open-codex-computer-use

Name: open-codex-computer-use
Author: iFurySt

Verified

👾 Open Computer Use – Open-Source Alternative to Codex Computer Use

2,193stars

196forks

Swift

Installation

# Add to your Claude Code skills
git clone https://github.com/iFurySt/open-codex-computer-use

Getting Started

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Security ReportVerified

Last scanned: 5/10/2026

{
  "issues": [],
  "status": "PASSED",
  "scannedAt": "2026-05-10T06:33:02.780Z",
  "semgrepRan": false,
  "npmAuditRan": true,
  "pipAuditRan": true
}

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README.md

Frequently Asked Questions

What is open-codex-computer-use?

open-codex-computer-use is an open-source ai agents skill for AI coding assistants such as Claude Code, Codex CLI, and ChatGPT, built by iFurySt. 👾 Open Computer Use – Open-Source Alternative to Codex Computer Use. It has 2,193 GitHub stars.

Is open-codex-computer-use safe to use?

Yes. open-codex-computer-use passed SkillsLLM's automated security scan — a dependency vulnerability audit plus prompt-injection heuristics — with no high-severity issues. You can read the full report in the Security Report section on this page.

How do I install open-codex-computer-use?

Clone the repository with "git clone https://github.com/iFurySt/open-codex-computer-use" and add it to your Claude Code skills directory (see the Installation section above).

What programming language is open-codex-computer-use written in?

open-codex-computer-use is primarily written in Swift. It is open-source under iFurySt on GitHub, so you can review or fork the full source.

Are there alternatives to open-codex-computer-use?

Yes. SkillsLLM lists many other AI Agents skills you can browse and compare side by side. Open the AI Agents category from the badge at the top of this page, or use the Related Skills and comparison links further down to weigh open-codex-computer-use against similar tools.

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Related Skills

ECC

by affaan-m

The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond.

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⚠️ Third-Party Software Notice

This skill is third-party open-source software developed and hosted independently on GitHub. SkillsLLM is an informational directory and does not control or maintain the underlying repository.

Any security checks, ratings, or warnings displayed by SkillsLLM are automated and limited in scope. They do not constitute a security certification or guarantee that the software is safe, error-free, or free from malicious code, vulnerabilities, compromised dependencies, or prompt-injection risks.

Review the source code, permissions, dependencies, and configuration before installing or running any third-party skill. Use is at your own risk. To the maximum extent permitted by applicable law, SkillsLLM is not liable for losses arising from third-party software.

Read the Terms of Service

open-computer-use

[!TIP] Interested in Browser Use? Check out open-browser-use.

open-computer-use is an open-source Computer Use service wrapped as MCP. Any AI agent or MCP client can use it to run Computer Use on macOS, Linux, and Windows.

This project was inspired by OpenAI's Codex Computer Use. It showed that non-intrusive CUA can be built on top of Accessibility, so I decided to build an open-source version.

I started this repo with my harness template, a template for quickly spinning up AI-first projects. It has been one of our most useful workflows lately, especially for nearly 100% AI-generated projects. I also wrote a post about the methodology behind it.

Demos

Codex App and Codex CLI

open-computer-use used as Computer Use in Codex App and Codex CLI, matching the official experience.

Gemini CLI

https://github.com/user-attachments/assets/eacb3b15-f939-46c7-b3b3-6f876977a58d

Gemini CLI connects to open-computer-use through MCP and runs full Computer Use actions.

Linux

https://github.com/user-attachments/assets/e036b1c8-2200-4896-abd4-19225915cf66

open-computer-use running on Linux.

Quick Start

npm i -g open-computer-use

The npm package also exposes ocu as the short CLI alias.

[!IMPORTANT] The macOS runtime requires macOS 14.0 or later.

On macOS, run it once and grant Accessibility and Screen Recording. Windows and Linux do not need this step.

open-computer-use
# or
ocu

Before using it, install it into your agent:

# Install into Codex by writing to ~/.codex/config.toml
open-computer-use install-codex-mcp

Or add it to your own client manually:

{
  "mcpServers": {
    "open-computer-use": {
      "command": "open-computer-use",
      "args": ["mcp"]
    }
  }
}

Skill

Install the skill directly:

# Install for Codex
npx skills add iFurySt/open-codex-computer-use -g -a codex --skill open-computer-use -y
npx skills ls -g -a codex | rg 'open-computer-use'

Install for Claude Code:

npx skills add iFurySt/open-codex-computer-use -g -a claude-code --skill open-computer-use -y

Update an existing global install, including the Codex install created above:

npx skills update open-computer-use -g -y

You can also manually download and install the open-computer-use skill.

Besides the MCP JSON config above, you can also use the built-in commands:

# Install into Codex by writing to ~/.codex/config.toml
open-computer-use install-codex-mcp
ocu install-codex-mcp

# Install as a Codex plugin, mainly for Codex App
open-computer-use install-codex-plugin

# Install into Claude Code by writing to ~/.claude.json
open-computer-use install-claude-mcp

# Install into Gemini CLI for the current project by writing to ./.gemini/settings.json
open-computer-use install-gemini-mcp

# Install into Gemini CLI user config instead
open-computer-use install-gemini-mcp --scope user

# Install into opencode by writing to ~/.config/opencode/opencode.json (or the active config file)
open-computer-use install-opencode-mcp

# Install through DeepSeek Harness's generic MCP compatibility path:
# verifies the server, then writes a profile patch, turn-boundary hook, and skill
open-computer-use install-dsh-mcp
./scripts/install-dsh-mcp.sh --profile web --no-hook

# Call a single Computer Use tool and print the MCP-style JSON result
open-computer-use call list_apps
ocu call list_apps
open-computer-use call get_app_state --args '{"app":"TextEdit"}'

# Run a sequence in one process so element_index state can be reused
# Sequence runs sleep 1s between successful operations by default
open-computer-use call --calls '[{"tool":"get_app_state","args":{"app":"TextEdit"}},{"tool":"press_key","args":{"app":"TextEdit","key":"Return"}}]'
open-computer-use call --calls-file examples/textedit-overlay-seq.json --sleep 0.5

# Check permissions; onboarding only opens when something is missing
open-computer-use doctor

# Run local validation from a source checkout
make smoke
OPEN_COMPUTER_USE_STRESS_LOOPS=20 make stress
make agent-smoke
make agent-smoke SCENARIO=fixture-full
node ./scripts/run-agent-smoke-tests.mjs --agents=claude,codex --command=open-computer-use
node ./scripts/run-agent-smoke-tests.mjs --scenario=fixture --agents=claude,codex --command=open-computer-use
node ./scripts/run-agent-smoke-tests.mjs --scenario=fixture-full --agents=claude,codex --command=open-computer-use
OPEN_COMPUTER_USE_HERMES_PROVIDER=anthropic OPEN_COMPUTER_USE_HERMES_MODEL=claude-opus-4-20250514 make agent-smoke AGENTS=hermes SCENARIO=fixture-full
node ./scripts/run-agent-smoke-tests.mjs --agents=hermes --hermes-provider=anthropic --hermes-model=claude-opus-4-20250514
node ./scripts/run-agent-smoke-tests.mjs --scenario=fixture --agents=hermes --hermes-provider=anthropic --hermes-model=claude-opus-4-20250514
node ./scripts/run-agent-smoke-tests.mjs --scenario=fixture-full --agents=hermes --hermes-provider=anthropic --hermes-model=claude-opus-4-20250514 --hermes-max-turns=12

# Show help
open-computer-use -h
ocu -h

Cursor Motion

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Star History

License

MIT.