local-ai

Deploy Codex with codex-keysmith

Version-independent deployment for founders, with codex-keysmith, backed by 1.8k+ GitHub stars.

From the repo · “Versioned Codex instruction deployment with preview, ownership manifests, hook isolation, scenario evaluation, and recovery.”

4,772 stars+32★ this week732 forksPythonGuide quality 8/10 · reviewed Aug 3Updated 9/27/2026100% free · open source
What it does

Codex-keysmith enables version-independent deployment of Codex instructions with features like dry-run, backups, hook isolation, and recovery for reliable AI model management.

When to use it
  • •When deploying Codex models across different environments with varying version requirements
  • •When needing to test and validate Codex instructions before applying them to production models
  • •When requiring backup and recovery mechanisms for Codex models to prevent data loss
Ready-to-paste prompt
python -m codex_keysmith apply --instructions {'function': 'sum', 'args': [1, 2, 3]} --model my_codex_model
Heads up: Ensure that the Python version is compatible with the Codex-keysmith library, as it may require specific version dependencies or configurations
Saves to your device
Use with Claude
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Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.

✅ Light setup

Installs with a command or two; your AI agent can do it for you.

Try it instantly — no install
Claude Code
mkdir -p ~/.claude/skills/codex-keysmith && curl -fsSL https://workflowstacks.com/api/skills/codex-keysmith/claude-skill -o ~/.claude/skills/codex-keysmith/SKILL.md
Open in another AI app

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Connect the whole catalog (MCP)
claude mcp add --transport http workflowstacks https://workflowstacks.com/api/mcp

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How Deploy Codex with codex-keysmith works
Codeflow
Free to inspect

Deploy Codex with codex-keysmith is a large Python project (~19k lines across 72 code files, plus 31 test files). Setup is light: installs like a normal app. Reading the code is optional. Last commit this month, MIT license, has a test suite.

Size
Large codebase
~19k lines · 72 code files · ~3 h to skim
Setup
One-command install
Installs like a normal app. Reading the code is optional.
Runs on
Python
No API keys detected
Python 87%JavaScript 12%Rust 1%
Where to start reading
  1. 1
    README.md
    Start here — what it does and how to install it
  2. 2
    pyproject.toml
    Dependencies and the commands it exposes
  3. 3
    examples/gpt-astra.md
    A worked example — copy this to get going
What's in each folder
docs/Documentation49 files
examples/Examples you can copy6 files
gui/Folder114 files
breaktest-results/Folder55 files
scenarios/Folder45 files
fixture_packs/Folder27 files
scripts/Helper scripts9 files
bench/Folder4 files
READMEHas testsDocumentedCI checksExamples includedMIT licenseUpdated this month
Quick Actions
Details
Creator
Jia-Ethan
Language
Python
Category
local-ai
Published
6/28/2026

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