v1.0.0 - Initial Release 🎓

🎓 Gyoshu & Jogyo - AI-powered Research Automation

"Every great professor needs a great teaching assistant."

Gyoshu (교수, Professor) orchestrates. Jogyo (조교, Teaching Assistant) executes.

Together, they form an end-to-end research automation system for OpenCode that turns your research goals into reproducible Jupyter notebooks.

✨ Features

• 🔬 Hypothesis-Driven Research — Structure your work with [OBJECTIVE], [HYPOTHESIS], [FINDING] markers
• 🐍 Persistent Python REPL — Variables survive across sessions, just like a real Jupyter kernel
• 📓 Auto-Generated Notebooks — Every experiment is captured as a reproducible .ipynb
• 🤖 Autonomous Mode — Set a goal, walk away, come back to results
• 📝 AI-Powered Reports — Turn messy outputs into polished research narratives
• 🔄 Session Management — Continue, replay, or branch your research anytime

🚀 Quick Install

curl -fsSL https://raw.githubusercontent.com/Yeachan-Heo/My-Jogyo/main/install.sh | bash

🏃 Quick Start

opencode                              # Start OpenCode
/gyoshu                               # Meet the Professor
/gyoshu analyze customer churn        # Start research
/gyoshu-auto build ML model           # Autonomous mode

📦 What's Included

Commands

• /gyoshu - Unified research command (status, search, continue, report, etc.)
• /gyoshu-auto <goal> - Autonomous research with bounded execution

Tools

Tool	Purpose
research-manager	Manage research projects and notebooks
notebook-search	Search across notebooks
python-repl	Persistent Python execution
session-manager	Runtime session management
notebook-writer	Jupyter notebook generation
gyoshu-completion	Research completion signaling
gyoshu-snapshot	Session state snapshots
migration-tool	Legacy data migration

📋 Requirements

• OpenCode v0.1.0+
• Python 3.10+

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Made with 🎓 for researchers who'd rather think than type