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344 changes: 344 additions & 0 deletions docs/codex-vs-gemini-comparison.md
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# Codex vs Gemini CLI: Customization and Extensibility Comparison

A comprehensive analysis of two leading AI-powered CLI tools, focusing on their customization capabilities and extensibility features.

## Executive Summary

**Codex CLI** (OpenAI) and **Gemini CLI** (Google) represent two distinct approaches to AI-powered command-line development tools. While both prioritize customization and extensibility, they employ fundamentally different architectural philosophies:

- **Codex** emphasizes a **minimalist, protocol-driven architecture** with strong security guarantees
- **Gemini** focuses on a **feature-rich, user-friendly experience** with comprehensive built-in capabilities

## Project Overview

### Codex CLI (OpenAI)

- **Language**: Rust
- **Philosophy**: Lightweight coding agent with security-first design
- **Target**: Terminal-focused developers who prioritize performance and security
- **Architecture**: Protocol-driven client-server with multiple UI frontends

### Gemini CLI (Google)

- **Language**: TypeScript/Node.js
- **Philosophy**: Comprehensive AI workflow tool with rich feature set
- **Target**: Developers working with large codebases and complex workflows
- **Architecture**: Package-based modular system with React-powered terminal UI

## Customization Capabilities

### Configuration Systems

| Aspect | Codex | Gemini |
| ------------------------- | -------------------------------- | --------------------------------------------------- |
| **Format** | TOML with comments | JSON with environment variable expansion |
| **Locations** | `~/.codex/config.toml` | `~/.gemini/settings.json` + `.gemini/settings.json` |
| **Environment Variables** | Limited (`CODEX_HOME`, API keys) | Extensive (`$VAR` expansion, hierarchical `.env`) |
| **Profiles** | ✅ Named profile system | ❌ No profiles (workspace settings instead) |
| **Runtime Changes** | ❌ Requires restart | ✅ Dynamic updates supported |

#### Codex Configuration Strengths

- **Profile System**: Switch between complete configuration sets
- **TOML Format**: Human-readable with comment support
- **Strong Typing**: Rust-based validation prevents configuration errors
- **Hierarchical Precedence**: CLI flags → profiles → base config → defaults

#### Gemini Configuration Strengths

- **Two-Tier Settings**: User and workspace-specific configurations
- **Dynamic Updates**: Settings can be modified during runtime
- **Environment Integration**: Extensive variable expansion and `.env` support
- **Hierarchical Context**: Multi-level context file inheritance

### Model and Provider Customization

#### Codex

```toml
[model_providers.custom-llm]
name = "Custom LLM Provider"
base_url = "https://api.custom.com/v1"
env_key = "CUSTOM_API_KEY"
wire_api = "chat"
query_params = { api-version = "2025-04-01" }

[profiles.development]
model = "gpt-4"
approval_policy = "untrusted"
sandbox = "workspace-write"
```

#### Gemini

```json
{
"theme": "atom-one",
"coreTools": ["file_system", "shell", "web"],
"mcpServers": {
"custom-server": {
"command": "python",
"args": ["server.py"],
"trust": true
}
}
}
```

## Extensibility Features

### Extension Architecture Comparison

| Feature | Codex | Gemini |
| ----------------------- | ----------------------------- | --------------------------------- |
| **Plugin System** | ❌ Configuration-based only | ✅ Directory-based extensions |
| **MCP Support** | ✅ Native Rust implementation | ✅ Official SDK integration |
| **Custom Tools** | Via MCP servers only | MCP + custom tool discovery |
| **Extension Discovery** | Configuration files | `.gemini/extensions/` directories |
| **API Access** | Protocol-based communication | Direct TypeScript interfaces |

### Model Context Protocol (MCP) Integration

Both projects heavily leverage MCP for extensibility, but with different implementations:

#### Codex MCP Features

- **Native Rust Implementation**: Custom MCP client/server in Rust
- **Connection Manager**: Sophisticated multi-server management
- **Tool Namespacing**: Prevents conflicts with `server__OAI_CODEX_MCP__tool` format
- **Security**: Sandboxed server execution with timeout management
- **Performance**: Concurrent server spawning and tool aggregation

#### Gemini MCP Features

- **Official SDK**: Uses standard MCP TypeScript SDK
- **Multiple Transports**: Stdio, SSE, and HTTP support
- **Trust Model**: Trust-based confirmation bypass for known servers
- **Extension Integration**: MCP servers can be defined per-extension
- **Tool Registry**: Centralized tool discovery and registration

### Custom Tool Development

#### Codex Approach

```rust
// Tools must be implemented as MCP servers
// Example: Custom file processor MCP server
pub struct CustomTool {
name: String,
description: String,
}

impl McpTool for CustomTool {
async fn execute(&self, params: serde_json::Value) -> Result<ToolResult> {
// Custom tool implementation
}
}
```

#### Gemini Approach

```typescript
// Built-in tool interface
export class CustomFileTool implements Tool<CustomParams, CustomResult> {
name = "custom_file_tool";
displayName = "Custom File Tool";
description = "Processes files with custom logic";

async execute(params: CustomParams): Promise<CustomResult> {
// Direct tool implementation
}
}

// Or via tool discovery command
{
"toolDiscoveryCommand": "python discover_tools.py",
"toolCallCommand": "python execute_tool.py"
}
```

### Extension Examples

#### Codex Extensions (via MCP)

- **Custom Model Providers**: Add any OpenAI-compatible API
- **External Tools**: Database clients, cloud providers, monitoring systems
- **Notification Integrations**: Slack, Discord, email notifications
- **Development Tools**: Linters, formatters, test runners

#### Gemini Extensions

```json
{
"name": "development-tools",
"version": "1.0.0",
"mcpServers": {
"linter": { "command": "eslint-mcp-server" },
"formatter": { "command": "prettier-mcp-server" }
},
"excludeTools": ["web_search"],
"contextFileName": "DEV_CONTEXT.md"
}
```

## Security and Sandboxing

### Codex Security Model

- **Multi-layered Approval**: Separate workflows for commands and file patches
- **Native Sandboxing**: Landlock (Linux) and Seatbelt (macOS) integration
- **Execution Policies**: Configurable safety checks and command restrictions
- **MCP Isolation**: Server process isolation with resource limits

### Gemini Security Model

- **Confirmation-based**: User prompts for destructive operations
- **Trust System**: Bypass confirmations for trusted MCP servers
- **Docker Sandboxing**: Optional containerized execution environment
- **Allowlisting**: Server and tool-level access controls

## Performance and Architecture

### System Architecture

#### Codex: Protocol-Driven Design

```
┌─────────────┐ Protocol ┌──────────────┐
│ TUI/CLI/Exec│ ◄──────────── │ Core Library │
└─────────────┘ └──────────────┘
┌──────▼──────┐
│ MCP Manager │
└─────────────┘
```

**Benefits:**

- Transport-agnostic communication
- Multiple UI implementations possible
- Clear separation of concerns
- Native performance with zero-cost abstractions

#### Gemini: Package-Based Modularity

```
┌─────────────┐ Direct Calls ┌──────────────┐
│ CLI Package │ ◄────────────────► │ Core Package │
└─────────────┘ └──────────────┘
┌──────▼──────┐
│ Tool Registry│
└─────────────┘
```

**Benefits:**

- Flexible tool registration
- Modern TypeScript ecosystem
- React-based terminal UI
- Comprehensive built-in toolset

### Performance Characteristics

| Metric | Codex | Gemini |
| ------------------------- | ----------------------- | --------------------------- |
| **Startup Time** | Fast (native binary) | Moderate (Node.js runtime) |
| **Memory Usage** | Low (Rust efficiency) | Higher (JavaScript runtime) |
| **Tool Execution** | Fast (native + MCP) | Good (async/await patterns) |
| **Concurrent Operations** | Excellent (Rust async) | Good (Node.js event loop) |
| **File Operations** | Moderate (MCP overhead) | Excellent (built-in tools) |

## Use Case Recommendations

### Choose Codex If You Need:

- **Maximum Security**: Native sandboxing and strict approval workflows
- **Performance**: Native execution with minimal resource usage
- **Flexibility**: Protocol-driven architecture supporting multiple frontends
- **Extensibility via MCP**: Rich ecosystem of external MCP servers
- **Terminal-First**: Optimized for terminal-based development workflows

### Choose Gemini If You Need:

- **Rich Built-in Tools**: Comprehensive file system and web capabilities
- **User-Friendly UX**: Modern terminal UI with React components
- **Large Codebase Support**: 1M+ token context windows
- **Rapid Prototyping**: Extensive built-in functionality reduces setup time
- **Google Ecosystem**: Integration with Google services and authentication

## Customization Examples

### Codex: Creating a Development Profile

```toml
# ~/.codex/config.toml
[profiles.development]
model = "gpt-4"
approval_policy = "untrusted"
sandbox = "workspace-write"
notify = ["osascript", "-e", "display notification \"Task completed\""]

[profiles.production]
model = "o1"
approval_policy = "on-failure"
sandbox = "read-only"

[mcp_servers.database]
command = "python"
args = ["-m", "database_mcp_server"]
env = { DB_URL = "$DATABASE_URL" }
```

### Gemini: Project-Specific Extension

```json
# .gemini/settings.json
{
"theme": "github",
"mcpServers": {
"project-tools": {
"command": "./scripts/mcp-server.js",
"trust": true
}
},
"excludeTools": ["web_search"],
"contextFileName": "PROJECT_CONTEXT.md"
}
```

## Future Extensibility

### Codex Roadmap Indicators

- **Custom Trusted Commands**: User-defined safe commands
- **Enhanced Protocol**: More sophisticated communication patterns
- **Multi-model Support**: Improved model provider ecosystem
- **Plugin API**: Potential for more formal plugin architecture

### Gemini Current Trajectory

- **Extension Registry**: Centralized extension discovery
- **Advanced Telemetry**: Enhanced monitoring and analytics
- **Tool Ecosystem**: Growing library of community tools
- **API Improvements**: More powerful tool development APIs

## Conclusion

Both Codex and Gemini offer robust customization and extensibility, but serve different developer needs:

**Codex excels for developers who prioritize**:

- Security and sandboxing
- Performance and resource efficiency
- Protocol-driven architecture
- MCP-based extensibility

**Gemini excels for developers who prioritize**:

- Rich built-in functionality
- User experience and interface design
- Rapid development workflows
- Comprehensive tool ecosystem

The choice between them depends on your specific requirements for security, performance, built-in capabilities, and architectural preferences. Both represent mature, well-designed approaches to AI-powered development tools with strong extensibility stories through MCP and their respective configuration systems.
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