Configure Honcho memory for Hermes with per-profile AI peers.
npx skills add https://github.com/AlvaroBiano/hermes-agent --skill honcho-alvarobiano
Please help me install this Agent Skill. Skill: honcho Source: https://github.com/AlvaroBiano/hermes-agent/tree/main/optional-skills/autonomous-ai-agents/honcho Command: npx skills add https://github.com/AlvaroBiano/hermes-agent --skill honcho-alvarobiano
Honcho provides AI-native cross-session user modeling for Hermes, giving each profile its own AI peer while sharing a unified view of the user, enabling persistent memory and context across conversations.
Run hermes honcho setup to configure Honcho memory for Hermes across profiles.
High-intent search queries and answers about installing and using this skill.
Cross-session memory for Hermes is enabled by running the setup command to configure Honcho, which establishes per-profile AI peers and persistent context across conversations using a honcho.json configuration file.
Cross-session user modeling provides persistent memory and shared context across multiple conversations. It is needed when managing multi-profile Hermes deployments where each profile requires its own AI peer with a unified user view.
Yes, recall, observation, and dialectic settings can be tuned per-profile. Honcho exposes tools like honcho_profile, honcho_search, and honcho_context to manage these configurations for multi-agent workflows.
Honcho memory supports both cloud and local deployment setups. Per-profile configuration via honcho.json allows flexible memory management across different environments for Hermes sessions.
Memory recall issues are troubleshooted using Honcho's exposed tools, specifically honcho_search and honcho_context, to inspect and verify per-profile session data, per-directory configurations, and global session settings.
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