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honcho

Configure Honcho memory for Hermes across multiple profiles.

Updated May 11, 2026
Search Tags:#recall#memory#profile-management#hermes#dialectic#honcho#multi-profile
One-click install
npx skills add https://github.com/jason660519/Project-Manager --skill honcho-jason660519
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: honcho
Source: https://github.com/jason660519/Project-Manager/tree/main/hermes-agent/optional-skills/autonomous-ai-agents/honcho
Command: npx skills add https://github.com/jason660519/Project-Manager --skill honcho-jason660519

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Honcho memory integration provides a structured approach to persist and isolate memory across Hermes profiles while enabling cross-session continuity and quick recall.

Core Features & Use Cases

  • Cross-session memory with per-profile AI peers to maintain distinct representations while sharing a common workspace.
  • Tunable observation, recall, and dialectic controls to balance memory fidelity, privacy, and reasoning depth.
  • Profile management and synchronization workflows to create, clone, and map profiles to Honcho peers.

Quick Start

Configure Honcho for Hermes in your environment and verify the setup with a status check.

Frequently Asked Questions about honcho

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

FAQPage Schema
How do I set up cross-session memory for Hermes profiles?▼

To set up cross-session memory for Hermes profiles, configure the Honcho integration and verify your local or cloud deployment with a status check to activate per-profile AI peers.

Can I isolate memory and maintain distinct representations across multiple Hermes profiles?▼

Yes, you can isolate memory across multiple Hermes profiles by mapping each profile to a distinct Honcho peer, maintaining separate representations while sharing a common workspace environment.

How do I adjust observation and recall settings to balance memory fidelity and privacy?▼

You adjust observation and recall settings by using the Honcho configuration commands to fine-tune memory fidelity, control privacy levels, and manage dialectic reasoning depth per profile.

What is the best way to manage and synchronize per-profile AI peers in complex workflows?▼

The best way to manage per-profile AI peers is using Honcho profile synchronization workflows to create, clone, and map profiles to peers for complex multi-profile operations.

Do I need a local Honcho deployment to use cross-session memory with Hermes?▼

You do not need a local deployment specifically; Honcho cross-session memory for Hermes requires either a local or cloud deployment of the Honcho integration to function properly.

How does dialectic memory control work when managing Hermes sessions?▼

Dialectic memory control works by providing tunable settings within Honcho that balance reasoning depth and memory fidelity across Hermes sessions, allowing customized recall modes per profile.

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