What problem does it solve? AI agents forget users between sessions, forcing people to repeat preferences and context. This Skill sets up Honcho memory for Hermes so user profiles, observations, and conclusions persist across conversations and profiles. ## Core Features & Use Cases - Cross-Session User Modeling: Honcho builds a persistent representation of each user from observed messages, recalled via profile, search, context, and conclude tools. - Multi-Profile Peer Isolation: Each Hermes profile gets its own AI peer while sharing one workspace, so agents develop independent views of the same user. - Tunable Observation & Recall: Configure observeMe/observeOthers toggles, recall modes (hybrid, context, tools), session strategies, and dialectic reasoning levels. - Use Case: Create a coding profile with hermes profile create coder --clone so it gets its own Honcho peer, then tune its recall mode to tools for explicit memory control. ## Quick Start Run the Honcho setup wizard with hermes honcho setup, choose cloud or self-hosted, and verify the connection with hermes honcho status.