
Mem-Dog
Open source
not read yet
Use
- For
- developers and teams wanting private, self-hosted AI memory over their own data
- Price
- Open sourcepricing page, read Oct 31, 2026
- How it runs
- Self-hosted
- Used for
- connect Slack, Gmail and WhatsApp messages into one queryable memory
- ask questions of your own data and get cited answers
- run AI memory fully offline on your own infrastructure
- Launched on Product Hunt on Jun 11, 2026Product Hunt ↗
Open source
These are Mem-Dog's own statements, read from its pages. We did not audit them. A line that is missing was not found on the pages we read; it does not mean the practice is absent.
Figure and bar: visits/mo, estimate · year: online since
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Not it? Say what you need
betaThree tools from the Atlas for the job you describe, each with what fits and what does not.
No notes yet. What do you use Mem-Dog for?
Sign in to leave a noteWhat is Mem-Dog?
Ingests data from apps and webhooks into a self-hosted store, then answers questions over it with vector, keyword and graph search. It is listed in the Atlas under Analytics.
Who is Mem-Dog for?
developers and teams wanting private, self-hosted AI memory over their own data
How much does Mem-Dog cost?
Mem-Dog is open source, per its pricing page on 2026-10-31.
Is Mem-Dog free?
Yes: Mem-Dog is free, per its pricing page on 2026-10-31.
What are alternatives to Mem-Dog?
In Analytics, by use: Better Analyst, Basedash, Zenlytic, Sequel, MCP Analytics.
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