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What is Muse Code?

Muse Code is Meta’s terminal-based AI coding agent built to take on complex software engineering tasks across large repositories. The agent is powered by Muse Spark 1.2 and is designed to plan code changes, write implementation code, validate results, and support end-to-end developer workflows. Muse Code can coordinate multiple persistent subagents for each task, helping solve difficult problems faster and with less manual intervention. Its architecture uses a simple agent loop enhanced by async background agents that remain active for the full session instead of being spawned only for individual steps. These background agents reduce repeated information gathering, carry out next actions, and communicate back to the main agent when useful. Muse Code’s runtime uses a local event log where model calls, tool runs, approvals, and edits are continuously appended. This event log serves as a single source of truth, making the runtime replay-exact and restart-safe if a crash or interruption occurs. The design allows Muse Code to handle long-running development work without losing progress or context. Muse Code includes bundled skills such as /plan for approval-gated task planning, /grill for stress-testing plans, and /goal for working toward successful completion of a defined objective. Example workflows include interpreting a video input, understanding the requested output, and producing a rich software experience such as a vacation home marketing and booking page. By combining terminal execution, autonomous planning, persistent background agents, replay-safe runtime design, bundled skills, and Muse Spark 1.2 model support, Muse Code helps developers complete ambitious coding tasks with greater reliability.

What is InstaLILY?

The InstaLILY Platform acts as the crucial framework for all solutions provided by Lily, rooted in the belief that while work processes can change, the core structure remains stable. By developing software that mirrors the actual operations of a business, Lily employs a cohesive platform to oversee contracts, connectors, access, testing, deployment, identity, auditing, observability, and runtime capabilities. Instead of creating each solution from the ground up, Lily capitalizes on the existing workflows, systems, data, decisions, approvals, and insights that are integral to the business, designing agents and automations that cater to the unique requirements of the tasks at hand. This includes managing various responsibilities such as quotes, schedules, approvals, follow-ups, routing, service tickets, inventory verifications, contract stipulations, and customer communications, as well as tackling other intricate workflows that conventional tools struggle to address. The platform guarantees uniformity across all solutions by upholding standards for typed and versioned contracts, defined permissions, explicit schemas, executable examples, informative error messages, observable behaviors, comprehensive testing, conformity checks, and secure upgrade pathways. Thus, Lily not only boosts operational effectiveness but also fosters the effortless incorporation of new functionalities as business demands evolve. In this way, the platform becomes a vital asset for businesses striving to remain agile and responsive in a constantly shifting landscape.

Media

Media

Integrations Supported

Meta AI
Muse Glimmer
Muse Spark
Muse Spark 1.1
Muse Spark 1.2

Integrations Supported

Meta AI
Muse Glimmer
Muse Spark
Muse Spark 1.1
Muse Spark 1.2

API Availability

Has API

API Availability

Has API

Pricing Information

$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 Version
Free Trial Offered?

Pricing Information

Pricing not provided
Free Version
Free Trial Offered?

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Meta

Date Founded

2004

Company Location

United States

Company Website

meta.ai

Company Facts

Organization Name

InstaLILY

Date Founded

2023

Company Location

United States

Company Website

www.instalily.ai/platform

Categories and Features

Categories and Features

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