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honcho

Configure persistent Honcho memory for Jarvis profiles with session summarization and recall mode selection.

Updated May 14, 2026
Search Tags:#session management#memory#context injection#profiles#honcho#jarvis#dialectic reasoning
One-click install
npx skills add https://github.com/SethyPagna/Secretary-Jarvis --skill honcho-sethypagna
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: honcho
Source: https://github.com/SethyPagna/Secretary-Jarvis/tree/main/src/capabilities/optional-skills/autonomous-ai-agents/honcho
Command: npx skills add https://github.com/SethyPagna/Secretary-Jarvis --skill honcho-sethypagna

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Honcho gives Jarvis persistent cross-session memory so the assistant can remember users, preserve profile-specific identity, and stay context-aware without re-reading everything every time.

Core Features & Use Cases

  • Persistent user modeling: Stores durable user preferences, facts, and interaction patterns across sessions.
  • Multi-profile isolation: Gives each Jarvis profile its own AI peer while sharing the same user workspace.
  • Memory tuning and troubleshooting: Lets you control observation, recall mode, dialectic depth, context budgets, and session strategy for reliable long-running conversations.
  • Use case: Set up a separate coding profile and a planning profile so each one builds its own identity while keeping a shared understanding of the user.

Quick Start

Ask Jarvis to set up Honcho memory for your current profile and verify that the active configuration, peer identity, and session mapping are working correctly.

Frequently Asked Questions about honcho

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

FAQPage Schema
How do I keep AI assistant memory consistent across different sessions?▼

Persistent cross-session memory stores durable user preferences and interaction patterns so the assistant remains context-aware without re-reading previous conversations. Honcho configures this persistent memory to maintain consistent identity across sessions.

Can I isolate memory for separate coding and planning profiles?▼

Multi-profile isolation gives each profile its own AI peer while sharing a single user workspace. This allows separate profiles to build distinct identities while preserving a shared understanding of the user.

How do I set up persistent memory for my current Jarvis profile?▼

To set up persistent memory, ask Jarvis to configure Honcho for your active profile. You should then verify that the peer identity, session mapping, and active configuration are correctly applied.

What settings control context budget and recall depth for long-running conversations?▼

Memory tuning controls observation parameters, recall mode selection, dialectic reasoning depth, and context budget enforcement. Adjusting these settings ensures reliable long-running conversations by managing how information is stored and retrieved.

Why does my assistant forget user preferences after starting a new session?▼

The assistant forgets preferences because persistent user modeling is not configured. Enabling cross-session memory storage ensures durable facts and interaction patterns are preserved, keeping the assistant context-aware without re-reading past inputs.

Does this approach support dialectic reasoning and persistent conclusion storage?▼

Yes, dialectic reasoning controls and persistent conclusion storage are supported for both user and AI peers. This enables the system to store finalized interaction outcomes and manage complex reasoning across active sessions.

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