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Give your agent a computer 👾
This repository page has enough original analysis, source evidence, and comparison context to be treated as an indexable Git-Stars review.
100
review score
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.
Deployment reality
The available setup signal starts with: npm install @cloudflare/computer. Treat this as a starting point, then ask Codex or Claude to inspect the README, environment variables, runtime version, and deployment target before production use.
Commercial use
The recorded license is MIT. This is a useful commercial-use signal, but teams should still verify license text, dependencies, model/API terms, and trademark constraints.
Capability ceiling
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.
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.
cloudflare/computer is tracked as a TypeScript project in the AI Agent, Infrastructure area. This evaluation combines public GitHub metadata, category signals, short source summaries, and Git-Stars editorial rules rather than copying project documentation.
Momentum check: the repository has 8.3k total stars, with +0 today, +2.0k this week, and +0 this month. These growth windows help distinguish durable adoption from short-lived visibility spikes.
Maintenance check: current activity is Moderate; the latest push was 61 days ago, and the open issue queue is 14, about 0.17% of total stars. Treat this as an adoption signal, not a substitute for engineering due diligence.
Adoption check: 450 forks and 8.3k watchers suggest how often the project is reused or followed. License signal: MIT. Always verify license compatibility before commercial or internal use.
Practical fit: this project is most relevant when you need TypeScript teams evaluating ecosystem-native tooling. Be cautious when you need a legal review, security audit, or production SLA.
Source check: Git-Stars currently has 2 explicit source reference(s) for this report and a recent growth signal of 2.0k. Follow the original GitHub repository for final install, security, and release information.
Analysis
ReadyOriginal problem, capability, and verdict guidance are available.
Sources
ReadyRepository metadata and README/source references are attached.
License
ReadyMIT is recorded for review.
Maintenance
ReadyRecent activity is visible in repository metadata.
Alternatives
ReadyEnough nearby projects exist for comparison.
Momentum
8.3k Stars
Reuse
450 Forks
Attention
8.3k Watchers
Maintenance
moderate
License
MIT
Open issues
14
Cloudflare Computer is a virtual filesystem that lives inside a Durable Object, with the authoritative state in SQLite and a pluggable execution surface through `workspace.runtime`. It ships three backends: a container with a FUSE mount, an isolate shell running just-bash, and an isolate JavaScript runtime, all accessible via a single execution entry point. It is a preview package for experimentation, not production use.
Key Features
- Multiple execution backends: container (FUSE mount), isolate shell (just-bash), and isolate JavaScript (ECMAScript modules). - Single execution entry point: `workspace.runtime.exec(source, { backend })`. - Workspace can be used without a backend for filesystem-only operations.
AI Agent
Agent frameworks, autonomous workflows, and tool-use systems
Infrastructure
Cloud, deployment, networking, containers, and platform tooling
npm install @cloudflare/computer63
Health Score
Moderate
Commit Activity
Jun 5, 2026
Created
Aug 14, 2026
Last push
Star history will appear after daily syncs accumulate data.
Forks
Open
Watchers
cloudflare
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✓
License
✓
Forked
~ Moderate
Maintained
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.
Capabilities
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.
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.