Configure Honcho memory integration for Gengar with multi-profile peer isolation.
npx skills add https://github.com/JamesFincher/gengar --skill honcho-jamesfincher
Please help me install this Agent Skill. Skill: honcho Source: https://github.com/JamesFincher/gengar/tree/main/optional-skills/autonomous-ai-agents/honcho Command: npx skills add https://github.com/JamesFincher/gengar --skill honcho-jamesfincher
Honcho memory helps Gengar remember who the user is across sessions by maintaining a cross-session user model and profile-specific peer identities, reducing repetition and improving continuity.
Run the Honcho configuration wizard by executing gengar honcho setup and selecting the appropriate cloud or local option.
High-intent search queries and answers about installing and using this skill.
Cross-session memory is configured by integrating Honcho with the Gengar agent, which maintains a unified user model and profile-specific peer identities across sessions to improve conversational continuity and reduce repetition.
Yes, multi-profile user modeling supports isolated AI peers per Gengar profile while sharing a unified user representation. This ensures peer isolation and prevents context bleed between distinct user profiles during cross-session recall.
Run the Honcho configuration wizard via the setup command and select either the cloud or local self-hosted option. You must provide configuration parameters like the API key or base URL, peer identities, and workspace identities to verify the connection.
Available recall modes include hybrid, context, and tools. These modes align session summaries, user representations, and AI peer cards into injected context, allowing you to control prompting behavior through cold or warm injection strategies.
Context budget enforcement is tuned alongside observation toggles, dialectic depth, cadence, and recall modes. Configuring these parameters ensures the injected context from session summaries and user representations stays within defined operational limits.
Yes, Honcho configuration requires either an API key for cloud setups or a base URL for self-hosted local instances, along with peer and workspace identities, to successfully resolve connections and verify peer information.
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