Analysis updated 2026-05-18
Automate a daily workflow that fetches news, summarizes it, and emails the results on a schedule.
Build a custom AI persona with its own tone and uploaded knowledge base for a specific task.
Route different types of requests to GPT-4 or Claude depending on which model handles them better.
Manage a library of reusable prompt templates for roles like teacher, coach, or analyst.
| samihan6/chatgpt-enhanced-experience-manager | 23k65a1408/create-aeronautics-skywards | 8015238355/mm2-analytics-dashboard-2026 | |
|---|---|---|---|
| Stars | 185 | 185 | 185 |
| Setup difficulty | moderate | moderate | moderate |
| Complexity | 3/5 | 3/5 | 2/5 |
| Audience | developer | general | general |
Figures from each repo's GitHub metadata at analysis time.
Requires an OpenAI or Claude API key and Python 3.9+ or Node.js 18+.
ChatGPT Ultimate AI is a toolkit that sits between you and the ChatGPT or Claude APIs, adding a layer that can route requests, run plugins, and automate tasks. Instead of a single chat window, it gives you a control panel where you configure a profile, written as a YAML file, that sets which AI model to use as primary, which model to fall back on, which plugins are active, and what automated pipelines run on a schedule. The project includes a plugin system with categories for productivity, such as task scheduling and email drafting, analysis, such as data visualization and sentiment scanning, creative writing like story and poetry generation, technical help like code refactoring and API testing, and education tools like lesson planning and quizzes. It also ships a library of over 200 prompt templates organized by role, such as teacher, coach, analyst, or critic, along with tools to inject context from files or websites and format output as JSON, Markdown, HTML, CSV, or YAML. Other features include an interface that adapts to desktop, tablet, and mobile, support for 34 languages with automatic detection, and a customization studio where you can define an AI persona's voice and knowledge scope, upload documents as a knowledge base, and save different behavior profiles to switch between. To run it, you need Python 3.9 or newer, or Node.js 18 or newer, plus an API key from OpenAI or Claude. Setup involves cloning the repository, installing Python dependencies, copying an example environment file and adding your API keys, then running a setup script. A Docker option is also provided for containerized deployment. You would use this if you want to move beyond one-off ChatGPT conversations into repeatable, automated workflows, multiple AI personas with distinct knowledge and tone, or centralized management of prompts and plugins across projects.
A configurable toolkit that adds automation, plugins, and multi-model routing on top of the ChatGPT and Claude APIs.
MIT license: free to use, modify, and distribute, including commercially, as long as you keep the copyright notice.
Setup difficulty is rated moderate, with roughly 30min to a first successful run.
Mainly developer.
This repo across BitVibe Labs
Verify against the repo before relying on details.