honcho

Cross-session memory management for multiple AI profiles is handled by applying per-profile host blocks in a configuration file, allowing each profile to maintain its own AI peer within a shared workspace context.

Cross-session memory recall works by integrating shared workspace context with configurable recall modes like hybrid, context, and tools, enabling each profile to access persistent session summaries and user representations.

Yes, you can balance privacy and memory depth by adjusting configurable observation and dialectic settings, which directly control how the AI peer processes and retains session context.

A CLI is required to manage Honcho peers, synchronize profiles, and adjust memory behavior across production or development environments, providing an interactive setup for per-profile memory configuration.

The best way to maintain user context across separate AI sessions is by using a memory management system that provides session persistence, user representation, and AI peer cards within a common workspace.