Overview
Melon is a cross-platform desktop application for working with AI on an infinite canvas. It allows users to manage multiple conversations and contexts by branching them, so that side questions and explorations do not interfere with the main thread. The app addresses the challenge of keeping context together when working with AI. As work with AI often starts with one question and then branches into research threads and notes, the useful context can become spread across different conversations and tabs. Melon aims to keep the context of the thinking together. Key features include an infinite canvas for laying out an entire problem, branching to start new conversations without destroying the original, per-branch models to use different AI models for different contexts, and connected context to keep useful parts attached to the problem. Melon is in active development, usable today but with rough edges.
Pricing
Free
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Use Cases
- Users use Melon to manage multiple AI conversations on an infinite canvas without losing context.
- Users use Melon to branch conversations for side questions and rabbit holes without polluting the main thread.
- Users use Melon to keep the useful parts of every branch attached to the problem they came from.
- Users use Melon to switch between different AI models for different branches, using frontier models for direction and cheaper models for exploration.
Features
Explores ideas on an infinite canvas
Branches ideas into separate conversations
Keeps context for each branch
Uses different models across branches
Supports AI assisted thinking workflows
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