honcho

Integrate Honcho cross-session memory and per-profile AI peers into Hermes.

Updated Apr 24, 2026
One-click install
npx skills add https://github.com/Harries/hermes-agent --skill honcho-harries
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: honcho
Source: https://github.com/Harries/hermes-agent/tree/main/optional-skills/autonomous-ai-agents/honcho
Command: npx skills add https://github.com/Harries/hermes-agent --skill honcho-harries

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Honcho memory provides AI-native cross-session user modeling. It learns who the user is across conversations and gives every Hermes profile its own peer identity while sharing a unified view of the user.

Core Features & Use Cases

  • Cross-session user modeling with per-profile AI peers while sharing a unified workspace.
  • Observation controls to tune what Honcho learns from each peer and how it updates representations.
  • Session-level memory management, recall, and dialectic tooling to support stable long-term context and self-improvement.

Quick Start

Run hermes honcho setup to configure Honcho memory for your profile and verify with hermes honcho status.

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 user profiles?▼

Cross-session memory is enabled by running the setup command to configure persistent user representations. This allows the system to learn who the user is across conversations and maintain stable long-term context.

What is dialectic reasoning in AI memory management?▼

Dialectic reasoning in AI memory management supports self-improvement and stable long-term context through session-level recall tooling. It enables controlled observation and persistent user representations across sessions.

Can I control what an AI peer learns from each profile session?▼

Yes, observation controls let you tune what the system learns from each peer and how it updates representations. This ensures per-profile AI peers maintain a unified view of the user.

Does Hermes support per-profile AI peers with a unified workspace?▼

Hermes supports per-profile AI peers sharing a unified workspace through base context injection and session summaries. This integration provides persistent user representations across different deployment profiles.

How do I verify cross-session memory and user modeling status?▼

You can verify cross-session memory status by running the status command after setup. This checks the integration requirements for base context injection, session summaries, and per-profile memory controls.