honcho

Cross-session user modeling maintains a unified view of the user across conversations. This Skill configures Honcho memory to ensure each AI interaction builds upon previous ones for context continuity.

Peer isolation ensures each AI agent maintains its own distinct peer identity. This Skill configures multi-profile peer isolation to prevent context overlap between different agents interacting with the same user.

Set up Honcho memory by running the `hermes honcho setup` command. This configures cross-session user modeling, peer isolation, and observation settings for your AI agent.

Yes, the `honcho-ai` package is required. This Skill uses it to tune observation and dialectic reasoning settings, which dictate how an AI agent recalls and processes context.

Yes, generating session summaries is a core feature. This allows your AI agent to recall past interactions and maintain a meaningful context window across multiple user sessions.

Observation tuning adjusts how an AI agent perceives and retains user interaction data. This Skill manages these settings alongside dialectic reasoning to optimize AI performance and contextual recall.