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codingmoh

open-codex

Fully open-source command-line AI assistant inspired by OpenAI Codex, supporting local language models.

ApplicationsCodingPython
Open on GitHub
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+0stars in 24 hours0.0%
695
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55
Forks
+-1
This week
1
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Created 2025-03-29 · Updated 2026-10-13 · #14884 today
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codingmoh

codingmoh/open-codex is ranked 14,884 with 695 stars.

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Key parameters and specifications
Key parameters and specifications
ParameterValue
LanguagePython
CategoryApplications
SubcategoryCoding
KeywordsLocalAI
Stars695
Forks55
Contributors1
Created date2025-03-29
Updated date2026-10-13
Stars in 1 day0
Stars in 7 days-1
Rank14,884
Previous rank14,722
Rank change-162
7-day stars rank17,703
Previous 7-day stars rank17,659
7-day stars rank change-44
Total stars rank14,961
Previous total stars rank14,935
Total stars rank change-26
README summary

🧠 **Runs 100% locally** – no OpenAI API key required. Send your prompt to the Ollama API (local server, e. Prompt you to execute, copy, or abort 🛠️ You must have Ollama installed and running locally to use this feature. Commands are executed **only after your explicit confirmation**.

Frequently asked questions

How many stars and forks are recorded?

codingmoh/open-codex has 695 stars and 55 forks.

What is the repository rank?

codingmoh/open-codex is ranked 14,884.

What language and category are recorded?

codingmoh/open-codex has 695 stars, uses Python and belongs to Applications.

Which repository is closest in rank?

codingmoh/open-codex is compared with m-sec-org/BreachWeave, ranked 14,888 with 695 stars.

README

Open Codex

Open Codex CLI

Lightweight coding agent that runs in your terminal

brew tap codingmoh/open-codex && brew install open-codex

Open Codex is a fully open-source command-line AI assistant inspired by OpenAI Codex, supporting local language models like phi-4-mini and full integration with Ollama.

🧠 Runs 100% locally – no OpenAI API key required. Everything works offline.

Supports

  • One-shot mode: open-codex "list all folders" -> returns shell command
  • Ollama integration for (e.g., LLaMA3, Mistral)
  • Native execution on macOS, Linux, and Windows

✨ Features

  • Natural Language → Shell Command (via local or Ollama-hosted LLMs)
  • Local-only execution: no data sent to the cloud
  • Confirmation before running any command
  • Option to copy to clipboard / abort / execute
  • Colored terminal output for better readability
  • Ollama support: use advanced LLMs with --ollama --model llama3

🔍 Example with Ollama:

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

Codex will:

  1. Send your prompt to the Ollama API (local server, e.g. on localhost:11434)
  2. Return a shell command suggestion (e.g., find . -name "*.jpg" -size +10M)
  3. Prompt you to execute, copy, or abort

🛠️ You must have Ollama installed and running locally to use this feature.

🧱 Future Plans

  • Interactive, context-aware mode
  • Fancy TUI with textual or rich
  • Full interactive chat mode
  • Function-calling support
  • Whisper-based voice input
  • Command history & undo
  • Plugin system for workflows

📦 Installation

🔹 Option 1: Install via Homebrew (Recommended for MacOS)

brew tap codingmoh/open-codex
brew install open-codex

🔹 Option 2: Install via pipx (Cross-platform)

pipx install open-codex

🔹 Option 3: Clone & install locally

git clone https://github.com/codingmoh/open-codex.git
cd open_codex
pip install .

Once installed, use the open-codex CLI globally.

🚀 Usage Examples

▶️ One-shot mode

open-codex "untar file abc.tar"

✅ Codex suggests a shell command
✅ Asks for confirmation / add to clipboard / abort
✅ Executes if approved

▶️ Using Ollama

open-codex --ollama --model llama3 "delete all .DS_Store files recursively"

🛡️ Security Notice

All models run locally. Commands are executed only after your explicit confirmation.

🧑‍💻 Contributing

PRs welcome! Ideas, issues, improvements — all appreciated.

📝 License

MIT

❤️ Built with love and caffeine by codingmoh.

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