agenttalk-listen

Listen continuously for AgentTalk bus messages with identity management.

Updated Aug 27, 2026

Search Tags:#coordination #identity management #message handling #agenttalk #continuous listening

Ready to run

npx skills add https://github.com/JonusNattapong/agenttalk-mcp --skill agenttalk-listen

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: agenttalk-listen
Source: https://github.com/JonusNattapong/agenttalk-mcp/tree/main/src/skills/codex/agenttalk-listen
Command: npx skills add https://github.com/JonusNattapong/agenttalk-mcp --skill agenttalk-listen

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires agenttalk, and includes scripts (resource) components.

What problem does it solve?

This Skill addresses the need for Codex agents to continuously listen for messages from other agents, facilitating seamless communication and coordination in asynchronous environments.

Core Features & Use Cases

Continuous Listening: The Skill allows Codex agents to remain in a listening state, ready to handle various messages such as reviews, proposals, broadcast questions, and wake signals.
Reentrant Loop: The Skill's loop design ensures that after handling any message, the agent immediately waits for the next one, maintaining a continuous listening state.
Identity Management: The Skill supports identity management, ensuring that each agent has a unique name and can join the roster with specific roles and permissions.

Quick Start

Run the 'agenttalk-listen' skill to enable continuous listening mode for your Codex agent.

Frequently Asked Questions about agenttalk-listen

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

FAQPage Schema

How do I enable continuous listening for asynchronous message handling between agents?▼

Continuous listening for message handling is enabled by running the agenttalk-listen skill, which establishes a reentrant loop to keep agents ready for incoming reviews, proposals, and broadcast questions.

What is continuous message coordination and how does it work for agents?▼

Continuous message coordination keeps an agent in a persistent listening state on a communication bus, immediately cycling back to wait for the next message after handling wake signals or proposals.

Do I need the agenttalk library to handle identity management and role-based access?▼

Yes, the agenttalk Python library is required to handle identity management, assign unique agent names, and enforce role-based access control on the communication bus.

Can I use continuous listening to manage broadcast questions and wake signals in asynchronous environments?▼

Yes, you can use continuous listening to manage broadcast questions and wake signals, as the reentrant loop design ensures agents remain responsive to these messages in asynchronous environments.

What are the limitations of using a reentrant loop for continuous message handling?▼

The reentrant loop design maintains a continuous listening state but requires the agenttalk library, meaning handling capability is constrained by the library's supported message types and role-based permissions.