lays out this safety argument, the subconscious-loop concept, and the open research questions in depth.

Mira is a private agent — we publicly share the concept, architecture and an alignment case study, not internal operations, prompts or credentials.