Repowire FAQs

Question 1

How can I monitor and control my AI agent mesh with Repowire?

Accepted Answer

You can monitor and control your agent mesh using a web dashboard for a centralized overview of peer status, chat history, and message composition. Additionally, Repowire offers a Telegram bot for mobile management, allowing you to dispatch work and check peer status from anywhere.

Question 2

What are some practical use cases for Repowire?

Accepted Answer

Repowire is ideal for multi-repo coordination, cross-agent code review, establishing a dedicated orchestrator for complex projects, worktree isolation for parallel development, mobile mesh management, and enabling 'infrastructure-as-peer' or overnight autonomous task completion.

Question 3

What is Repowire and what problem does it solve?

Accepted Answer

Repowire connects AI coding agents (like Claude Code, Codex, Gemini CLI, and OpenCode) into a live, peer-to-peer mesh network. It solves the 'context breakout problem' by enabling these agents to communicate and coordinate in real-time across different projects, which is crucial for complex development tasks.

Question 4

How do AI agents communicate within the Repowire mesh?

Accepted Answer

Agents communicate via 'ask_peer' (request/response), 'notify_peer' (fire-and-forget), and 'broadcast' message types over a WebSocket connection to a central daemon. This facilitates direct, real-time queries and notifications between peers by name.

Question 5

Which AI coding agents are supported by Repowire?

Accepted Answer

Repowire supports popular agents including Claude Code, OpenAI Codex, Google Gemini CLI, and OpenCode. It integrates seamlessly using hooks and tmux injection for most, with an experimental channel transport available for Claude Code v2.1.80+.

Repowire

Repowire

Key Features

Use Cases

Key Features

Use Cases