| layout | default |
|---|---|
| title | Codex CLI Tutorial |
| nav_order | 133 |
| has_children | true |
| format_version | v2 |
Learn how to use
openai/codexto run a lightweight coding agent locally, with strong controls for auth, configuration, MCP integration, and sandboxed execution.
Codex CLI provides a high-velocity local coding-agent loop in terminal-first workflows while keeping strong configuration and policy controls.
This track focuses on:
- installing and running Codex CLI quickly
- understanding local execution and agent control surfaces
- configuring auth, MCP, and sandbox settings safely
- operating Codex in team and production-adjacent workflows
- repository:
openai/codex - stars: about 120k
- GitHub release reference:
rust-v0.151.0(checked 2026-08-31; release metadata on GitHub)
flowchart LR
A[Task in terminal] --> B[Codex CLI agent loop]
B --> C[Model reasoning and tool calls]
C --> D[Sandbox and approval controls]
D --> E[MCP and connector integrations]
E --> F[Code changes and review]
- how to run Codex CLI in reliable local workflows
- how to configure auth, sandboxing, and MCP safely
- how to codify prompt/skill patterns for consistency
- how to contribute and operate Codex in team contexts
- Codex Repository
- Codex README
- Codex Documentation
- Codex Config Docs
- Codex Security Docs
- Codex Contributing Docs
Start with Chapter 1: Getting Started.
- Start Here: Chapter 1: Getting Started
- Back to Main Catalog
- Browse A-Z Tutorial Directory
- Search by Intent
- Explore Category Hubs
- Chapter 1: Getting Started
- Chapter 2: Architecture and Local Execution Model
- Chapter 3: Authentication and Model Configuration
- Chapter 4: Sandbox, Approvals, and MCP Integration
- Chapter 5: Prompts, Skills, and Workflow Orchestration
- Chapter 6: Commands, Connectors, and Daily Operations
- Chapter 7: Advanced Configuration and Policy Controls
- Chapter 8: Contribution Workflow and Ecosystem Strategy
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