Emdash

Open-source desktop environment for running multiple coding agents in parallel.

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Score

Évaluation Utilisateur

3.0

Support Gratuit/Essai

Non Pris en Charge

Prix de Démarrage

Dernière Mise à Jour

août 14, 2026

Aperçu

Qu'est-ce que Emdash ?

Emdash is an open-source desktop app and agentic development environment designed for running multiple coding agents in parallel. It serves as a centralized dashboard where developers can monitor AI agent sessions, review code diffs, and seamlessly turn software issues into pull requests. By leveraging isolated Git worktrees for each task, Emdash allows engineers to orchestrate multiple agents simultaneously without taxing their local machine, offering a highly scalable and async-friendly native coding environment.

À quoi sert Emdash ?

Assistant de code IA Générateur de code IA Outils de développement d'IA Agent IA

Groupes d'Utilisateurs

Developers Software Engineers Devops Teams Ai Developers Open Source Contributors Engineering Teams Product Teams Quality Assurance Teams Tech Leads Ctos It Professionals Remote Developers

Fonctionnalités Principales

Parallel agent orchestration in isolated Git worktrees
Auto-detection of 25+ coding agent CLIs (Claude Code, Cursor, Codex, Gemini, etc.)
Model Context Protocol (MCP) server integration
Built-in file editor and diff viewer
Issue integration with Linear, Jira, GitHub, GitLab, and Asana
Ephemeral infrastructure for cloud workspaces (Bring Your Own Infra via SSH)

Comment utiliser Emdash ?

To use Emdash, download the desktop application or set up the cloud workspace. Connect your task management tools like Linear, Jira, or GitHub to feed issues directly into the app. The environment automatically detects your installed agent CLIs (such as Claude Code, Cursor, or Codex) and runs them within isolated Git worktrees. You can then review the generated diffs, edit files using the built-in editor, and commit or push pull requests without leaving the cockpit.

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Avantages & Inconvénients

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Cas d'Utilisation

Running multiple AI coding agents simultaneously across different tasks or branches
Automating the conversion of backlog issues or bug reports directly into pull requests
Reviewing and editing AI-generated code modifications in a centralized, secure UI

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