Privacy and advertising choices

Git-Stars uses essential storage for site operation. Optional analytics and ad-measurement scripts stay disabled unless you accept them; partners such as Google may then use cookies or similar identifiers where required. Privacy Policy

LogoGit-Stars
Top StarsTrendingAI AgentsDaily PicksViral ReposInsights
LogoGit-Stars

Discover top GitHub projects with real rankings and AI insights

GitHub
Built withLogo of Git-StarsGit-Stars
Rankings
  • Top Stars
  • Trending
  • AI Agents
  • Daily Picks
  • Explore
Resources
  • Insights
  • Editorial Policy
About
  • About
  • Contact
Legal
  • Privacy Policy
  • Terms of Service
© 2026 Git-Stars. All Rights Reserved.
AI Agent Analysis
CO

cloudflare/computer

Give your agent a computer 👾

stars
8.3k
Language
TypeScript
GitHub
Source and compliance noteLast synced: Aug 16, 2026

Git-Stars is independent and not affiliated with GitHub or this project. Analysis may be AI-assisted and based on public repository metadata plus short README-derived summaries. We do not mirror full README files, docs, issues, or social comments.

Original GitHub sourceMethodologyEditorial Policy

Overview

Cloudflare Computer is a virtual filesystem that lives inside a Durable Object, providing a pluggable execution surface for AI agents. It offers multiple backends—container, isolate shell, and isolate JavaScript—to run code in sandboxed environments while maintaining authoritative state in SQLite. The core value proposition is giving agents a persistent, synchronized computer-like workspace with flexible runtime options.

Installation

Install the package with `npm install @cloudflare/computer` and follow the package README for setup steps.

Problem solved

It solves the problem of giving AI agents a persistent, stateful filesystem and execution environment that can be accessed across different runtimes. Unlike traditional approaches that require separate storage and compute, it unifies state and execution in a single Durable Object, enabling seamless synchronization and multiple execution backends without additional infrastructure.

What you can build

Developers can build AI agents that perform file operations, run shell commands, execute JavaScript modules, and generate artifacts like PDFs or images. Real-world use cases include automated document generation, code project scaffolding, and interactive chat agents with a working directory. The ceiling is high: it supports full Linux userland in containers, isolated shell environments, and JavaScript execution, all backed by a durable filesystem, enabling complex agent workflows that require persistent state and diverse execution capabilities.

Community sentiment

Positive

No community feedback yet.

Concerns

No concerns documented yet.

Bottom line

This framework is ideal for developers building AI agents on Cloudflare Workers who need a persistent, synchronized filesystem and flexible execution backends. It is not suitable for production use yet due to its preview status and unstable APIs. The key trade-off is the convenience of a unified state and execution model versus the current lack of production readiness and potential complexity of managing multiple backends.

Analyzed by Git-Stars - 8/6/2026