Related Products
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About
Emdash is an open-source agentic development environment that enables software developers to run and manage multiple AI coding agents from a centralized desktop application. The platform supports coding assistants such as Claude Code, OpenAI Codex, Cursor, Amp, and OpenCode through their command-line interfaces. Each development task operates in an isolated Git worktree, allowing agents to work on separate branches without interfering with one another. Emdash provides integrated terminals, code editing tools, application previews, and Git functionality for reviewing and managing agent-generated changes. Its automation features allow developers to schedule recurring coding tasks, while integrations with GitHub, Jira, Linear, and other services connect agents to existing development workflows. The software supports local and remote execution environments and is available for macOS, Windows, and Linux.
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About
Parallel Code is a desktop workspace for developers using AI coding agents. It runs multiple command-line agents side by side, assigning each task a Git branch and worktree to isolate changes. A shared board organizes sessions, and diff review lets developers inspect edits, leave inline comments, and send feedback to an agent before merging. Other features include task planning, mind maps, code-change walkthroughs, optional review by a second model, and phone access to running sessions. Supported tools include Claude Code, Codex CLI, OpenCode, GitHub Copilot CLI, Antigravity CLI, and custom terminal-based agents. Developers can use their preferred editor. The app runs locally on macOS and Linux, with an Android companion app and mobile-browser access. It is free and open source under the MIT license; users supply their agent accounts or API keys and pay applicable provider charges.
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Platforms Supported
Windows
Supported
Mac
Supported
Linux
Not Supported
Cloud
Not Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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Platforms Supported
Windows
Not Supported
Mac
Supported
Linux
Supported
Cloud
Not Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
Not Supported
Android
Supported
Chromebook
Not Supported
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Audience
Software developers, AI coding agent users, DevOps engineers, platform engineers, technical leads, and engineering teams seeking to coordinate parallel coding tasks, automate development workflows, and review AI-generated code across local and remote environments
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Audience
Software developers who use AI coding agents and want to coordinate parallel coding tasks, isolate changes in Git worktrees, and review agent-generated code.
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Support
Phone Support
Not Supported
24/7 Live Support
Not Supported
Online
Supported
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Support
Phone Support
Not Supported
24/7 Live Support
Not Supported
Online
Supported
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API
Offers API
Not Supported
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API
Offers API
Not Supported
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Screenshots and Videos |
Screenshots and Videos |
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Pricing
Free
Free Version
Supported
Free Trial
Not Supported
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Pricing
$0
Free and MIT-licensed, with no Parallel Code account or platform subscription. Users provide their own agent accounts or API keys and pay any applicable charges from those providers.
Free Version
Supported
Free Trial
Not Supported
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Reviews/
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Reviews/
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Training
Documentation
Supported
Webinars
Not Supported
Live Online
Not Supported
In Person
Not Supported
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Training
Documentation
Supported
Webinars
Not Supported
Live Online
Not Supported
In Person
Not Supported
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Company InformationEmdash
United States
emdash.com
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Company InformationParallel Code
parallelcode.app/
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Alternatives |
Alternatives |
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Categories |
Categories |
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Integrations
Codex CLI
Supported
OpenCode
Supported
Amp
Supported
Antigravity CLI
Not Supported
Charm
Supported
ChatGPT
Supported
Claude
Supported
Claude Duet
Supported
Claude for Legal
Supported
Cursor
Supported
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Integrations
Codex CLI
Supported
OpenCode
Supported
Amp
Not Supported
Antigravity CLI
Supported
Charm
Not Supported
ChatGPT
Not Supported
Claude
Not Supported
Claude Duet
Not Supported
Claude for Legal
Not Supported
Cursor
Not Supported
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