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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
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.
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