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Skill

honcho

From NousResearch

Configure and use Honcho memory with Hermes -- cross-session user modeling, multi-profile peer isolation, observation config, dialectic reasoning, session summaries, and context budget enforcement. Use when setting up Honcho, troubleshooting memory, managing profiles with Honcho peers, or tuning observation, recall, and dialectic settings.

Facts

Repository
NousResearch/hermes-agent
Status
Actively maintained
Last commit
Source file
optional-skills/autonomous-ai-agents/honcho/SKILL.md

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The instructions Claude Code reads when this skill runs.

# Honcho Memory for Hermes

Honcho provides AI-native cross-session user modeling. It learns who the user is across conversations and gives every Hermes profile its own peer identity while sharing a unified view of the user.

## When to Use

- Setting up Honcho (cloud or self-hosted)
- Troubleshooting memory not working / peers not syncing
- Creating multi-profile setups where each agent has its own Honcho peer
- Tuning observation, recall, dialectic depth, or write frequency settings
- Understanding what the 5 Honcho tools do and when to use them
- Configuring context budgets and session summary injection

## Setup

### Cloud (app.honcho.dev)

```bash
hermes memory setup honcho
# select "cloud", paste API key from https://app.honcho.dev
```

### Self-hosted

```bash
hermes memory setup honcho
# select "local", enter base URL (e.g. http://localhost:8000)
```

See: https://docs.honcho.dev/v3/guides/integrations/hermes#running-honcho-locally-with-hermes

### Verify

```bash
hermes honcho status    # shows resolved config, connection test, peer info
```

## Architecture

### Base Context Injection

When Honcho injects context into the system prompt (in `hybrid` or `context` recall modes), it assembles the base context block in this order:

1. **Session summary** -- a short digest of the current session so far (placed first so the model has immediate conversational continuity)
2. *
View full source on GitHub →

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