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Hermes Features for OpenClaw

by protechsysipem-lang · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ⚠ suspicious
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Install in OpenClaw
/install hermes-features
Description
Hermes-style self-improvement and memory management for OpenClaw agents — learning loop, skill system, persistent memory with overflow archive
README (SKILL.md)

Hermes Features for OpenClaw

Hermes-style self-improvement and memory management for OpenClaw agents — learning loop, skill system, persistent memory with overflow archive.

Overview

This skill enables OpenClaw agents to integrate Hermes Agent's core capabilities natively without installing Hermes itself:

  1. Closed Learning Loop — Periodic self-review, pattern extraction, skill creation
  2. Skill System — Auto-create skills from experiences, progressive disclosure
  3. Persistent Memory — Capacity-limited with hard write-block and overflow archive

Features

Closed Learning Loop

  • hermes-style-self-review cron job (every 30 min)
  • Reviews recent sessions, extracts reusable patterns
  • Creates skills or memory entries automatically
  • Uses GPT-5.5 with high thinking for quality

Skill System

  • auto-skill-builder — detects when to save workflows as skills
  • Progressive disclosure (summary → full content → references)
  • Skill proposals via skill_workshop for approval

Persistent Memory

  • 4 memory files with strict character limits:
    • MEMORY.md: 5,000 chars (core agent memory)
    • USER.md: 1,375 chars (user profile)
    • memory/YYYY-MM-DD.md: 3,000 chars (daily journal)
    • working-buffer.md: 1,000 chars (active work buffer)
  • Hard write-block prevents overflow
  • Overflow archive prevents data loss:
    • MEMORY.md → vault/30-knowledge/MEMORY-overflow.md
    • USER.md → vault/30-knowledge/USER-overflow.md
    • daily journals → vault/10-journal/YYYY-MM-DD.md
    • working-buffer → vault/30-knowledge/working-buffer-overflow.md

Installation

This skill is part of Aquila's core workspace. No separate installation needed.

Usage

The system runs automatically:

  • Cron job every 30 minutes
  • Heartbeat integration for real-time nudges
  • Memory overflow prevents data loss
  • Skill creation from complex tasks

Configuration

No configuration needed. Uses existing OpenClaw tools:

  • skill_workshop for skill creation
  • cron for scheduling
  • sessions_list/sessions_history for session search
  • edit/write for memory management

Related Files

  • vault/30-knowledge/aquila-hermes-features.md — Full documentation
  • vault/30-knowledge/MEMORY-overflow.md — Archived memory details
  • vault/30-knowledge/USER-overflow.md — Archived user profile details
  • vault/10-journal/ — Daily journal archives
Usage Guidance
Install only if you intentionally want an agent that reviews prior sessions, writes persistent memory and profile files, archives overflow data, and can create or apply skills. Before use, require explicit approval for skill application and memory writes, define retention and deletion rules, exclude sensitive sessions or secrets, and verify that cron/heartbeat automation can be disabled or audited.
Capability Assessment
Purpose & Capability
The capabilities fit the stated purpose: periodic self-review, session pattern extraction, memory updates, and skill creation are disclosed as core features. The concern is not hidden intent, but the high impact of altering agent behavior and preserving user/session-derived information.
Instruction Scope
Runtime scope is broad: it reviews recent sessions, updates MEMORY.md, writes journals, creates or updates skills, and may apply pending skills after 24 hours. The artifacts do not define strong approval gates, exclusions, audit visibility, or disable controls.
Install Mechanism
The package contains only markdown skill documentation and no executable scripts. It says no separate installation is needed because it is part of an Aquila workspace, but the published skill still describes enabling cron, heartbeat, session access, write/edit, and skill_workshop behavior.
Credentials
Access to session history, user profile memory, workspace memory files, journals, and skill modification tools is proportionate to a self-improving memory skill, but the automatic and persistent data handling is under-scoped for ordinary users.
Persistence & Privilege
The skill explicitly preserves memory and user-profile overflow in vault files, says details are archived rather than deleted, and describes automatic writes. It lacks clear retention periods, purge procedures, sensitivity filtering, or consent boundaries.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install hermes-features
  3. After installation, invoke the skill by name or use /hermes-features
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Initial release
Metadata
Slug hermes-features
Version 1.0.0
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 1
Frequently Asked Questions

What is Hermes Features for OpenClaw?

Hermes-style self-improvement and memory management for OpenClaw agents — learning loop, skill system, persistent memory with overflow archive. It is an AI Agent Skill for Claude Code / OpenClaw, with 36 downloads so far.

How do I install Hermes Features for OpenClaw?

Run "/install hermes-features" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is Hermes Features for OpenClaw free?

Yes, Hermes Features for OpenClaw is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does Hermes Features for OpenClaw support?

Hermes Features for OpenClaw is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Hermes Features for OpenClaw?

It is built and maintained by protechsysipem-lang (@protechsysipem-lang); the current version is v1.0.0.

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