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Description

Muse Code is a beta terminal coding agent from Meta designed to help developers complete complex software engineering work across large codebases. Powered by Muse Spark 1.2, the agent can plan repository changes, write code, run validation steps, and coordinate persistent subagents for difficult development tasks. Muse Code uses a simple main agent loop supported by async background agents that remain active throughout each session. These background agents can gather information, carry out next steps, and decide when to report back to the main agent, reducing latency and unnecessary user steering. The runtime is built around a local event log where every model call, tool run, approval, and edit is appended. This event log makes Muse Code replay-exact and restart-safe, allowing it to resume from the point of failure after a crash. Muse Code also ships with default skills, including /plan, /grill, and /goal, to support structured planning, plan validation, and objective completion. It can be installed on macOS or Linux and is integrated with Meta’s AI developer ecosystem. By combining terminal-based coding, persistent subagents, replay-safe execution, bundled skills, and Muse Spark 1.2, Muse Code helps developers automate larger and longer software engineering workflows.

Description

Yazi is a high-speed terminal file manager crafted in Rust and leverages asynchronous I/O for all input/output operations. It efficiently distributes CPU tasks across multiple threads to optimize resource usage. The built-in task management system offers robust async scheduling and oversight, enabling real-time progress tracking, task cancellation, and prioritization of tasks. Tailored for terminal enthusiasts, Yazi seamlessly blends rapid performance with a contemporary file management experience, featuring scrollable previews for various file formats, a visual mode for bulk selections and renaming, and input components that resemble Vim. Additionally, it supports multi-tab collaboration and provides quick navigation through utilities like fzf and zoxide. Users have the flexibility to select multiple files, execute copy and cut operations, and rely on the task management system to organize these processes while progress remains visible. The incremental find function displays results instantaneously, indicating both the current match and the overall match count, thereby enhancing user efficiency. In this way, Yazi not only meets the needs of power users but also elevates the typical file management experience.

API Access

Has API Yes 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Git No 
JSON No 
Meta AI Yes 
Muse Glimmer Yes 
Muse Spark Yes 
Muse Spark 1.1 Yes 
Muse Spark 1.2 Yes 
Muse Spark 1.3 Yes 
Rust No 

Integrations

Git Yes 
JSON Yes 
Meta AI No 
Muse Glimmer No 
Muse Spark No 
Muse Spark 1.1 No 
Muse Spark 1.2 No 
Muse Spark 1.3 No 
Rust Yes 

Pricing Details

$1.25 per 1M tokens (input)
Standard pricing: $1.25 per million input tokens and $4.25 per million output tokens

Discounted "contributor" tier costing $0.10 per million input tokens and $0.20 per million output tokens for users who agree to share feedback to improve the AI.
Free Trial No 
Free Version Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Deployment

Web-Based No 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac Yes 
Linux Yes 
Chromebook No 

Deployment

Web-Based No 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac Yes 
Linux Yes 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

Meta

Founded

2004

Country

United States

Website

meta.ai

Vendor Details

Company Name

Yazi

Country

United States

Website

yazi-rs.github.io

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