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What is Skygen?

Skygen is an innovative AI platform designed to manage complex, multi-stage, and extended projects comprehensively. By integrating advanced computer vision with powerful backend API functionalities, it outperforms traditional agents in both efficiency and resource management. Unlike many automation systems that operate without user insight, Skygen allows users to track every step of the process and interact with the agent in real-time as tasks unfold. With a remarkable capability to connect with over 500 applications, Skygen stands out in executing high-level tasks that usually take days or even weeks, such as applying to numerous job openings or pinpointing a vast number of potential clients. Furthermore, its architecture prioritizes openness and collaboration with users, ensuring a smoother and more interactive working experience. This unique approach not only enhances productivity but also empowers users to take an active role in the task execution process.

What is Mastra?

Mastra is an open-source TypeScript framework designed to help software developers build production-ready AI agents, intelligent applications, and autonomous workflow systems. The framework provides a modular development environment for defining AI agents with configurable instructions, language models, tools, memory, and runtime behavior. Its agent execution capabilities allow applications to process user requests, reason about complex problems, select appropriate tools, and perform actions across connected systems. Mastra's workflow engine enables developers to organize operations into structured steps with branching logic, retries, error handling, and persistent execution state. Human-in-the-loop functionality allows workflows to pause for user input or approval and resume execution without losing their previous progress. Its memory system supports conversation history, structured working memory, semantic retrieval, and observational memory that summarizes previous interactions to maintain useful context. The platform also provides an agent harness for coordinating long-running agents with multiple operating modes, shared state, persistent threads, and task management capabilities. Model integration features enable developers to work with different AI providers through a unified router, while Model Context Protocol support connects agents to external tools, resources, and compatible applications. Built-in observability includes distributed tracing, execution logs, latency measurements, token usage monitoring, cost tracking, and detailed visibility into model calls and tool interactions. Its evaluation framework supports automated scoring, test datasets, experiments, feedback collection, and regression testing to help development teams measure and improve agent performance.

Media

Media

Integrations Supported

Ahrefs
Canva
Gmail
Google
Google Sheets
Notion
Slack
Telegram

Integrations Supported

Claude
Claude Duet
Dock
GPT-4
GPT-4o
Gemini Enterprise
Groq
Llama
Mistral AI
OpenAI
OpenUI
Prefactor

API Availability

API Availability

Pricing Information

$12/month/user
Standard
For everyday tasks and exploring AI automation
$12/month

Pro
Scale workflows with parallel execution.
$30/month

Max
For Gods of Agentic AI
$175/month
Free Version

Pricing Information

Free
Open source
Free Version

Supported Platforms

SaaS
Windows
Mac

Supported Platforms

SaaS
Windows
Mac
On-Prem
Linux

Customer Service / Support

Web-Based Support

Customer Service / Support

Not specified

Training Options

Not specified

Training Options

Documentation Hub

Company Facts

Organization Name

Skygen

Date Founded

2025

Company Location

United Arab Emirates

Company Website

skygen.ai

Company Facts

Organization Name

Mastra AI

Date Founded

2024

Company Location

United States

Company Website

mastra.ai/

Categories and Features

AI Agents

Not specified

AI Productivity

Not specified

Categories and Features

Agentic AI

Not specified

AI Agent Builders

Not specified

AI Agent Frameworks

Not specified

AI Agents

Not specified

AI Orchestration

Not specified

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