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Mem-Dog

Ingests data from apps and webhooks into a self-hosted store, then answers questions over it with vector, keyword and graph search.

Open source

Mem-Dog: data, price, alternatives
At a glancechecked Oct 31, 2026

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
read off mem-dog.com on Oct 31, 2026
Worth knowingcomputed from what we read · each with its source
  • Launched on Product Hunt on Jun 11, 2026Product Hunt ↗
Pricingpricing page, read Oct 31, 2026

Open source

Your datawhat they publish, each line with its page · read Oct 31, 2026

    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.

    Alternatives in Analyticsby use, among tools still maintained

    Figure and bar: visits/mo, estimate · year: online since

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    From people who use itnot part of the reading

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    Questions this page answers
    • What 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.

    How we read a tool

    No votes, no reviews, no vendor claims. Every week a crawler reads each tool's own site and a few public registries, and the words on the card are bands over what it read.

    • Use: visits to the site (estimated), installs from npm and PyPI, presence in Chrome's usage report.
    • Activity: the newest release on GitHub, npm or PyPI; the newest dated page on the site; open roles on a public jobs board.
    • Price: the vendor's own pricing page, read with the date. A figure is printed only when it is on that page.
    • The line and the use cases are written by us from the homepage, one tool at a time, and refused when they repeat the vendor's marketing.

    How AI assistants read each site — the reading vendors ask us about — is on each tool's own visibility page.

    How we read every tool → · By INITE Atlas Desk