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bababoi-bibilabu/agent-mq

by Various

Message queue for AI coding assistants. Let your AI agents talk to each other.

B

MCP

bababoi-bibilabu/agent-mq

Added 1 June 2026

#agent-communication #ai-agents #claude-code #codex #cursor #mcp #message-queue #multi-agent

Overview

Agent-mq is a Python message queue for AI coding assistants. It allows AI agents to send messages to each other and coordinate tasks. The project is open source with very early stage adoption (1 GitHub star).

Best for

Best for
Developers prototyping multi-agent coding assistants who need a simple message broker

Use cases

  • Connecting multiple AI agents in a collaborative coding workflow
  • Decoupling agent processes for asynchronous communication
  • Building distributed agent systems that need to pass data between agents

Notes

Agent-mq is a Python message queue for AI coding assistants. It allows AI agents to send messages to each other and coordinate tasks. The project is open source with very early stage adoption (1 GitHub star).

1 stars on GitHub. Last updated 2026-03-17. Licensed MIT.

Use cases

  • Connecting multiple AI agents in a collaborative coding workflow
  • Decoupling agent processes for asynchronous communication
  • Building distributed agent systems that need to pass data between agents

Pros

  • Simple Python implementation that is easy to integrate into existing agent setups
  • Lightweight and focused specifically on AI assistant use cases
  • Open source, allowing full customization and self-hosting

Cons

  • Very low community adoption (1 star), which may indicate limited testing and support
  • Python-only, requiring wrapping or additional tooling for other languages
  • No evidence of production readiness or active maintenance

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.

Pros

  • Simple Python implementation that is easy to integrate into existing agent setups
  • Lightweight and focused specifically on AI assistant use cases
  • Open source, allowing full customization and self-hosting

Cons

  • Very low community adoption (1 star), which may indicate limited testing and support
  • Python-only, requiring wrapping or additional tooling for other languages
  • No evidence of production readiness or active maintenance