honcho

Configure persistent AI-native memory for cross-session user modeling.

Updated Jun 17, 2026

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

Ready to run

npx skills add https://github.com/cxnaive/hermes-agent-llbot --skill honcho-cxnaive

💬 Prompt for ChatGPT / Claude Chat▼

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

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires honcho-ai.

What problem does it solve?

Honcho solves the problem of AI agents forgetting user preferences, facts, and interaction patterns across different sessions, ensuring a consistent and personalized experience.

Core Features & Use Cases

Cross-Session Memory: Maintains a persistent model of the user and the AI peer identity across multiple conversations and directories.
Dialectic Reasoning: Uses a multi-pass reasoning engine to synthesize user goals and patterns rather than just performing simple keyword search.
Use Case: A developer working on multiple projects can use Honcho to ensure their Hermes agent remembers their preferred coding style, specific project constraints, and past architectural decisions regardless of which directory they are working in.

Quick Start

Run the hermes memory setup honcho command to configure your memory provider and begin syncing your user profile and AI peer identity.

Frequently Asked Questions about honcho

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

FAQPage Schema

How do I maintain persistent AI memory across different sessions and directories?▼

Persistent AI memory across sessions is maintained by configuring a cross-session user modeling provider. This setup ensures your agent consistently tracks user preferences, facts, and interaction patterns regardless of the active working directory.

What is dialectic reasoning for AI user modeling?▼

Dialectic reasoning is a multi-pass synthesis engine that infers user goals and behavioral patterns. It moves beyond simple keyword matching to build a deeper, context-aware model for personalized AI interactions.

How do I set up cross-session memory for a multi-profile agent?▼

To set up cross-session memory, run the memory configuration command to sync user profiles and AI peer identities. You must install the required Python package to facilitate bidirectional tool-based memory access and context injection.

Do I need the honcho-ai package to enable context-aware interaction?▼

Yes, the honcho-ai package is required to enable context-aware interaction. It provides the necessary bidirectional tool-based memory access and context injection required for consistent identity and preference tracking across sessions.

Can I track user preferences across multiple working directories?▼

Yes, you can track user preferences across multiple working directories. The memory provider maintains a persistent model of the user and AI peer identity, ensuring consistent application of constraints and past architectural decisions.

What is the best way to ensure my AI agent remembers past architectural decisions?▼

The best way to ensure your agent remembers past architectural decisions is using a dialectic reasoning engine. It synthesizes interaction patterns to maintain a persistent, cross-session profile of your specific project constraints and preferences.