Building the universal memory layer
One knowledge graph. Every AI assistant.
Our Mission
AI assistants are getting smarter, but they all suffer from the same problem: amnesia. Every conversation starts from scratch. Every tool operates in isolation. Your knowledge is fragmented across dozens of platforms, and your AI assistants can't see the full picture.
ScientiaMesh solves this by creating a universal memory layer—a centralized knowledge graph that connects everything you know and makes it accessible to any AI assistant you use.
The Problem We're Solving
Today's knowledge workers face three major challenges:
- •Information Overload: We capture more information than ever, but it's scattered across notes apps, documents, emails, and browser tabs.
- •Assistant Amnesia: Every AI assistant starts fresh. They don't remember previous conversations or have access to your knowledge base.
- •Lost Connections: Important relationships between ideas, projects, and people go undiscovered because no system sees the full picture.
Our Approach
ScientiaMesh is built on three core principles:
Privacy First
Your knowledge is yours. We use end-to-end encryption and a zero-knowledge architecture to ensure your data stays private and secure.
Assistant Agnostic
We don't lock you into a single AI. Connect Claude, ChatGPT, Gemini, or any other assistant to the same knowledge graph via the Model Context Protocol (MCP).
Knowledge Graph Architecture
Instead of isolated documents, we build a living graph of entities, topics, and relationships. This lets us discover connections and provide richer context to your AI assistants.
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