honcho

Cross-session memory in Hermes is enabled by configuring Honcho to maintain a shared user representation across conversations. This allows user context and preferences to persist seamlessly beyond a single session.

Yes, you can isolate memory for multiple profiles within a shared workspace by configuring per-profile AI peers. Each profile maintains an isolated user representation while operating in the unified workspace environment.

Cross-session user modeling is the process of maintaining coherent user context and representations across multiple conversations. You need it when your AI peers require calibrated recall and observation depth that persists between separate session interactions.

You configure recall modes and observation toggles per profile by applying the base Honcho settings to individual Hermes profiles. This allows session-scoped memory handling and dialectic support to be customized for each profile's specific reasoning depth.

Yes, Honcho memory is designed specifically for multi-profile Hermes workflows. It calibrates observation, recall, and dialectic depth for per-profile AI peers while maintaining cross-session persistence across the entire profile setup.

Session-scoped memory handling requires explicit configuration of base Honcho settings and memory tooling access to function correctly. Without proper session scoping and recall mode setup, cross-session persistence and per-profile isolation may not maintain coherent user representations.