Thoughts diverging, but chats just stacking up linearly? Megi Tree refactors linear chat logs into a Tree Structure. Drag and drop to organize scattered AI chats into your knowledge tree.
Designed for power AI users to solve the pain points of messy, hard-to-manage long-context sessions.
Automatically captures your prompts to generate a clear directory tree. Say goodbye to the chaos of linear lists.
Perfectly supports major AI platforms like ChatGPT, Doubao, Gemini, Qwen and DeepSeek. One extension for all.
Core Feature: Drag a "follow-up" directly under another question as a child node. Build your knowledge tree manually.
Click on a sidebar question to instantly scroll the dialog to that position. No more scrolling up and down endlessly.
Automatically collapses lengthy inputs when pasting large blocks of code or long documents. Preserves context while keeping the interface clean and tidy.
While waiting for AI answers, "What if" cards appear in the sidebar to fill the void with interesting trivia.
Megi was created to solve my own problems with AI chats. While ensuring privacy and security, I hope it brings you a little fun.
Serverless, 100% Local Data
Supports Chrome / Edge
Continuous Updates
"What if" Trivia Cards
Make Waiting Fun
Completely Free
🖱️ Drag & Drop
Build your knowledge tree like organizing notes.
Yes! Megi is completely free to use. There are no hidden fees or subscriptions.
Megi supports current mainstream AI platforms, including ChatGPT, Gemini, DeepSeek, Doubao, Wenxin Yiyan, Tongyi Qianwen, and Tencent Yuanbao. It automatically captures questions from these platforms to generate a directory tree.
Yes, it is very secure. Megi is serverless and does not use any servers to sync your data. All tree structures, grouping adjustments, and collapse states are stored entirely in your local browser (Local Storage), ensuring data privacy.
Megi supports Drag & Drop grouping. You can drag a follow-up question directly under a main question to make it a child node. In this way, you can manually organize scattered conversations into a logical knowledge tree, just like organizing notes in Notion.