Codex CLI

Codex CLI

OpenAI
5.0 out of 5 stars
Muse Code

Muse Code

Meta
5.0 out of 5 stars
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About

Codex CLI is an open-source, lightweight coding agent that integrates directly into your terminal, designed to help developers write, edit, and understand code efficiently. By pairing with Codex CLI, developers can leverage the power of AI to streamline their workflow, get real-time code suggestions, and improve their coding accuracy, all from within their command line interface. It provides a seamless, accessible way to enhance coding productivity while staying in the environment developers are already comfortable with.

About

Muse Code is Meta’s terminal coding agent, powered by Muse Spark 1.2, for handling complex software engineering tasks across large repositories. The agent can plan changes, write code, validate results, and coordinate multiple persistent subagents during development sessions. Muse Code uses async background agents that stay active throughout a session to reduce repeated information gathering and help complete multi-step tasks with less steering. Its runtime uses a local event log that records model calls, tool runs, approvals, and edits so sessions can be replayed and resumed after failures. Muse Code includes bundled skills such as /plan for approval-gated planning, /grill for stress-testing plans, and /goal for working toward completion. Built for AI developers and software teams, Muse Code helps automate coding workflows, long-running engineering tasks, debugging, and repository-level development.

Platforms Supported

Windows Supported
Mac Supported
Linux Supported
Cloud Not Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Platforms Supported

Windows Supported
Mac Supported
Linux Supported
Cloud Not Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Audience

Codex CLI is ideal for developers and software engineers looking to enhance their coding efficiency, automate repetitive tasks, and improve code quality using AI-powered assistance directly within their command line environment

Audience

Software engineers, AI developers, coding agent users, platform teams, DevOps teams, ML engineers, research teams, enterprise development teams, and organizations that need terminal coding agents, repository automation, code generation, debugging, validation, persistent subagents, replay-safe execution, long-running coding workflows, and end-to-end software development support

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Not Supported

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported

API

Offers API Not Supported

API

Offers API Supported

Screenshots and Videos

Screenshots and Videos

Pricing

Free
Open source
Free Version Supported
Free Trial Not Supported

Pricing

$1.25 per 1M tokens (input)
Standard pricing: $1.25 per million input tokens and $4.25 per million output tokens

Discounted "contributor" tier costing $0.10 per million input tokens and $0.20 per million output tokens for users who agree to share feedback to improve the AI.
Free Version Supported
Free Trial Not Supported

Reviews/Ratings

Overall 5.0 / 5
ease 5.0 / 5
features 5.0 / 5
design 5.0 / 5
support 5.0 / 5

Reviews/Ratings

Overall 5.0 / 5
ease 5.0 / 5

Pros & Cons from Real Users

Pros

  • Codex CLI is great because it brings OpenAI’s coding agent directly into the terminal. I like that it fits into a normal developer workflow instead of forcing everything through a separate web app or IDE extension. It can read, modify, and work with code locally, which makes it useful for debugging, refactoring, exploring a repo, and handling coding tasks without leaving the command line. That is especially nice for developers who already live in terminal-first workflows. I also like that it is part of the broader Codex ecosystem. If I want the same general agent experience in an IDE, desktop app, or ChatGPT’s cloud-based Codex, there are options for that too.

Cons

  • I would still supervise it closely. Any AI coding agent that can touch local files and interact with a dev environment needs review, tests, and clear boundaries. It can also run into the usual coding-agent issues: setup problems, API/config errors, terminal quirks, command failures, and tool-use mistakes. A recent empirical study of Claude Code, Codex, and Gemini CLI found that many reported bugs in these tools involve functionality, integrations, configuration, terminal behavior, and command execution.

Pros & Cons from Real Users

Pros

  • Muse Code looks exciting because Meta is finally going after coding agents directly, not just releasing another general AI model. A terminal-based agent that can write code, inspect software, run tests, and validate changes is exactly the kind of workflow developers actually care about. The pricing angle is a big deal. Meta is pitching Muse Code as one of the more affordable coding agents, with a lower-cost tier that is reportedly less than one-tenth the cost of its general Muse Spark model. That matters if you use coding agents all day instead of just for the occasional refactor. I also like that it is powered by Muse Spark 1.2, which sounds more focused on software engineering than earlier Muse Spark releases. If Meta can make the agent reliable inside real repos, Muse Code could become a serious daily tool.

Cons

  • It is still in beta, so I would not trust it blindly yet. Coding agents need to prove themselves on messy codebases, failing tests, weird dependencies, security-sensitive changes, and long multi-step tasks. I would also want to see more independent developer feedback. Meta’s pricing and positioning are interesting, but the real test is whether Muse Code can consistently make good changes without wasting time or creating cleanup work.

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Company Information

OpenAI
Founded: 2015
United States
openai.com

Company Information

Meta
Founded: 2004
United States
meta.ai

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5.0 out of 5 stars
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Categories

Agentic AI Supported
AI Agents Supported
AI Code Generators Supported
AI Coding Agents Supported

Categories

Integrations

Muse Spark Supported
Muse Spark 1.1 Supported
Muse Spark 1.2 Supported
Muse Spark 1.3 Supported
Muse Wonder Supported
Muse Wonder Full Supported
Paseo Supported
Coachful Supported
Flottix Supported
GPT-5.4 Supported
Logipax Supported
Moonchild Supported
Morphy Supported
Node.js Supported
Reaudit Supported
Sitelemetry Supported
Stonify Supported
Supersonic Supported
oh-my-claudecode Supported
oh-my-codex (OMX) Supported

Integrations

Muse Spark Supported
Muse Spark 1.1 Supported
Muse Spark 1.2 Supported
Muse Spark 1.3 Supported
Muse Wonder Supported
Muse Wonder Full Supported
Paseo Supported
Coachful Not Supported
Flottix Not Supported
GPT-5.4 Not Supported
Logipax Not Supported
Moonchild Not Supported
Morphy Not Supported
Node.js Not Supported
Reaudit Not Supported
Sitelemetry Not Supported
Stonify Not Supported
Supersonic Not Supported
oh-my-claudecode Not Supported
oh-my-codex (OMX) Not Supported
Claim Codex CLI and update features and information
Claim Codex CLI and update features and information
Claim Muse Code and update features and information
Claim Muse Code and update features and information