A memory system for Hermes that models users across conversations and keeps separate agent profiles while sharing what is known about the user.

It helps set up cloud or self-hosted memory, manage profiles and peers, tune what is observed or recalled, and control context budgets and session summaries.

It reduces the need to repeat preferences and context in new sessions and helps multiple profiles keep their roles distinct.

honcho — Skill for Claude Code and Codex by Tommy-yw/RunbookHermes

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent

npx skills add Tommy-yw/RunbookHermes --skill honcho

Clone the repo

git clone --depth 1 https://github.com/Tommy-yw/RunbookHermes

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

README.md

[![agentmods](https://agentmods.dev/badge/skills/tommy-yw/runbookhermes/honcho/github.svg)](https://agentmods.dev/skills/tommy-yw/runbookhermes/honcho)

Your own site

<a href="https://agentmods.dev/skills/tommy-yw/runbookhermes/honcho"><img src="https://agentmods.dev/badge/skills/tommy-yw/runbookhermes/honcho/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

Your own site · 80×15

<a href="https://agentmods.dev/skills/tommy-yw/runbookhermes/honcho"><img src="https://agentmods.dev/badge/skills/tommy-yw/runbookhermes/honcho.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 65 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 4,668 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.

Origin original No closer match found in the catalogue.

Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

Model	Per session	Once invoked
Fable 5.1	$0.00065	$0.04668
Opus 5.5	$0.00026	$0.01867
Sonnet 5.5	$0.00013	$0.00934
Haiku 4.5	$0.00006	$0.00467

Measured 2mo ago against content hash e27066821bc2, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

honcho scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2mo ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

Origin

Copies of this mod

8 near-identical copies found in the catalogue:

honcho — 100% identical, 0 lines differ
honcho — 98% identical, 13 lines differ
honcho — 98% identical, 5 lines differ
honcho — 98% identical, 7 lines differ
honcho — 98% identical, 7 lines differ
honcho — 98% identical, 7 lines differ
honcho — 98% identical, 5 lines differ
honcho — 97% identical, 19 lines differ

optional-skills/autonomous-ai-agents/honcho/SKILL.md · 431 lines

How it starts

The opening of the file, as written. The whole thing — 431 lines — stays where its author put it; the contents beside it link to each section on GitHub.

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)

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

Self-hosted

hermes honcho setup
# 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

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:

Session summary -- a short digest of the current session so far (placed first so the model has immediate conversational continuity)
User representation -- Honcho's accumulated model of the user (preferences, facts, patterns)
AI peer card -- the identity card for this Hermes profile's AI peer

The session summary is generated automatically by Honcho at the start of each turn (when a prior session exists). It gives the model a warm start without replaying full history.

Cold / Warm Prompt Selection

Honcho automatically selects between two prompt strategies:

Condition	Strategy	What happens
No prior session or empty representation	Cold start	Lightweight intro prompt; skips summary injection; encourages the model to learn about the user
Existing representation and/or session history	Warm start	Full base context injection (summary → representation → card); richer system prompt

Read the full file on GitHub · 431 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

2mo ago First seen · 431 lines · 65 tokens per session scan A e27066821bc2

Subscribe to this mod's changes

honcho is a skill published in the GitHub repository Tommy-yw/RunbookHermes (510 stars, last pushed 5mo ago), licensed MIT. It adds 65 tokens to every session and 4,668 once invoked, about $0.0003 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

Memory and context

honcho next to 6 skills from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
honchoTommy-yw/RunbookHermes	Skill	510	5mo ago	MIT	A	65	Claude Code, Codex
knowledge-ingestopenclaw/openclaw	Skill	394k	yesterday	MIT	A	80	Claude Code, Codex
mem0-oss-to-platformmem0ai/mem0	Skill	68k	2d ago	Apache-2.0	A	217	Claude Code, Codex
forgetasgeirtj/system_prompts_leaks	Skill	71k	2d ago	CC0-1.0	A	74	Claude Code, Codex
Cortexdanielmiessler/LifeOS	Skill	20k	yesterday	MIT	A	184	Claude Code
memoryopensquilla/opensquilla	Skill	7.1k	6d ago	Apache-2.0	A	44	Claude Code, Codex
ha-data-storesshiwenwen/hope-agent	Skill	1.9k	yesterday	MIT	A	115	Claude Code, Codex