Hermes is a high-performance communication protocol for Openclaw Skills that enables efficient, low-latency coordination between hundreds of AI agents using a synapse-inspired subscription model.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install hermes-multiagent-skill
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install hermes-multiagent-skill 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 Protocol: High-Concurrency Multi-Agent Scheduling?
Hermes Protocol addresses the fundamental challenge of communication bottlenecks in large-scale AI agent deployments. By mimicking human neural synapses, it ensures that messages are only delivered to agents with established subscriptions rather than using inefficient global broadcasting. This sparse communication architecture is essential for Openclaw Skills that require high concurrency, as it maintains sub-millisecond delivery speeds even when managing over 100 agents simultaneously.
The protocol is built with a zero-dependency philosophy in pure Python, making it a lightweight yet robust backbone for any multi-agent system. It focuses purely on message scheduling and dispatching, allowing higher-level business logic to handle data persistence and memory while Hermes ensures that every agent receives exactly the data it needs without unnecessary noise.
Hermes Protocol: High-Concurrency Multi-Agent Scheduling Use Cases
- Coordinating massive swarms of up to 100 AI agents with minimal latency.
- Reducing infrastructure costs by cutting communication volume by 50% to 90%.
- Real-time task distribution in complex multi-step workflows like code reviews and web research.
- Dynamic agent lifecycle management through automated subscription and cleanup during spawning.
- High-pressure environments requiring thread-safe, concurrent message handling.
How Hermes Protocol: High-Concurrency Multi-Agent Scheduling Works
- The Hermes Router is initialized to act as the central nervous system for message dispatching.
- Individual AI agents use their unique IDs to subscribe to specific topics or task types they are designed to handle.
- When a task is generated, a message is published to a specific topic containing a payload and session context.
- The router performs precise alignment, identifying only the relevant subscribers and delivering the message in under 0.1ms.
- If integrated with session management, the system automatically registers new agents upon spawning and clears their subscriptions upon exit to prevent resource leaks.
Hermes Protocol: High-Concurrency Multi-Agent Scheduling Setup
To integrate this protocol into your Openclaw Skills environment, import the router or session integration module:
from skills.hermes_multiagent_skill import hermes, HermesMessage
# Basic manual subscription
def handler(msg: HermesMessage):
print(f"Received: {msg.payload}")
hermes.subscribe(agent_id="agent-unique-id", topic="task:compute", handler=handler)
For systems using dynamic spawning:
from skills.hermes_multiagent_skill import hermes_sessions
hermes_sessions.on_agent_spawn(
session_key=session_key,
agent_id="worker-01",
hermes_topics=["data-processing"]
)
Hermes Protocol: High-Concurrency Multi-Agent Scheduling Data Schema & Taxonomy
Hermes organizes communication using a structured message schema to ensure data integrity across Openclaw Skills:
| Component | Type | Description |
|---|---|---|
| Topic | String | The specific channel or task category (e.g., task:review) |
| Payload | Dict/Any | The actual data, instructions, or results being transmitted |
| Session ID | String | Links the message to a specific user session or workflow |
| Agent ID | String | The identifier of the sender or receiver |
| Trace ID | String | Optional UUID for tracking message flow across multiple agents |
Hermes Protocol: High-Concurrency Multi-Agent Scheduling Advanced Features
- Synapse-inspired sparse subscription to eliminate the overhead of traditional broadcast methods.
- Thread-safe architecture using RLock to support 50+ concurrent agents without race conditions.
- Built-in object pooling with a 1000-message buffer limit to prevent memory exhaustion in high-traffic scenarios.
- Automatic TTL (Time-To-Live) management that cleans up pending tasks after one hour.
- Seamless integration with sessions_spawn for zero-manual-config agent discovery and cleanup.
- Detailed performance statistics via the get_stats() method for real-time monitoring of communication efficiency.
SKILL.md
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