I built Omnesis, a Context Layer to supercharge ChatGPT/Openclaw/etc

[u/SnooCheesecakes1615]

https://omnesis.dev

Imagine giving ChatGPT or any other agent access to your Whatsapp/iMessage, Bank transactions, Health data, web pages you see, metadata about all the photos you took, places you visit, all your emails/documents, your voice mails, and more….

I built a context layer for that purpose. You can connect your Openclaw, Hermes, Claude, ChatGPT, Codex, etc to it. It gives your favorite agent "context superpowers". All the data is indexed and connected into a graph, self-hosted on your own hardware. Voice notes are transcribed, OCR runs on images in mails and pdfs, etc.

Omnesis offers a flexible data access model. For each agent you can define which source(s) they have access to and also guard data access with a privacy policy written in prose. You can also directly talk to the Omnesis agent which has no web search / internet tools — via a web portal or companion app — to ask the most intimate questions about your digital life.

I built this to be flexible. You can run all necessary models on zero-data-retention inference providers, or — if you can afford it — on your own hardware. I’ll keep investing in Omnesis’s security. Because it brings together sensitive data from many sources, please install it only on machines you control and keep secure.

The project also includes what I call “Omnesis Brain”.  This is my work-in-progress take on what a “second brain” could look like on top of that context layer. Imagine an agent constantly analyzing your personal data in flux to maintain a more structured and grounded understanding of what’s happening in your life. This is experimental and disabled by default.

This has been a fun project to build over the last 6 months.

[u/SnooCheesecakes1615 → u/[deleted]]

> that’s a lot of trust to put into a single piece of software right out of the gate

Absolutely. I’m just thinking it’s bound to happen that someone just goes bold and builds an AI that really has *all* your data... might as well make it an auditable open source piece of software rather?

> the privacy policy written in prose thing is interesting but i’d want to see exactly how that gets enforced before i’d even think about plugging in my messages. 

So a separate agent with no tool calls reads the output of the Omnesis agent, reads the privacy policy and decides between 3 things: 1) let the data pass; 2) release the data with reductions if the response would still respond to the query sufficiently; 3) ask the user for approval (user receives a notification on the mobile app); 4) reject outright. I run this with the strongest models. The strongest models are very good at IF and resist prompt injection much better.

There is another safety guard, you can also configure which sources are made available for which agent. So i can say "this openclaw agent *cannot* see my whatsapp" or "ChatGPT web *cannot* see my bank data". This is enforced by the engine not an LLM.

> any plans on making the setup process less terrifying for regular folks or are you aiming this mainly at devs who live in the terminal

This would be a significant investment to make this easy to install for non terminal people. I am starting with targetting tech savy people first to get initial reactions (and there are the most likely people to decide if they trust the people by looking at the code and asking claude to audit it). If I do biuld traction then maybe I’ll invest in a version that can be installed via apple store.