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Description
We empower individuals to develop or modify software solutions for their personal use through AI and a fully-managed runtime environment. GitHub Spark serves as an AI-driven platform for crafting and disseminating micro apps, known as "sparks," which can be customized to fit your specific requirements and are easily accessible on both desktop and mobile devices. This process eliminates the need for any coding or deployment. The functionality is achieved through a seamless integration of three core components: a natural language-based editor that simplifies the expression of your concepts and allows for gradual refinement; a managed runtime that supports your sparks by offering data storage, theming, and access to LLMs; and a PWA-compatible dashboard for managing and launching your sparks from any location. Moreover, GitHub Spark facilitates sharing your creations with others while allowing you to set permissions for read-only or read-write access. Users who receive your sparks can choose to mark them as favorites, utilize them directly, or remix them to better fit their individual needs. This collaborative aspect enhances the adaptability and usage of the software, fostering a community of innovation.
Description
Muse Spark 1.1 is Meta’s upgraded multimodal reasoning model designed to support advanced agentic workflows, coding tasks, computer use, and complex tool orchestration. Developed by Meta Superintelligence Labs, it builds on Muse Spark with major gains in planning, tool use, long-context reasoning, multimodal perception, and real-world task execution. The model can work across external apps and services, native tools, MCP servers, custom skills, browsers, scripts, images, video, PDFs, and audio inputs. Muse Spark 1.1 can act as a main agent by gathering context, creating a plan, and delegating work to parallel subagents, or operate as a subagent that follows instructions and escalates when needed. Its 1 million token context window allows it to retain earlier actions, retrieve information from long workflows, and compact context while preserving critical details. The model is also trained for computer-use tasks, deciding when to automate with scripts and when to interact directly with an interface. In coding workflows, Muse Spark 1.1 can diagnose bugs, implement features, migrate large codebases, generate web applications, take screenshots, identify UI issues, and validate fixes. Its multimodal strengths include visual-to-code generation, detailed image and video captioning, grounded perception, and workflows where seeing, reasoning, and acting happen together. Available through the Meta Model API public preview and in Thinking mode inside Meta AI, Muse Spark 1.1 gives developers and users a more capable foundation for building agents, automations, coding assistants, and multimodal productivity tools.
API Access
Has API
API Access
Has API
Integrations
.NET
Bash
CSS
Claude Agent SDK
Codex CLI
Dart
Facebook
Facebook Messenger
Go
Gray Swan
Integrations
.NET
Bash
CSS
Claude Agent SDK
Codex CLI
Dart
Facebook
Facebook Messenger
Go
Gray Swan
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
$1.25 per 1M tokens (input)
$1.25 per million tokens in input, and $4.25 per million tokens of output
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
GitHub Spark
Country
United States
Website
github.com
Vendor Details
Company Name
Meta
Founded
2004
Country
United States
Website
meta.ai
