honcho

Configure cross-session memory and per-profile AI peers for MyAIOne.

Updated Apr 21, 2026
One-click install
npx skills add https://github.com/samuelmukoti/myai-agent --skill honcho-samuelmukoti
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: honcho
Source: https://github.com/samuelmukoti/myai-agent/tree/main/optional-skills/autonomous-ai-agents/honcho
Command: npx skills add https://github.com/samuelmukoti/myai-agent --skill honcho-samuelmukoti

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Honcho memory for MyAIOne provides cross-session user modeling and per-profile AI memory, enabling durable context and consistent behavior across conversations. It centralizes learning from interactions while isolating profiles, improving recall, personalization, and safety by structuring context and observations.

Core Features & Use Cases

  • Cross-session memory with per-profile AI peers and a shared user representation.
  • Tunable observation controls and recall modes to manage privacy and data retention.
  • Tools for memory access, search, and dialectic reasoning to synthesize actionable insights.
  • Use cases include setting up Honcho in cloud or self-hosted environments, troubleshooting memory issues, and refining memory behavior per profile.

Quick Start

Install and enable Honcho for the active profile with myai honcho setup, then verify status to confirm memory syncing.

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 management for MyAIOne profiles?

Per-profile AI memory works by isolating profiles while maintaining a shared user representation across sessions. This structure ensures consistent behavior and durable context for each profile during cross-session memory recall.

Can I tune observation controls and recall modes to manage data retention?

Troubleshooting memory issues involves checking the memory syncing status after setup. You can then use memory access tools and dialectic reasoning to identify context injection failures or profile isolation errors.

What is dialectic reasoning in cross-session memory systems?

Dialectic reasoning in cross-session memory systems synthesizes actionable insights from stored observations. It uses memory access and search tools to structure context and improve recall consistency.

Does Honcho support self-hosted environments for user modeling?

Honcho supports both cloud and self-hosted environments for user modeling. This flexibility allows you to centralize learning from interactions while maintaining per-profile isolation and safety.