GalaxyBrain

Product Introduction

1. Definition: GalaxyBrain is a local-first, computational knowledge system and information operating system that functions as a hybrid between a structured document editor and a programmable environment. Categorized as a Personal Knowledge Management (PKM) tool, it utilizes a reactive data model where pages act as functional units capable of housing variables, executable formulas, and bidirectional live references.

2. Core Value Proposition: GalaxyBrain exists to bridge the gap between static text-based notes and dynamic spreadsheets. Its primary value lies in "data sovereignty" and "computational literacy" for personal data. By storing information as structured JSON files locally on a user's machine, it provides an AI-native workspace where users can define values on one page and reference them across an entire directory. This allows for automated synchronization and complex logic without the need for cloud-based databases or proprietary account systems.

Main Features

1. Reactive Variable and Formula Engine: Every page in GalaxyBrain serves as a scoped environment for variables. Users can define parameters—such as currency values, project deadlines, or physical constants—and perform calculations using a built-in formula syntax. These variables are not confined to a single page; the engine supports cross-page referencing, meaning a change to a variable in one document triggers a reactive update across all linked documents in the workspace, similar to a global state in a software application.

2. Local-First JSON Architecture: Unlike traditional SaaS tools that store data in opaque cloud databases, GalaxyBrain saves every page as a standardized, human-readable JSON file. This technical choice ensures that the user maintains 100% ownership of their data. Because the file format is structured and open, it is natively compatible with version control systems like Git and can be indexed or manipulated by external scripts and command-line utilities without export/import hurdles.

3. AI-Native Interoperability (MCP & HTTP API): GalaxyBrain includes a built-in HTTP API and support for the Model Context Protocol (MCP). This allows users to interface their local knowledge base with advanced AI agents and Large Language Models (LLMs) such as Claude Code, Codex, or local models running via Ollama. By pointing an AI tool at the GalaxyBrain folder, the model can read, write, and reason over the structured JSON data, effectively turning the knowledge base into an external memory or "context window" for autonomous agents.

Problems Solved

1. Pain Point: Static Information Silos: Traditional document editors require manual updates when a piece of information changes across multiple pages. GalaxyBrain eliminates "stale data" by using live references, ensuring that project statuses, pricing, or metrics stay in sync automatically throughout the entire local library.

2. Target Audience: The platform is designed for power users including Software Engineers, Data Scientists, Technical Researchers, and "Second Brain" enthusiasts. It specifically appeals to privacy-conscious professionals who require the flexibility of a spreadsheet with the narrative flow of a long-form document editor.

3. Use Cases:

• Personal Finance & Portfolio Tracking: Managing assets across multiple currencies where a single exchange rate variable updates every related ledger.
• Complex Project Management: Linking technical specifications, resource costs, and timelines across dozens of interconnected documents.
• AI Knowledge Augmentation: Providing a structured, machine-readable repository of personal notes for LLMs to use as a RAG (Retrieval-Augmented Generation) source.
• Technical Documentation: Creating "living" manuals where code snippets or version numbers are managed as global variables.

Unique Advantages

1. Differentiation: While tools like Notion offer databases, they are cloud-locked and often slow. While Obsidian offers local-first Markdown, it lacks a native, cross-page computational engine. GalaxyBrain differentiates itself by treating "Information as Code," offering the speed and privacy of local files with the logical power of a relational database and a programming IDE.

2. Key Innovation: The specific innovation is the "Document-as-a-Component" model. By exposing the internal logic of a document via an API and MCP, GalaxyBrain moves beyond being a mere "viewer" of notes to being an active participant in an AI-driven workflow. It is one of the first PKM tools built specifically to be "read" and "written" by both humans and machines simultaneously.

Frequently Asked Questions (FAQ)

1. Does GalaxyBrain require an internet connection or account? No. GalaxyBrain is a local-first application. It requires no account creation, and all data is stored exclusively on your local machine. This ensures total privacy and offline functionality.

2. How does GalaxyBrain integrate with AI tools like Claude or GPT-4? GalaxyBrain provides a built-in MCP (Model Context Protocol) tool and an HTTP API. You can point AI coding agents or local models at your GalaxyBrain directory. Because the data is stored in structured JSON, these AI tools can programmatically retrieve variables, update page content, and understand the relationships between different notes.

3. Is GalaxyBrain available on mobile devices? As of version 0.9.0 beta, GalaxyBrain is available for desktop only. The focus is on providing a robust environment for heavy information processing and local file management, which is best suited for desktop operating systems.