honcho

Configure Honcho memory for cross-session user modeling in Hermes.

2|Updated Apr 25, 2026
One-click install
npx skills add https://github.com/AlexiosBluffMara/mercury --skill honcho-alexiosbluffmara
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: honcho
Source: https://github.com/AlexiosBluffMara/mercury/tree/main/optional-skills/autonomous-ai-agents/honcho
Command: npx skills add https://github.com/AlexiosBluffMara/mercury --skill honcho-alexiosbluffmara

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Honcho memory enables cross-session user modeling and per-profile isolation within Hermes, making memory, observation, and dialectic controls reliable across tasks and profiles.

Core Features & Use Cases

  • Cross-session memory with per-profile AI peers
  • Observability controls, session summaries, and context budget enforcement
  • Flexible recall modes, per-directory/session mapping, and Honcho tools integration

Quick Start

Run hermes honcho setup to configure Honcho for your Hermes deployment and connect to cloud or local memory.

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 memory for Hermes profiles?

Cross-session memory for Hermes profiles is enabled by running hermes honcho setup, which configures Honcho memory and connects your deployment to cloud or local memory storage for reliable per-profile isolation.

What is cross-session user modeling and when do I need it?

Cross-session user modeling persists context and observations across multiple Hermes sessions. You need it when maintaining per-directory or per-repo session continuity and isolated dialectic behavior across tasks is required.

Can I isolate memory per directory or repository in Hermes?

Yes, Honcho memory supports per-directory and per-repo session mapping within Hermes, allowing you to isolate observations, recall, and dialectic behavior for each distinct project environment.

How do I tune recall modes and context budgets in Honcho?

Recall modes and context budgets are tuned using Honcho tools like honcho_search, honcho_context, and honcho_reasoning, which expose observability controls and enforce session summary limits within Hermes.

Do I need honcho-ai installed to use Honcho memory with Hermes?

Yes, the honcho-ai package is a required prerequisite. You must install honcho-ai and complete the Honcho integration before configuring cross-session user modeling and memory tools within Hermes.

What are the limitations of using Honcho memory for multi-profile deployments?

Honcho memory relies on context budget enforcement and session summaries to manage scale. Complex multi-profile deployments require careful tuning of observation and recall controls to avoid exceeding configured memory limits.