I ship AI things
and write the TLDR.shipped at 2am.

Most stacks treat memory as a vector store you bolt on and pray over. Mnemix treats it as governance: a gate-first, router-second layer where every write clears safety before it is allowed to land, and every read comes back already enriched.

At the core is BEAD — bi-temporal, evidence-anchored decisions. Every fact an agent acts on carries two clocks, when it was true and when it was learned, so a retrieval can be replayed, audited, and graded against reality instead of vibes.

It is the spine under everything I build — and it is designed for sub-300ms voice recall, because the place memory breaks first is a live conversation.

Six primitives compose the whole surface — recall, enrich, observe, gate, evidence, and beacon. Small enough to reason about, sharp enough that an agent stops guessing and starts knowing.

Beacon is the newest — it flips memory from reactive to proactive. Instead of waiting to be queried, the layer surfaces the salient thing to the agent before the model knows to ask for it.

The public API stays deliberately small and frozen. Hobby is free; everything past it is a conversation, not a pricing table — because the teams that need this are building voice, and voice is unforgiving.