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.