# Manex

> Manex builds private AI research memory tools for Apple devices, centered on a Mac-first product called Manex Hub.

## Primary Pages

- [Home](https://manex.app/): Main landing page for Manex Hub, the private AI research memory for Mac.
- [Contact](https://manex.app/contact.html): Contact page for inquiries, feedback, and collaboration.
- [Privacy](https://manex.app/privacy.html): Privacy details for Manex and its local-first product philosophy.
- [Blog](https://manex.app/blog/): Essays on research workflows, private AI, retrieval, and Apple-native intelligence.

## Products

- [Manex Hub](https://manex.app/): Primary Mac product for capturing papers, screenshots, notes, and conversations as a private AI research memory.
- [Manex Go](https://manex.app/): iPhone companion layer for capture, recall, and continuity with Hub.
- [Manex Vision](https://manex.app/): Vision Pro spatial layer built around the same research memory.

## Key Concepts

- [Private AI research memory](https://manex.app/blog/what-is-a-private-ai-research-memory.html): Category definition and explanation of how Manex thinks about source material, interpretation, and retrieval over time.
- [Research retrieval](https://manex.app/blog/your-pdfs-are-not-a-research-system.html): Why storage alone is not enough for serious reading and research workflows.
- [Apple Silicon LLM workflows](https://manex.app/blog/running-large-language-models-on-mac-using-mlx-apple.html): Why local inference on Mac matters for private, Apple-native AI products.

## Blog Posts

- [What Is a Private AI Research Memory?](https://manex.app/blog/what-is-a-private-ai-research-memory.html): Defines the category and explains how a private AI research memory differs from storage, notes apps, and generic chatbots.
- [Your PDFs Are Not a Research System](https://manex.app/blog/your-pdfs-are-not-a-research-system.html): Explains why researchers lose retrieval even when they save everything.
- [Running Large Language Models on Mac Using MLX Apple](https://manex.app/blog/running-large-language-models-on-mac-using-mlx-apple.html): Covers MLX Apple, Apple Silicon LLM workflows, and the case for local AI on Mac.

## Audience

- [Researchers](https://manex.app/): People working across papers, screenshots, notes, and iterative inquiry.
- [Masters students](https://manex.app/): Graduate students managing reading, annotation, and retrieval over time.
- [PhD students](https://manex.app/): Doctoral researchers building long-running archives of source material and interpretation.
- [Analysts](https://manex.app/): Knowledge workers dealing with large internal or research-heavy information sets.
- [Deep readers](https://manex.app/): People who want better recall across saved material, annotations, and later questions.

## Author