
Mem-Dog
27 linking domains
Emerging
- For
- teams wanting a self-hosted, private AI memory layer over their own app data
- Runs as
- Self-hostedAPI
- Used for
- connect Slack, Gmail and other app data into one memory
- query ingested documents and get answers with source citations
- run the memory platform locally with one Docker Compose command
- Launched on Product Hunt on Jun 11, 2026Product Hunt ↗
Figure and bar: visits/mo, estimate · year: online since
- #1

Ask Mitoto
Converts databases, documents, and spreadsheets into natural language queries and business intelligence dashboards.
51ActiveFrom $15/mo2024 - #2

Terno AI
Runs natural-language SQL queries and charts against connected databases, spreadsheets and ERP data, locally, on AWS or via a Python SDK.
1ActiveFrom $39/mo - #3

SEO SkillMCP · sign-in
Exposes your Search Console, Google Analytics and keyword data to AI agents through a hosted MCP server or a local CLI.
12 - #4

WolframMCP · open
Provides computational tools for technical computing, data analysis, and symbolic mathematics.
9.7MActiveFrom $995/yr1987 - #5

XweatherMCP · sign-in
Delivers weather forecasts, lightning strike data and road condition surveys through APIs and platforms for energy, trading, insurance and road maintenance.
2.5MActiveFrom $0.00 per use - #6

Databricks
Serverless data and AI platform for building analytics, applications, and agents on unified data.
669kActiveFree plan2013
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 300 apps into a private store and answers queries via vector, keyword, graph and hybrid search. It is listed in the Atlas under Analytics.
Who is Mem-Dog for?
teams wanting a self-hosted, private AI memory layer over their own app data
Do people use Mem-Dog?
Emerging.
What are alternatives to Mem-Dog?
In Analytics, by use: Ask Mitoto, Terno AI, SEO Skill, Wolfram, Xweather, Databricks.
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
Cookies
Before we count this visit
Analytics and ad measurement tell us which pages and which of our ads do their job: Google Analytics and Google Ads, the Meta pixel, Yandex Metrica, and one first-party id of our own. Nothing is stored until you answer, and declining changes nothing about the site.