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Omnesis
A private knowledge layer for ChatGPT and other agents
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 visited, all your emails/documents, call logs, meeting notes, your voice mails, and more…. I built a context layer for that purpose. You can connect it to your favorite agent and give it "context superpowers". All the data is indexed and connected into a graph, self-hosted on hardware you control.
Back in March I was playing with openclaw like everyone else. It felt magical but I’ve come to realize that it can be only as good as the context you give it.
So I started giving it my gmail... then my whatsapp... then my google drive... then my bank transactions ... then suddenly I had built 30+ sources ranging from apple health and location visits pushed by the companion ios app to web pages you see pushed by the chrome extension.
I built Omnesis to offer 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.
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.
I left a long career in management at Meta because I wanted to get my hands dirty and see what a single individual could come up with with lots of claude tokens. This project is 100% AI Native (none of the code has been written by humans). This has been a lot of fun and I decided to make it available for free for anyone to try. Feedback is welcome!
About Omnesis on Product Hunt
“A private knowledge layer for ChatGPT and other agents”
Omnesis was submitted on Product Hunt and earned 2 upvotes and 1 comments, placing #153 on the daily leaderboard. 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 visited, all your emails/documents, call logs, meeting notes, your voice mails, and more…. I built a context layer for that purpose. You can connect it to your favorite agent and give it "context superpowers". All the data is indexed and connected into a graph, self-hosted on hardware you control.
On the analytics side, Omnesis competes within Productivity, Open Source, Artificial Intelligence and GitHub — topics that collectively have 1.3M followers on Product Hunt. The dashboard above tracks how Omnesis performed against the three products that launched closest to it on the same day.
Who hunted Omnesis?
Omnesis was hunted by Adrien Conrath. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of Omnesis including community comment highlights and product details, visit the product overview.
Adrien Conrath