Building the Future of AI Memory
Nexus-Catalyst is the unified AI memory platform that gives your AI tools persistent, intelligent memory across all conversations and contexts.
Our Mission
We believe AI assistants should remember who you are, what you're working on, and how you prefer to work. Every time you start a new conversation, you shouldn't have to re-explain your context, preferences, or previous discussions.
Nexus-Catalyst solves this by providing a unified memory layer that works across all your AI tools. Whether you're using Claude, ChatGPT, Cursor, or any other AI assistant, your context follows you seamlessly.
Our goal is to make AI assistants truly intelligent by giving them the one thing they've been missing: memory that persists, learns, and adapts to how you work.
Our Values
Privacy First
Your data is yours. It is encrypted in transit and at rest, you keep complete control over your memories, and we never train AI models on your private information.
Speed & Performance
Lightning-fast semantic search across everything you have stored. We optimize every query so your AI gets the context it needs while you are still asking, not after you've moved on.
Open Standards
Built on the Model Context Protocol (MCP), an open standard for AI memory and context. We believe in interoperability and avoiding vendor lock-in.
Developer Friendly
Clean APIs, comprehensive documentation, and powerful integrations. We build for developers who want to extend and customize their AI workflows.
Technology Stack
Nexus-Catalyst is built on modern, scalable technology designed for performance, reliability, and security:
MCP Protocol Integration
Native support for the Model Context Protocol, enabling seamless integration with Claude Desktop, Cursor, and any MCP-compatible AI tool. Your assistant reads and writes memory over MCP during the conversation, without a separate sync step.
Vector Search & Embeddings
Advanced semantic search powered by state-of-the-art embedding models. We use hybrid search combining vector similarity and keyword matching to deliver the most relevant memories every time.
One Memory Store, Every Tool
Memory lives server-side, not in any one client. A memory written from Claude Desktop is there for the next recall in Cursor, or on another machine, because every tool reads the same store.
Enterprise-Grade Security
Encryption in transit (TLS) and at rest, role-based access control, audit logging, and a SOC 2 compliance roadmap.
Cloud-Native Architecture
Built on AWS with auto-scaling and redundancy across availability zones, and monitored around the clock — see our status page. Our infrastructure grows with your needs, from individual developers to teams.
Our Story
Nexus-Catalyst was born from a simple frustration: every time we started a new AI conversation, we had to repeat ourselves. "I'm a software engineer," "I prefer TypeScript," "Remember that bug we discussed yesterday?"
We realized that AI tools were becoming more powerful, but they were still fundamentally limited by their inability to remember context across sessions. Each conversation was isolated, ephemeral, and disconnected.
When Anthropic announced the Model Context Protocol (MCP), we saw the opportunity to build what we'd been imagining: a universal memory layer for AI. A platform that could give any AI assistant persistent memory, without vendor lock-in or proprietary formats.
Today, Nexus-Catalyst is early and growing, helping developers, writers, researchers, and teams work with AI tools that actually remember who they are and what they're working on.
Want to Learn More?
We'd love to hear from you. Whether you have questions, feedback, or just want to chat about the future of AI memory, get in touch.