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Mem-Dog
The Private AI Memory Platform
Mem-dog is a private AI memory platform that can ingest data from 300+ apps and uses ai agents for data extraction which uses smart routing integration to reduce llm token costs using open llms. It integrates with open-claw and provides different language client and mcp integration as well. This is tailored to work on any cloud (GKE), and can work on mac mini as well. Compared to other systems, it combines data ingestion, ai enrichment, smart routing and app building into one system.
We are releasing our AI learnings as our first open source project. Please give us feedback which can help us improve the next release. Our vision is to build private AI platform for edge compute devices and private cloud on GKE.
To launch in GKE or mac mini/desktop, follow the extensive github documentation. Our demo is available on request only.
We're happy to answer your questions - drop them below!
About Mem-Dog on Product Hunt
“The Private AI Memory Platform”
Mem-Dog was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #115 on the daily leaderboard. Mem-dog is a private AI memory platform that can ingest data from 300+ apps and uses ai agents for data extraction which uses smart routing integration to reduce llm token costs using open llms. It integrates with open-claw and provides different language client and mcp integration as well. This is tailored to work on any cloud (GKE), and can work on mac mini as well. Compared to other systems, it combines data ingestion, ai enrichment, smart routing and app building into one system.
On the analytics side, Mem-Dog competes within Open Source, Developer Tools, Artificial Intelligence and GitHub — topics that collectively have 1.1M followers on Product Hunt. The dashboard above tracks how Mem-Dog performed against the three products that launched closest to it on the same day.
Who hunted Mem-Dog?
Mem-Dog was hunted by Parag Agarwal. 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 Mem-Dog including community comment highlights and product details, visit the product overview.
Parag Agarwal
Hey Product Hunt,
We are releasing our AI learnings as our first open source project. Please give us feedback which can help us improve the next release. Our vision is to build private AI platform for edge compute devices and private cloud on GKE.
To launch in GKE or mac mini/desktop, follow the extensive github documentation. Our demo is available on request only.
We're happy to answer your questions - drop them below!