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honcho

Configure persistent AI-native memory for Hermes agents with honcho-ai.

1|Updated Jul 31, 2026
Search Tags:#context#memory#ai-agents#hermes#dialectic#user-modeling
One-click install
npx skills add https://github.com/icyzh/hermes-web --skill honcho-icyzh
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: honcho
Source: https://github.com/icyzh/hermes-web/tree/main/optional-skills/autonomous-ai-agents/honcho
Command: npx skills add https://github.com/icyzh/hermes-web --skill honcho-icyzh

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires honcho-ai.

What problem does it solve?

Honcho solves the problem of AI agents forgetting user preferences, interaction patterns, and session history across different conversations and working directories.

Core Features & Use Cases

  • Cross-Session Modeling: Builds a persistent representation of the user and the AI peer identity that evolves over time.
  • Dialectic Reasoning: Uses an advanced reasoning engine to synthesize past interactions into actionable insights rather than just searching raw text.
  • Multi-Profile Support: Allows different agent profiles to maintain independent identities while sharing a unified understanding of the user.

Quick Start

Run the honcho setup command in your terminal to initialize the memory provider and link your Hermes profile to a cloud or local Honcho instance.

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 user memory for AI agents?▼

You can enable cross-session user memory by configuring a persistent memory provider that builds evolving user representations over time. This Skill initializes the honcho-ai package to link your agent profile to a local or cloud memory instance for continuous context recall.

What is dialectic reasoning in AI agent memory systems?▼

Dialectic reasoning in AI agent memory is an advanced synthesis method that transforms past interactions into actionable insights. Instead of performing raw text searches, it evaluates interaction patterns to build a persistent representation of user preferences and peer identity.

Can I maintain separate agent identities while sharing the same user context?▼

Yes, multi-profile support allows different agent profiles to maintain independent identities while sharing a unified understanding of the user. This enables diverse agent workflows to operate without overwriting each other's specific session identity.

Does the honcho-ai package work with local instances or does it require a cloud connection?▼

The honcho-ai package supports both local and cloud Honcho instances. You can link your Hermes profile to either environment during the terminal setup process to facilitate bidirectional tool-based memory access.

How do I customize recall modes for different agent workflows?▼

You can customize recall modes by adjusting the observation toggles and memory provider settings during configuration. This allows you to control how context is injected and synthesized for diverse agent workflows across different working directories.

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