honcho

Name: honcho
Availability: InStock
Author: zangjeicy

Configure cross-session memory and user modeling for AI agents with Honcho.

Updated Jul 13, 2026

Search Tags:#context #personalization #memory #agent-memory #dialectic #user-modeling

Ready to run

npx skills add https://github.com/zangjeicy/Hermes --skill honcho-zangjeicy

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: honcho
Source: https://github.com/zangjeicy/Hermes/tree/main/optional-skills/autonomous-ai-agents/honcho
Command: npx skills add https://github.com/zangjeicy/Hermes --skill honcho-zangjeicy

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires honcho-ai.

What problem does it solve?

This skill solves the problem of AI agents forgetting user preferences, interaction patterns, and context across different sessions, ensuring a continuous and personalized experience.

Core Features & Use Cases

Cross-Session Memory: Maintains a persistent user representation and session history that evolves over time.
Multi-Profile Isolation: Allows different agent profiles to maintain independent identities while sharing a unified understanding of the user.
Dialectic Reasoning: Uses advanced reasoning rounds to synthesize user goals and patterns, providing deeper insights than simple keyword search.

Quick Start

Use the honcho skill to initialize the memory system and sync your current profile configuration.

Frequently Asked Questions about honcho

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

FAQPage Schema

How do I maintain persistent context and user preferences across different AI agent sessions?▼

Cross-session memory maintains a persistent user representation and session history that evolves over time, ensuring a continuous and personalized experience across different agent interactions.

How does dialectic reasoning improve user modeling for AI agents?▼

Dialectic reasoning uses advanced reasoning rounds to synthesize user goals and patterns, providing deeper insights into user behavior than simple keyword search or basic context retrieval.

Can I isolate multiple agent profiles while sharing a unified understanding of the user?▼

Multi-profile isolation allows different agent profiles to maintain independent identities while sharing a unified understanding of the user, enabling distinct session-aware interactions.

What is the best way to enforce context budgets and manage peer identity in AI agents?▼

Configuring cross-session memory with the Honcho framework enforces context budgets, manages peer identity, and sets bidirectional observation parameters for multi-profile agent environments.

Do I need the honcho-ai framework to enable session-aware interaction and memory management?▼

Yes, the honcho-ai framework is required as a dependency to initialize the memory system, configure cross-session context, and sync your current agent profile for dialectic reasoning.

Why does my AI agent forget user interaction patterns and context after a session ends?▼

Agents forget preferences without cross-session memory, but persistent user modeling solves this by maintaining evolving session history and continuous context across multiple interactions.