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Description

Mindra serves as a proactive orchestrator for flexible AI workflows, centered on teams of agents that you can genuinely assign tasks to. When you outline your requirements, Mindra assembles a dedicated team of agents that operate around the clock, communicate effectively, and take actionable steps within your entire system. Each team comprises specialists, each focused on a particular channel, tool, or area of expertise, collaboratively sharing information, delegating tasks, and completing projects through structured workflows and real-time coordination. Every decision and attempt is meticulously documented, ensuring that if a tool encounters an issue or an API hits its limit, the agent can navigate the situation while maintaining a complete record that is easy to audit, replay, and troubleshoot. Beyond simple communication, Mindra agents are capable of pausing campaigns, optimizing spending, reallocating budgets, and posting updates to platforms like Slack and email, all while logging each action with the option to reverse changes. Teams can articulate their objectives, and Mindra designs a tailored orchestrator that outlines the necessary sub-agents and tools it will employ, ensuring a personalized and effective approach to workflow management. This dynamic system empowers organizations to maintain agility in their operations while fostering seamless collaboration among specialized agents.

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 Yes 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

.NET No 
Bash No 
C++ No 
CSS No 
Claude Code No 
HTML No 
JavaScript No 
LinkedIn Ads Yes 
LlamaIndex No 
Lua No 
Muse Image No 
Muse Spark No 
Muse Video No 
OpenAI Agents SDK No 
OpenAI Codex No 
OpenClaw No 
Rust No 
Scala No 
Vercel AI SDK No 
XML No 

Integrations

.NET Yes 
Bash Yes 
C++ Yes 
CSS Yes 
Claude Code Yes 
HTML Yes 
JavaScript Yes 
LinkedIn Ads No 
LlamaIndex Yes 
Lua Yes 
Muse Image Yes 
Muse Spark Yes 
Muse Video Yes 
OpenAI Agents SDK Yes 
OpenAI Codex Yes 
OpenClaw Yes 
Rust Yes 
Scala Yes 
Vercel AI SDK Yes 
XML Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

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 Yes 
Free Version No 

Deployment

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

Deployment

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

Customer Support

Business Hours Yes 
Live Rep (24/7) Yes 
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) Yes 
In Person No 

Types of Training

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

Vendor Details

Company Name

Mindra

Country

United States

Website

mindra.co

Vendor Details

Company Name

Meta

Founded

2004

Country

United States

Website

meta.ai

Product Features

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