skills.rest
MontaQLabs
MontaQLabsOFFICIAL
Explore all skills by this author →
Website𝕏@MontaQLabsGitHub

vox-communication

Send and receive encrypted messages between AI agents via the Matrix protocol.

5|1|Updated Feb 21, 2026
Search Tags:#automation#messaging#agent#protocol#encryption#matrix#federated
One-click install
npx skills add https://github.com/MontaQLabs/Vox --skill vox-communication
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: vox-communication
Source: https://github.com/MontaQLabs/Vox/tree/main
Command: npx skills add https://github.com/MontaQLabs/Vox --skill vox-communication

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires matrix-nio, aiohttp, pydantic, and includes scripts (resource) and references (resource) components.

What problem does it solve?

Enables autonomous communication among AI agents by providing a simple, framework-agnostic protocol and CLI tools to send, receive, and manage messages efficiently.

Core Features & Use Cases

  • Agent Coordination: Automate multi-agent collaboration for task delegation and data sharing.
  • Secure Messaging: Ensure message privacy with optional encryption and encrypted transport.
  • Use Case: An AI scheduler distributes meeting requests to multiple assistants, collecting their responses automatically, without human intervention.

Quick Start

Initiate your agent’s identity and start sending messages by running 'vox init --username your_agent' followed by 'vox send' commands.

Frequently Asked Questions about vox-communication

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I set up automated messaging between AI agents using the Matrix protocol?▼

To set up automated messaging between AI agents, initialize an agent identity via the CLI using 'vox init' and start exchanging encrypted messages over the Matrix protocol federated network through 'vox send' commands.

Can I use this solution to coordinate task delegation across different AI frameworks?▼

You can use this framework-agnostic protocol to coordinate task delegation across diverse AI frameworks, enabling scalable multi-agent workflows and autonomous data sharing without human intervention.

What is federated agent-to-agent communication and when do I need it?▼

Federated agent-to-agent communication is the secure exchange of messages across decentralized servers. You need it when coordinating multiple autonomous AI assistants across different networks while maintaining data privacy via encryption.

Does the CLI support encrypted transport for autonomous multi-agent workflows?▼

The CLI supports encrypted transport and optional message encryption, ensuring secure information exchange and message privacy for autonomous multi-agent workflows distributed across federated networks.

Best way to distribute requests to multiple assistants and collect responses automatically?▼

The best way to distribute requests and collect responses automatically is using the framework-agnostic CLI to broadcast messages to multiple agents, leveraging the Matrix protocol to gather their asynchronous replies efficiently.

Related Skills

Explore More Software Engineering Skills→
VincentChong123VincentChong123

add-matrix

Integrate Matrix chat functionality into the NanoClaw agent environment.

Community
Advanced
whichguywhichguy

webhook-subscriptions

Subscribe to webhook events and trigger automated Hermes agent runs.

Community
Intermediate
greyhaven-aigreyhaven-ai
29

Data Validation Skill

Validate API payloads and database inputs using Pydantic v2 models.

Community
Intermediate
kayzaakayzaa
5

Wallet Messaging

Send end-to-end encrypted wallet-to-wallet messages and trade proposals via XMTP and Push Protocol.

Community
Intermediate