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honcho

Configure Honcho cross-session memory tools for Hermes multi-profile setups.

1|1|Updated Apr 26, 2026
Search Tags:#memory#cross-session#memory-management#hermes#dialectic#honcho#ai-peer
One-click install
npx skills add https://github.com/BermudaLocals/hermes-agent-lite --skill honcho-bermudalocals
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: honcho
Source: https://github.com/BermudaLocals/hermes-agent-lite/tree/main/optional-skills/autonomous-ai-agents/honcho
Command: npx skills add https://github.com/BermudaLocals/hermes-agent-lite --skill honcho-bermudalocals

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Honcho memory provides cross-session user modeling and per-profile AI peers, enabling Hermes to remember preferences, observations, and recall context across conversations while isolating profiles.

Core Features & Use Cases

  • Honcho injects persistent user memory and per-profile AI peers to create a unified workspace while preserving privacy across sessions.
  • Tools: honcho_profile, honcho_search, honcho_context, honcho_reasoning, honcho_conclude for managing memory, retrieval, and synthesis.
  • Use Cases: setting up multi-profile memories, tuning observation, and ensuring context budgets and session summaries are consistent.

Quick Start

Run hermes honcho setup to connect to Honcho memory and verify status.

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 to keep context across conversations?▼

Cross-session memory for Hermes is configured by running the honcho setup command. This connects Hermes to persistent user memory and per-profile AI peers, enabling recall of preferences and observations across conversations while isolating profiles.

Can I isolate memory and context across multiple user profiles in Hermes?▼

Yes, Hermes isolates memory and context across multiple user profiles using configurable per-profile blocks. This ensures that observations, preferences, and AI peer interactions remain separate and private across different session setups.

What tools are available for memory retrieval and reasoning in a cross-session environment?▼

The available memory tools are honcho_profile, honcho_search, honcho_context, honcho_reasoning, and honcho_conclude. These tools manage memory storage, retrieval, and synthesis with configurable recall modes and dialectic settings.

How do I optimize recall modes and observation tuning for persistent AI memory?▼

Recall modes and observation tuning are optimized through Honcho's configurable dialectic settings and context budgets. Adjusting these parameters ensures consistent session summaries and efficient context management across multi-profile setups.

Why does my Hermes session fail to recall preferences from previous conversations?▼

Hermes fails to recall preferences when cross-session memory is not properly configured or the Honcho connection is inactive. Run the honcho setup command to verify status, connect to memory, and troubleshoot observation tuning issues.

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