imece

Coordinate multiple AI agents on a shared codebase with synchronized state, messages, and tasks.

31|1|Updated Mar 3, 2026
One-click install
npx skills add https://github.com/ersinkoc/imece --skill imece
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: imece
Source: https://github.com/ersinkoc/imece/tree/main/skill
Command: npx skills add https://github.com/ersinkoc/imece --skill imece

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Automates coordination among multiple AI agents working on a shared codebase, enabling synchronized messages, tasks, and state.

Core Features & Use Cases

  • Daemon-based coordination that keeps agents online and responsive.
  • Shared inbox and task board for cross-agent collaboration.
  • Locking and an event timeline to prevent conflicts and track activity.
  • Example: when a user mentions imece, agents can coordinate to divide work and stay synchronized.

Quick Start

Start the imece daemon and join as an agent to begin coordinating with teammates.

Frequently Asked Questions about imece

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

FAQPage Schema
How do I coordinate multiple AI agents working on the same codebase?

You can coordinate multiple AI agents on a shared codebase by using a daemon-based system that provides a shared inbox and task board for synchronized messaging and task distribution.

How does shared state and task coordination work for AI agents?

Shared state and task coordination work through a daemon that keeps agents online, utilizing an event timeline to track activity and file locking to prevent conflicts across tools and runtimes.

What's the best way to prevent conflicts when AI agents edit shared files?

To prevent conflicts when AI agents edit shared files, use a coordination layer that implements file locking and an event timeline to track activity and manage shared state across runtimes.

Do I need a daemon to keep AI agents online and responsive for collaboration?

A daemon is required to keep AI agents online and responsive, providing the backend coordination needed to share messages, manage tasks, and maintain synchronized state across the codebase.

When do I need a shared inbox and task board for cross-agent collaboration?

You need a shared inbox and task board for cross-agent collaboration when multiple agents must communicate, divide work, and manage shared files across different tools and runtimes on the same project.

What are the limitations of using a daemon-based approach for AI agent coordination?

Limitations of a daemon-based approach for AI agent coordination include the need to maintain a continuously running process and potential complexity in managing locking and event timelines across diverse runtimes.