Product update ·
Deterministic recall: memory that never waits to be asked
A session brief built from your own memories is now injected before every reply — recall stops being the model’s decision and becomes the harness’s guarantee.
The deepest problem with assistant memory has never been storage — it is recall. A model that only searches memory when it thinks to search will, on average, not think to search. This update removes that dependency.
Esment now builds a session brief — the people, projects, preferences and recent decisions the user actually cares about — and injects it into the context before the model answers. The retrieval pipeline behind it (full-text, vector, graph expansion and reranking) runs locally, in tens of milliseconds, with no network call.
What changes in practice
- Every new conversation starts from what you know, not from nothing
- The brief is inspectable: you can see exactly what was injected and why
- Writes are just as automatic — facts shared in conversation are stored and scored without prompts
- It works on every surface: macOS app, Claude Code, Cursor, and web assistants through the cloud
Deterministic injection is the difference between a memory that exists and a memory that is used.
— The Esment team
Esment builds persistent, inspectable memory for AI assistants. For press inquiries, write to hello@notas.ai.