Maestro Memory

What problem does it solve?

Prevents important learnings from being lost while stopping sensitive, query-heavy, or operationally risky information from being stored in the wrong memory layer.

Core Features & Use Cases

• Memory layer selection: Separates short curated seeds (file memory) from long-term conversational/user modeling (Honcho).
• Durable state guidance: Directs persistent facts to the correct run-ledger, docs, kanban, or workflow specs instead of memory.
• Safety and risk-aware updates: Sets clear rules for what must be drafted for review versus what can be recorded immediately.

Quick Start

Ask the AI to map a new learning or preference to the appropriate storage destination using Maestro Memory’s update rules.