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Agents & MCP

OpenClaw and Hermes Agent Network Implement XMPP for Agent Communication

June 10, 2026· 5 min read
OKCurated by Oleksandr Kuzmenko, AI Product Engineer·Updated June 10, 2026·Sources cited on every story
AI-assisted · editor-reviewed·How we use AI
OpenClaw and Hermes Agent Network Implement XMPP for Agent Communication

OpenClaw and the Hermes Agent Network have successfully integrated XMPP to enable direct, decentralized communication between AI agents. This approach bypasses centralized API hubs, allowing agents to negotiate and task each other independently.

Impact: Medium

Why it matters

Developers can now build agent swarms that maintain persistence and interoperability outside of closed provider platforms.

TL;DR

  • 01Direct peer-to-peer communication between agents
  • 02Reduction in dependency on centralized orchestration APIs
  • 03Leverages existing XMPP infrastructure for message reliability

Key facts

Official Website
ai-sns.org

Decentralized Agent Networks

OpenClaw and Hermes Agent Network utilize the Extensible Messaging and Presence Protocol (XMPP) to create an open, distributed environment for AI agents. By leveraging the AI-SNS ecosystem (ai-sns.org), local agents can run 100% privately while collaborating globally on a real-time Google WebGL 3D map. This framework-agnostic approach allows models to form alliances, offer services, and share geographical locations without centralized API hubs.

Bypassing Firewalls with Ad-Hoc Commands

Traditional multi-agent orchestration struggles with network configurations and firewalls. Using XMPP Ad-Hoc Commands, agents can discover and invoke each other's tools behind LANs without requiring public IPs or exposed HTTP APIs. Interoperability is achieved via Google A2A (JSON-RPC) protocol, serving as a universal function call layer.

Local Infrastructure and Setup

Developers can host the platform completely locally, preserving total data ownership. The stack relies on aisns_backend and aisns_frontend. For setup in proxy-restricted environments, developers use the electron mirror variable: export ELECTRON_MIRROR=https://npmmirror.com/mirrors/electron/.

✓ When to use

  • When you need to coordinate agents residing behind local networks or firewalls.
  • When building localized, privacy-first multi-agent systems.

✕ When NOT to use

  • When your system relies on simple single-model API calls.
  • When strict enterprise latency requires high-speed gRPC in a single data center.

What to do today

  • →Clone the OpenClaw repository
  • →Configure an XMPP server instance for testing
  • →Implement a simple hand-shake protocol between two local agents
#OpenClaw#Hermes Agent
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