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honcho

Configure cross-session memory for Hermes agents using the honcho-ai package.

Updated Jun 25, 2026
Search Tags:#context#personalization#memory#dialectic#agent-runtime#user-modeling
One-click install
npx skills add https://github.com/Rheasilvia/hermes-desktop --skill honcho-rheasilvia
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: honcho
Source: https://github.com/Rheasilvia/hermes-desktop/tree/main/optional-skills/autonomous-ai-agents/honcho
Command: npx skills add https://github.com/Rheasilvia/hermes-desktop --skill honcho-rheasilvia

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires honcho-ai.

What problem does it solve?

This Skill solves the lack of persistent, cross-session user modeling in AI agents, ensuring your agent remembers user preferences, interaction patterns, and facts across different conversations and projects.

Core Features & Use Cases

  • Cross-Session User Modeling: Builds a persistent representation of the user that evolves over time.
  • Dialectic Reasoning: Uses an internal reasoning engine to synthesize past interactions into actionable insights.
  • Multi-Profile Identity: Allows different agent profiles to maintain unique AI identities while sharing a unified workspace context.
  • Use Case: If you are working on a long-term coding project, Honcho remembers your preferred architectural patterns and coding style from previous sessions, providing more relevant and personalized assistance without needing constant reminders.

Quick Start

Use the honcho skill to check the current status of your memory configuration and verify that your AI peer is correctly synced.

Frequently Asked Questions about honcho

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I enable cross-session memory for AI agents to remember user preferences?▼

Cross-session memory is enabled by configuring the Honcho skill to build a persistent user model. It synchronizes interaction patterns and facts across different conversations using the honcho-ai package.

What is dialectic reasoning in the context of AI user modeling?▼

Dialectic reasoning is an internal engine mechanism that synthesizes past interactions into actionable insights. It allows the agent to evolve its persistent representation of the user over time.

Can I maintain multiple agent profiles with unique identities in a shared workspace?▼

Yes, multi-profile identity support allows different agent profiles to maintain unique AI identities. They can share a unified workspace context while preserving individual user modeling characteristics.

Do I need the honcho-ai package to facilitate memory synchronization?▼

Yes, the honcho-ai package is a required dependency to facilitate memory synchronization, tool-based recall, and dialectic synthesis across various deployment environments.

How do I check if my AI peer is correctly synced for workspace-aware context injection?▼

Use the Honcho skill to check the current status of your memory configuration. This verifies that your AI peer is correctly synced and ready for workspace-aware context injection.

What are the limitations of using cross-session memory for long-term coding projects?▼

While cross-session memory remembers architectural patterns and coding style, it requires consistent synchronization via the honcho-ai package. Memory recall depends on proper workspace configuration and dialectic synthesis.

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