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Average Ratings 0 Ratings

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ease
features
design
support

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Write a Review

Description

Emdash serves as an orchestration layer that allows you to execute numerous coding agents simultaneously, each within its own distinct Git worktree, enabling you to address various subtasks or experiments concurrently without any interference. It is designed to be provider-agnostic, allowing you to select from a range of AI models and command-line interfaces, such as Claude Code and Codex, tailored to your specific workflow requirements. With Emdash, you can directly assign issues or tickets from platforms like Linear, GitHub, or Jira to a selected agent, enabling you to observe multiple agents working in parallel in real time. The user interface provides live updates on agent status and activities, and as soon as agents produce code, you can easily review differences, add comments, and initiate pull requests, all within the Emdash environment. Each agent operates within its own worktree, ensuring changes remain isolated and comparable, which facilitates safe testing of various implementations or strategies side by side. This unique setup not only enhances productivity but also encourages experimentation without the risk of code conflicts.

Description

fx is a compact, open-source coding agent and command-line interface (CLI) developed in Zig, specifically optimized for research applications, performance, and seamless integration into larger systems. Its architecture emphasizes minimalism throughout the system prompt, available tools, feature set, memory usage, and maintains a small binary size of just 6 MB, aiming for an interface experience that resembles a Unix shell rather than a cumbersome terminal IDE. With an impressive cold start time in microseconds, fx avoids unnecessary tasks or input/output operations before receiving commands, making it ideal for programmatic applications, environments with limited resources, and agent sandboxes. Developers can easily initiate it within a project to perform tasks such as reading files, searching through code, executing commands, implementing changes, running tests, and streaming tool activations in real time. The underlying framework is both model- and provider-independent, enabling compatibility with local models, API gateways, direct provider connections, and cloud-based inference options. By design, it maximizes context efficiency, utilizing a succinct system prompt and streamlined toolset to minimize token overhead and enhance the speed of response to the first token generated. In addition, this unique focus on lightweight operation and quick interaction allows developers to maintain productivity without the typical overhead associated with more complex environments.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Amp
Charm
ChatGPT
Claude
Codex CLI
Cursor
Gemini
Git
GitHub
GitHub Copilot
Jira
Linear
Microsoft Azure
OpenAI
OpenCode
Qwen

Integrations

Amp
Charm
ChatGPT
Claude
Codex CLI
Cursor
Gemini
Git
GitHub
GitHub Copilot
Jira
Linear
Microsoft Azure
OpenAI
OpenCode
Qwen

Pricing Details

Free
Free Trial
Free Version

Pricing Details

Free
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Emdash

Country

United States

Website

www.emdash.sh/

Vendor Details

Company Name

Vercel

Founded

2015

Country

United States

Website

fx.sh/

Product Features

Product Features

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