← Open Source
breezewish

CodexPotter

A better /goal.

AI EngineeringGive agent toolsBuild agent workflow (SDK)JavaScript
Open on GitHub
Momentum
+0stars in 24 hours0.0%
630
Stars
55
Forks
+1
This week
1
Contributors
Created 2026-01-28 · Updated 2026-10-11 · #15812 today
Top developers

breezewish/CodexPotter is ranked 15,812 with 630 stars.

Same-category comparison

breezewish/CodexPotter is ranked 15,812 among these 8 peers; RobustNLP/CipherChat is ranked 15,810.

Same-category comparison
NameRankMetrics
MightyDillah/apple-doc-mcp15,790
Language:
TypeScript
Stars:
632
Forks:
28
Description:
MCP server providing seamless access to Apple Developer Documentation with smart search and wildcard support.
Athena-AI-Lab/athena-core15,800
Language:
TypeScript
Stars:
631
Forks:
57
Description:
A General-Purpose AI Agent ✨.
Corbell-AI/Corbell15,807
Language:
Python
Stars:
630
Forks:
65
Description:
AI-powered spec generation and review using multi-repo code graph intelligence for backend teams that ship to production.
RobustNLP/CipherChat15,810
Language:
Python
Stars:
630
Forks:
67
Description:
A framework to evaluate the generalization capability of safety alignment for LLMs.
FlagOpen/RoboOS15,825
Language:
Python
Stars:
629
Forks:
92
Description:
🤖 RoboOS: A Universal Embodied Operating System for Cross-Embodied and Multi-Robot Collaboration.
cyproxio/mcp-for-security15,828
Language:
TypeScript
Stars:
629
Forks:
103
Description:
MCP for Security: A collection of Model Context Protocol servers for popular security tools like SQLMap, FFUF, NMAP, Masscan and more. Integrate security testing and penetration testing into AI workflows.
elevenlabs/examples15,832
Language:
TypeScript
Stars:
629
Forks:
285
Osly-AI/Pocket-Flow-Framework15,840
Language:
TypeScript
Stars:
628
Forks:
51
Description:
Enable LLMs to Program Themselves.
Key parameters and specifications
Key parameters and specifications
ParameterValue
LanguageJavaScript
CategoryAI Engineering
SubcategoryGive agent tools, Build agent workflow (SDK)
KeywordsAgent-ready APIs, Automation, Coding, Memory management
Stars630
Forks55
Contributors1
Created date2026-01-28
Updated date2026-10-11
Stars in 1 day0
Stars in 7 days1
Rank15,812
Previous rank15,614
Rank change-198
7-day stars rank11,105
Previous 7-day stars rank11,172
7-day stars rank change67
Total stars rank16,156
Previous total stars rank16,136
Total stars rank change-20
README summary

md, skills & MCPs just work™ ; opt in to improve plan / review. **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): 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.   Configuration Config File Hooks   Other Features (experimental): Use gpt-5

. In clear coding tasks this may produce better results than only using gpt-5. : Toggle whether YOLO (no sandbox) is enabled by default for all sessions. or : View all projects (tasks) and their results.   Roadmap [x] Skill popup [x] Resume (history replay + continue iterating) [x] Better handling of stream disconnect / similar network issues [x] Agent-call friendly (non-interactive exec and resume) [x] Interoperability with codex CLI sessions (for follow-up prompts) [ ] Better plan / user selection support [ ] Better sandbox

support   Development   Community & License This project is community-driven fork of openai/codex repository, licensed under the same Apache-2.

Frequently asked questions

How many stars and forks are recorded?

breezewish/CodexPotter has 630 stars and 55 forks.

What is the repository rank?

breezewish/CodexPotter is ranked 15,812.

What language and category are recorded?

breezewish/CodexPotter has 630 stars, uses JavaScript and belongs to AI Engineering.

Which repository is closest in rank?

breezewish/CodexPotter is compared with RobustNLP/CipherChat, ranked 15,810 with 630 stars.

README

 

💡 Why CodexPotter

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 work™ ; 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      │
  └─────────▲─────────┘     └──────────┬────────┘       └───────────────────┘
            │                          │
            │      Work finished       │
            └──────────────────────────┘

 

✨ What's New

 

⚡️ 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:

❌ 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

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.

 

Configuration

 

Other Features

  • --xmodel (experimental): Use gpt-5.2 first, then use gpt-5.5 to cross review gpt-5.2's work in later rounds. In clear coding tasks this may produce better results than only using gpt-5.2 or gpt-5.5.

  • /yolo: Toggle whether YOLO (no sandbox) is enabled by default for all sessions.

  • /list or ctrl+l: View all projects (tasks) and their results.

 

Roadmap

  • [x] Skill popup
  • [x] Resume (history replay + continue iterating)
  • [x] Better handling of stream disconnect / similar network issues
  • [x] Agent-call friendly (non-interactive exec and resume)
  • [x] 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.
Nearby in the ranking
Similar items