Every Code vs Panes: Codex CLI Forks Compared

Mar 9, 2026

Cowrie

Dev @ Bswen

Problem

I wanted an alternative to OpenAI’s Codex App. The open-source community delivered two interesting options in the same week: Every Code and Panes. But they take fundamentally different approaches to solving the same problem.

One extends Codex CLI with auto-validation and multi-agent features. The other builds a unified desktop cockpit that can orchestrate multiple coding agents. I tested both to understand when to use each.

What Each Project Is

Every Code

Every Code is a fork of OpenAI’s Codex CLI, built by Stellar Link. It extends the original with features inspired by Claude Code’s workflow patterns.

Every Code architecture

+--------------------------------------------------+
|                 Every Code                       |
+--------------------------------------------------+
|  Codex CLI Base (OpenAI's foundation)            |
|  + Auto-Validation                               |
|  + Auto-Review                                   |
|  + Agent Teams                                   |
|  + Hooks System                                  |
|  + Web UI (codex serve)                          |
|  + Multi-provider (OpenAI, Anthropic, Gemini)    |
+--------------------------------------------------+
|              Rust Implementation                  |
+--------------------------------------------------+

Key differentiator: auto-validation and auto-review. A Reddit user working on a similar project pointed out:

“Please look towards Every Code for inspiration. The auto validation and auto review do amazing things for me.”

Panes

Panes is a local-first desktop app that integrates chat, terminal, Git, and editor into a unified “cockpit” for coding agents.

Panes architecture

+--------------------------------------------------+
|                   Panes                          |
+--------------------------------------------------+
|  Built-in Components:                            |
|  + Chat Interface                                |
|  + Terminal Emulator                             |
|  + Git UI                                        |
|  + Code Editor with Splits                       |
+--------------------------------------------------+
|  Harness Abstraction Layer                       |
|  + Claude Code backend                           |
|  + Codex CLI backend                             |
|  + Other coding agents                           |
+--------------------------------------------------+
|              Tauri Desktop App                   |
+--------------------------------------------------+

The Panes author describes it as:

“More of a work cockpit for coding agents than a traditional IDE”

Core Differences

The fundamental distinction: Every Code is a CLI tool that extends Codex. Panes is a GUI app that orchestrates multiple agents.

Architectural comparison

Every Code                          Panes
-------------                       -------------
Terminal-based                      Desktop app (Tauri)
Extends Codex CLI                   Uses Codex CLI as backend
Direct API calls                    Harness abstraction
Rust-native                         JavaScript/TypeScript
AGPL-3.0 license                    MIT license

Feature Comparison

I tested both and compiled this comparison:

Feature	Every Code	Panes
Type	Codex CLI fork (terminal)	Desktop app with UI
Auto-Validation	Built-in	Depends on backend
Auto-Review	Built-in	Depends on backend
Multi-Agent	Agent teams	Broadcasting
Web UI	Yes (codex serve)	Desktop only
Backend Support	Direct API	Multiple harnesses
Git Integration	CLI commands	Built-in Git UI
Editor	External	Built-in with splits
License	AGPL-3.0	MIT

Every Code in Practice

Installation

Installing Every Code

# Clone the repository
git clone https://github.com/stellarlinkco/codex.git
cd codex

# Build with Cargo
cargo build --release

# Run
./target/release/codex

Auto-Validation

The standout feature. Every Code can automatically validate changes before committing:

Auto-validation workflow

1. AI generates code changes
2. Every Code runs validation hooks
3. Tests execute automatically
4. Linting runs
5. Review agent checks quality
6. Only passes if all checks succeed

This creates a tighter feedback loop. Instead of generating code and hoping it works, you get immediate validation.

Multi-Model Support

Every Code supports multiple providers:

Configuring providers

# OpenAI (default)
export OPENAI_API_KEY="your-key"

# Anthropic
export ANTHROPIC_API_KEY="your-key"

# Google Gemini
export GOOGLE_API_KEY="your-key"

The goal, from their README: “a Rust OpenCode with multi-model support, multi-agent collaboration, and long-running orchestration.”

Agent Teams

Every Code supports agent teams working together:

Agent team coordination

+------------------+
|  Orchestrator    |  <-- Plans and delegates
+------------------+
        |
   +----+----+
   |         |
+------+  +------+
| Coder |  | Tester|  <-- Specialized agents
+------+  +------+
   |         |
   +----+----+
        |
+------------------+
|   Reviewer       |  <-- Final validation
+------------------+

Web UI

Start a web interface with:

Launching Web UI

codex serve --port 8080

This provides a browser-based interface similar to Codex App, but self-hosted.

Panes in Practice

Installation

Installing Panes

git clone https://github.com/nickg/panes.git
cd panes
npm install
npm run dev

Unified Interface

Panes combines four components in one window:

Panes layout

+------------------------+------------------------+
|                        |                        |
|    Chat Panel          |    Editor Panel        |
|    (AI interaction)    |    (Code editing)      |
|                        |                        |
+------------------------+------------------------+
|                        |                        |
|    Terminal Panel      |    Git Panel           |
|    (Command execution) |    (Version control)   |
|                        |                        |
+------------------------+------------------------+

All four share context. When AI generates code in chat, you see it in the editor. When you commit in Git, the chat knows what changed.

Multi-Harness Support

Panes abstracts the AI backend:

Harness abstraction

+-----------------------------------+
|           Panes UI                |
+-----------------------------------+
|        Harness Layer              |
+-----------+-----------+-----------+
| Claude    | Codex     | Future   |
| Code      | CLI       | Agents   |
+-----------+-----------+-----------+

Switch backends without changing workflow

This means you can use Claude Code for reasoning-heavy tasks and Codex CLI for OpenAI’s models, all in the same interface.

Broadcasting

Panes supports broadcasting queries to multiple agents:

Multi-agent broadcasting

Query: "Should I use Redis or Memcached?"

+-----------------+-----------------+
| Claude Code     | Codex CLI       |
| Response        | Response        |
+-----------------+-----------------+
| "Redis for      | "Memcached for  |
| persistence"    | simplicity"     |
+-----------------+-----------------+
        |                |
        +-------+--------+
                |
         Compare and decide

When Each Shines

Choose Every Code If

1. You live in the terminal - Every Code extends your existing CLI workflow
2. You need auto-validation - The built-in validation hooks catch issues early
3. You work with multiple LLM providers - Native support for OpenAI, Anthropic, Gemini
4. You want multi-agent orchestration - Agent teams coordinate complex tasks
5. You need a Web UI option - codex serve provides browser access

Choose Panes If

1. You prefer a visual interface - Integrated terminal, editor, Git, chat
2. You switch between AI providers - Harness abstraction makes switching easy
3. You manage multiple repositories - Workspace management built in
4. You want built-in Git visualization - No external Git tools needed
5. You prefer MIT license - More permissive for commercial use

The Community Conversation

The Reddit discussion revealed interesting dynamics. A developer named cbusillo, who was building a similar project, said:

“I gave up on my project yesterday and started working on adding every code to t3, but yours [Panes] looks like a way better base.”

And then:

“Please look towards Every Code for inspiration. It’s a very similar but different project to yours. The auto validation and auto review do amazing things for me.”

This sparked collaboration interest. The Panes author responded:

“Thanks man, will definitely check it out!”

This hints at potential convergence: Panes as the unified interface, with Every Code as a backend harness that brings auto-validation.

Licensing Consideration

Every Code uses AGPL-3.0. Panes uses MIT.

License implications

AGPL-3.0 (Every Code)
- Must share source if you modify and deploy over network
- Strong copyleft requirements
- Best for open-source projects

MIT (Panes)
- Use freely in commercial projects
- No copyleft requirements
- Best for maximum flexibility

Your choice depends on your project’s licensing needs.

Performance Characteristics

Performance comparison

| Aspect          | Every Code        | Panes              |
|-----------------|-------------------|--------------------|
| Language        | Rust              | TypeScript/Tauri   |
| Memory usage    | Lower             | Moderate           |
| Startup time    | Fast (native)     | Moderate (desktop) |
| UI overhead     | None              | Desktop app frame  |
| SSH friendly    | Yes               | No                 |

Every Code’s Rust implementation means lower resource usage. Panes adds desktop app overhead but provides richer interaction.

My Take

I see them as complementary, not competitive.

Every Code excels at deepening the CLI experience. If you’re comfortable in the terminal and want AI with auto-validation baked in, it’s the logical choice.

Panes excels at unifying the visual workspace. If you want one window for everything and the flexibility to switch AI backends, it’s the better fit.

The real win? Using them together. Panes as the cockpit, Every Code as a backend harness. You’d get the unified interface plus auto-validation capabilities.

Summary

Every Code and Panes solve the same problem from different angles:

Every Code: Terminal-native, auto-validation, multi-agent teams, Rust-fast, AGPL-licensed. Best for developers who live in the CLI and want deeper AI integration.

Panes: Desktop-native, unified workspace, multi-harness, visual Git, MIT-licensed. Best for developers who want a single window for their entire AI-assisted workflow.

The Reddit conversation suggests convergence might happen. Panes could integrate Every Code as a backend, giving you the best of both: visual cockpit with auto-validation.

For now, pick based on your primary need: terminal power (Every Code) or visual integration (Panes).

Final Words + More Resources

My intention with this article was to help others share my knowledge and experience. If you want to contact me, you can contact by email: Email me

Here are also the most important links from this article along with some further resources that will help you in this scope:

• 👨‍💻 Every Code GitHub Repository
• 👨‍💻 Panes GitHub Repository
• 👨‍💻 OpenAI Codex CLI
• 👨‍💻 Reddit: Panes Open Source Alternative Discussion

Oh, and if you found these resources useful, don’t forget to support me by starring the repo on GitHub!

Comments

Tags:

• ai-coding
• ai
• startup

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