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What is TinyFish?

TinyFish represents a groundbreaking AI platform designed for enterprises, specializing in the creation and management of "enterprise web agents" that can perform complex workflows across the internet on a large scale. Instead of relying solely on APIs or manual processes, these agents mimic human behavior by navigating various websites, gathering essential data, and executing multi-step tasks across multiple platforms at once. This innovative method effectively tackles the rising challenges of today's online ecosystem, where critical information is often dispersed, behind secure logins, or constantly changing, rendering conventional automation techniques less effective. The advanced infrastructure supporting TinyFish's agents enables them to learn, adapt, and scale effectively, ensuring they remain accurate and dependable despite the dynamic nature of web environments. The platform is designed to focus on achieving specific goals rather than just completing disconnected tasks, empowering agents to manage extensive processes such as pricing intelligence, inventory oversight, or market analysis from start to finish. Consequently, TinyFish not only simplifies operational workflows but also significantly boosts the ability of businesses to derive valuable insights from various data sources, ultimately enhancing decision-making capabilities. Furthermore, the adaptability of these agents allows organizations to stay competitive and responsive to ever-changing market conditions.

What is Agent Computer?

AgentComputer represents a cutting-edge cloud infrastructure solution specifically designed for the operation of AI agents within secure and fully functional virtual environments. The platform provides "cloud computers" that serve as lightweight Ubuntu-based sandboxes, capable of being established in under a second, thereby allowing developers to quickly create, access, and manage their environments through a command-line interface. With persistent storage included, any applications, files, or settings installed remain intact even after system reboots, supporting ongoing and smooth workflows. The architecture is based on an agent-first approach, enabling AI agents to execute tasks directly within these spaces using SSH, which minimizes the gap between command issuance and execution. Additionally, the platform includes a built-in AI harness that supports a variety of agents, such as Claude, Codex, and other coding aides, facilitating efficient collaborative multi-agent activities in the same space. This integration not only boosts productivity but also simplifies the development workflow for AI-focused initiatives, making it an essential tool for modern developers. Ultimately, AgentComputer stands out by offering a versatile and dynamic environment that adapts to the needs of various projects and users alike.

Media

Media

Integrations Supported

Claude Code
Cursor
Dify
HTML
InfuseOS
JSON
Model Context Protocol (MCP)
OpenAI Codex
OpenClaw
Python
Vercel
n8n

Integrations Supported

Claude Code
Cursor
Dify
HTML
InfuseOS
JSON
Model Context Protocol (MCP)
OpenAI Codex
OpenClaw
Python
Vercel
n8n

API Availability

Has API

API Availability

Has API

Pricing Information

$1.50 per month
Free Trial Offered?
Free Version

Pricing Information

$20 per month
Free Trial Offered?
Free Version

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

TinyFish

Date Founded

2024

Company Location

United States

Company Website

www.tinyfish.ai/

Company Facts

Organization Name

Agent Computer

Company Location

United States

Company Website

www.agentcomputer.ai/

Categories and Features

Categories and Features

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