Unfetch

Unfetch

Unfetch is an online integrated development environment (IDE) and deployment platform designed to create, code, and deploy AI agents. These agents are groups of actions executed as automated workflows

Unfetch screenshot

What is Unfetch?

Unfetch is a browser-based IDE and deployment platform for building and running AI agents. An AI agent in Unfetch is a set of automated actions organised into loops, which execute tasks without manual intervention. You write the logic in JavaScript, then deploy it either on Unfetch's servers or to your own cloud infrastructure. The platform integrates with Git for version control, so you can manage your agent code the same way you would a traditional software project. Unfetch is useful if you want to automate workflows, connect multiple services together, or build custom AI-powered automation without managing your own infrastructure.

Key Features

Browser-based IDE

Write and test agent code directly in your web browser without installing software

Automated loops

Define sequences of actions that execute repeatedly or on a schedule without user input

JavaScript support

Code your agent logic in JavaScript, a widely-used language with good library support

Git integration

Connect your repositories for version control and team collaboration

Flexible deployment

Run agents on Unfetch's managed servers or deploy to AWS, Google Cloud, Azure, or other providers

Multiple pricing tiers

Choose from free, starter, pro, growth, or custom enterprise plans depending on your needs

Pros & Cons

Advantages

  • No infrastructure setup required; start building agents immediately in the browser
  • Deploy to your own cloud provider if you need more control or have specific compliance requirements
  • Git-based workflow makes it easy to manage versions and collaborate with team members
  • Freemium model lets you test the platform before committing to a paid plan

Limitations

  • Limited to JavaScript for coding actions, which may not suit all use cases or programming preferences
  • Documentation and community resources may be smaller compared to more established automation platforms
  • Pricing increases significantly at higher tiers, especially for advanced features and custom models

Use Cases

Automate repetitive business tasks such as data entry, report generation, or email notifications

Connect multiple third-party services and APIs to synchronise data without manual work

Build custom chatbots or AI assistants that perform specific actions based on user input

Schedule maintenance or monitoring tasks that run on a set interval

Prototype AI workflows quickly before building them into a larger application