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notifymsg/CodexPotter

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💡 Why CodexPotter

Platform npm CI License LinuxDo

CodexPotter continuously reconciles code base toward your instructed state (Ralph Wiggum pattern):

  • 🤖 Codex-first — Codex subscription is all you need; no extra LLM needed.
  • 🧭 Auto-review / reconcile — Review and polish multi rounds until fully aligned with your instruction.
  • 💦 Clean-room — Use clean context in each round, avoid context poisoning, maximize IQ.
  • 🎯 Attention is all you need — Keep you focused on crafting tasks, instead of cleaning up unfinished work.
  • 🚀 Never worse than Codex — Drive Codex, nothing more; no business prompts which may not suit you.
  • 🧩 Seamless integration — AGENTS.md, skills & MCPs just workTM ; opt in to improve plan / review.
  • 🧠 File system as memory — Store instructions in files to resist compaction and preserve all details.
  • 🪶 Tiny footprint — Use <1k tokens, ensuring LLM context fully serves your business logic.
  • 📚 Built-in knowledge base — Keep a local KB as index so Codex learns project fast in clean contexts.

👀 How does it work


 YOUR PROMPT:
 Simplify the query engine by following ...
 │
 │
 codex: Work or review according to MAIN.md │
 ┌──────────────────────────┐ │
 │ │ ▼
 ┌─────────┴─────────┐ ┌──────────▼────────┐ ┌───────────────────┐
 │ CodexPotter │ │ codex │◄─────►│ MAIN.md │
 └─────────さんかく─────────┘ └──────────┬────────┘ └───────────────────┘
 │ │
 │ Work finished │
 └──────────────────────────┘

⚡️ Getting started

1. Prerequisites: ensure you have codex CLI locally. CodexPotter drives your local codex to perform tasks.

2. Install CodexPotter via npm or bun:

# Install via npm
npm install -g codex-potter
# Install via bun
bun install -g codex-potter

3. Run: Start CodexPotter in your project directory, just like Codex:

# --yolo is recommended to be fully autonomous
codex-potter --yolo

⚠️ Note: Unlike Codex, every follow up prompt turns into a new task, not sharing previous contexts. Assign tasks to CodexPotter, instead of chat with it.

⚠️ Note: CodexPotter is not a replacement for codex, because CodexPotter is a loop executor — it executes tasks instead of chatting with you. See below for details.

Tips

Prompt Examples

✅ tasks with clear goals or scopes:

  • "port upstream codex's /resume into this project, keep code aligned"

✅ persist results to review in later rounds:

  • "create a design doc for ... in DESIGN.md"

❌ interactive tasks with human feedback loops:

CodexPotter is not suitable for such tasks, use codex instead:

  • Front-end development with human UI feedback
  • Question-answering
  • Brainstorming sessions

Howto: Ask followup questions in codex

Just pass the project file to codex, like:

based on .codexpotter/projects/2026/03/18/1/MAIN.md,
please explain more about the root cause of the issue

Howto: Plan and execute

Simpliy queue two tasks in CodexPotter, one is plan, one is implement, CodexPotter will execute one by one, for example:

Task prompt 1 (CodexPotter):

Analyze the codebase, research and design a solution for introducing subscription system.
Output plan to docs/subscription_design.md.
Your solution should meet the following requirements: ...
Do not implement the plan, just design a good and simple solution.

↑ Your existing facility to write good plans will be utilized, including skills, plan doc principles in AGENTS.md, etc. Writing plan to a file is CRITICAL so that the plan can be iterated multiple rounds and task 2 can pick it up.

Task prompt 2 (CodexPotter):

Implement according to docs/subscription_design.md
Make sure all user journeys are properly covered by e2e tests and pass.

If you even don't know what you are designing for, just discuss with codex to carry out a basic plan first, then use CodexPotter to continously polish and implement it.

Roadmap

  • Skill popup
  • Resume (history replay + continue iterating)
  • Better handling of stream disconnect / similar network issues
  • Agent-call friendly (non-interactive exec and resume)
  • Interoperability with codex CLI sessions (for follow-up prompts)
  • Better plan / user selection support
  • Better sandbox support

Development

# Formatting
cargo fmt
# Lints
cargo clippy
# Tests
cargo nextest run
# Build
cargo build

Community & License

  • This project is community-driven fork of openai/codex repository, licensed under the same Apache-2.0 License.

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Ralph loop for codex — continuously reconciles codebase toward your instructed state

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