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pluginbeginnerChatGPT/Codex

Open Codex: A Local-First, Open-Source Command Line AI Assistant

Open Codex is a command-line AI assistant for developers that runs entirely on local machines, ensuring data privacy and eliminating API costs. It translates natural language instructions into terminal commands, speeding up development workflows without sending code to the cloud.

AI SETUP PROMPT

Paste into Codex CLI — it will scan your project and set everything up

# Install & Configure: Open Codex: A Local-First, Open-Source Command Line AI Assistant

## What This Is
Open Codex is a command-line AI assistant for developers that runs entirely on local machines, ensuring data privacy and eliminating API costs. It translates natural language instructions into terminal commands, speeding up development workflows without sending code to the cloud.

Source: https://github.com/codingmoh/open-codex

## Before You Start

Scan my workspace and analyze:
- The project language, framework, and directory structure
- Existing agent configuration (check for .claude/, .codex/, CLAUDE.md, settings.json, commands/, skills/ directories)
- Whether this repository or a similar tool is already cloned or installed

Then ask me before proceeding:
1. Do I need to configure any service credentials for this plugin (database, API keys, etc.)?
2. Should this be project-scoped or global?

## Fetch the Source

Clone or inspect the repository to understand what needs to be installed:
```bash
gh repo clone codingmoh/open-codex
```
Review the README, directory structure, and any install instructions before proceeding.

## What to Implement

This is an **Agent Plugin** — typically an MCP server or capability bundle.

- Install any required npm/pip packages from the source repository
- Register the MCP server in `.claude/settings.json` under the `mcpServers` key with the correct command and args
- Configure any required environment variables or credentials
- Verify the server starts correctly by checking its expected output

## Additional Context

- Install the Open Codex tool into the user's environment using the cross-platform pipx method by running `pipx install open-codex`. If pipx is not available, fall back to the appropriate installation method for the user's OS (Homebrew for macOS, pip for others).
- Verify the installation by running a simple command, such as `open-codex --help`, and confirm that the tool is accessible in the system's PATH.
- Check for a running Ollama service on the user's local machine. If detected, demonstrate the tool's core functionality by executing a command with an Ollama model, like `open-codex --ollama --model llama3 "list all python files modified in the last 24 hours"`. If Ollama is not running, inform the user about the enhanced capabilities available with it.

## Reference Implementation

```
open-codex --ollama --model llama3 "find all JPEGs larger than 10MB"
```

## Guidelines

- Adapt everything to my existing project — do not assume a specific stack or directory layout
- Review any fetched code for safety before installing or executing it
- After setup, run a quick verification and show me a summary of exactly what was installed, where, and how to use it
2,750 charactersCompatible with Claude Code & Codex CLI
MANUAL SETUP STEPS
  1. 01Install the Open Codex tool into the user's environment using the cross-platform pipx method by running `pipx install open-codex`. If pipx is not available, fall back to the appropriate installation method for the user's OS (Homebrew for macOS, pip for others).
  2. 02Verify the installation by running a simple command, such as `open-codex --help`, and confirm that the tool is accessible in the system's PATH.
  3. 03Check for a running Ollama service on the user's local machine. If detected, demonstrate the tool's core functionality by executing a command with an Ollama model, like `open-codex --ollama --model llama3 "list all python files modified in the last 24 hours"`. If Ollama is not running, inform the user about the enhanced capabilities available with it.

CODE INTELLIGENCE

bash
open-codex --ollama --model llama3 "find all JPEGs larger than 10MB"

FIELD OPERATIONS

Automated DevOps Script Generator

Create a repository of common, complex administrative tasks (e.g., database backups, user provisioning, log rotation) as simple text files. Use a script to pipe these text descriptions into Open Codex to generate and execute the corresponding shell commands, creating a self-documenting, natural-language DevOps pipeline.

Interactive CLI Onboarding Assistant

Build a tutorial script for new developers that presents them with tasks to complete in the terminal (e.g., 'find all TODO comments in the project', 'archive old log files'). The script will prompt them to use Open Codex to solve the task, helping them learn shell commands through natural language interaction in a safe, guided environment.

STRATEGIC APPLICATIONS

  • →Securely augment developer workflows in high-compliance environments (finance, healthcare) where proprietary code and data cannot be sent to third-party cloud APIs, using Open Codex's local-only execution model.
  • →Accelerate onboarding for junior developers and engineers from different technical backgrounds by allowing them to express command-line tasks in natural language, reducing training time and reliance on senior staff for basic shell operations.

TAGS

#cli#local-llm#ollama#open-source#python#terminal#ai-assistant#codex
Source: GITHUB · Quality score: 8/10
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