Omnex FAQs

Question 1

How does Omnex ensure data privacy and security?

Accepted Answer

Omnex prioritizes privacy by running entirely on your hardware. All embeddings, transcriptions, tagging, and vector searches happen locally on your GPU or CPU. Your data never leaves your machine, ensuring no cloud APIs are required for core operations.

Question 2

What makes Omnex different from other data recall or search solutions?

Accepted Answer

Omnex stands out by offering a fully local and private solution for all file types, including deep semantic tagging and natural language recall. Its unique agentic memory platform allows AI agents to share a unified memory layer with humans, and it supports federation across machines, all while being open source and self-hosted with a simple setup.

Question 3

What is Omnex and its core purpose?

Accepted Answer

Omnex is an open-source, self-hosted AI memory layer designed for personal and organizational data. It allows you to index every file you own – documents, images, audio, video, and code – and recall any of it using natural language queries, entirely on your own hardware without cloud dependencies.

Question 4

What types of files can Omnex index and search?

Accepted Answer

Omnex indexes a wide range of file types, including documents (PDF, Word, Excel, HTML), images (JPEG, PNG, RAW) with visual embeddings and AI captions, audio and video with transcription, and code files with semantic embeddings.

Question 5

Can AI agents integrate with Omnex as a memory source?

Accepted Answer

Yes, Omnex functions as an agentic memory platform. AI agents like Claude or GPT-4 can read from and write observations, decisions, and research into the same shared index that humans use. Multiple Omnex instances can also federate into distributed memory networks for agent swarms.

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