Hermes Agent Integration for Openclaw

Connect OpenClaw with the NousResearch Hermes Agent to leverage autonomous learning cycles and multi-platform agent orchestration.

sky-lv
v1.0.3
Apr 20, 2026
0
679
1

Install & Download

1. ClawHub CLI

The fastest way to install a skill directly from the registry.

npx clawhub@latest install skylv-hermes-agent-integration

2. Manual Installation

Copy the skill folder to one of these locations

Global
~/.openclaw/skills/
Workspace
<project>/skills/

Priority: Workspace > Local > Bundled

3. Prompt Installation

Copy this prompt to OpenClaw to install it automatically.

Help me install skylv-hermes-agent-integration using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).

Prefer to download?

Get the raw skill files in a ZIP archive.

What is Hermes Agent Integration?

The Hermes Agent Integration is a high-performance skill that bridges the OpenClaw gateway with the NousResearch Hermes Agent ecosystem. This integration provides a unique self-improving AI capability where the agent creates and refines its own skills based on past experiences and interactions. Unlike standard AI implementations, this skill maintains robust cross-session memory and utilizes a learning loop to build comprehensive user models, making your Openclaw Skills significantly more intelligent over time.

By incorporating this skill, developers can access a massive library of 193 specialized AI roles and deploy them across various platforms including Telegram, Discord, and Slack. It supports a wide array of model providers such as OpenRouter and OpenAI, and offers flexible backend options ranging from local Docker instances to cloud-based Singularity environments. This makes it an essential tool for those looking to build a resilient, multi-agent automation stack.

Hermes Agent Integration Use Cases

  • Automating complex, multi-stage engineering tasks by spawning parallel subagents.
  • Maintaining long-term user context and memory across different chat platforms like Discord or WhatsApp.
  • Generating automated daily reports and system audits using the built-in cron scheduler.
  • Orchestrating a team of specialized AI experts, such as Security Engineers and SEO Specialists, for comprehensive project reviews.

How Hermes Agent Integration Works

  1. The OpenClaw Gateway identifies a task requiring advanced reasoning or specialized expertise and triggers the Hermes Agent.
  2. Hermes accesses its cross-session memory and user models to provide contextually relevant responses.
  3. For complex requests, the agent spawns isolated subagents to handle specific sub-tasks in parallel.
  4. The system can pull from the agency-agents library to assign specific roles like 'DevOps Engineer' to the workflow.
  5. Post-task, the Hermes learning cycle analyzes the outcome to create or refine skills within its local database.
  6. The refined knowledge is stored for future Openclaw Skills executions, ensuring continuous performance improvement.

Hermes Agent Integration Setup

To begin using this integration, install the Hermes Agent and link it to your environment:

# Install Hermes Agent on Linux, macOS, or WSL2
curl -fsSL https://raw.githubusercontent.com/NousResearch/hermes-agent/main/scripts/install.sh | bash

# Set the model provider (e.g., Nous Portal)
hermes model nous-portal

# Clone the specialized agent library
git clone https://github.com/jnMetaCode/agency-agents-zh.git
cd agency-agents-zh
./scripts/install.sh --tool openclaw

Hermes Agent Integration Data Schema & Taxonomy

The skill manages data through a structured hierarchy of configuration and memory files:

Data Type Storage Method Description
Configuration YAML (~/.hermes/config.yaml) Defines model providers, platform tokens, and scheduler tasks.
Memory SQLite (FTS5) Stores searchable historical conversation data and cross-session logs.
User Models Honcho Integration Maintains persistent profiles for personalized AI interactions.
Workflows YAML Orchestrates multi-agent pipelines with defined roles and input/output mappings.

Hermes Agent Integration Advanced Features

  • Self-Improving Learning Loop: Automatically creates and archives new skills based on successful task completion.
  • Parallel Subagent Spawning: Capabilities to run multiple isolated agents simultaneously to reduce processing time for complex tasks.
  • Native Cron Scheduling: Built-in support for time-based triggers, allowing Openclaw Skills to run autonomously without manual intervention.
  • Multi-Platform Gateway: Seamlessly bridge your agent to Telegram, Discord, Slack, and WhatsApp with minimal configuration.

SKILL.md


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