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OAK.memory

Stores facts as embedded nodes linked by structural edges, recalled through vector search then graph traversal for AI assistants.
At a glanceswept Oct 24, 2026

≈ 1visits/mo

Established · estimate, read Oct 24, 2026

For
people using AI assistants like Claude or ChatGPT who want persistent memory across sessions
Runs as
SDK
Used for
  • store facts about a user as linked memory nodes
  • recall related memories for a query across sessions
  • merge duplicate memories while keeping their links
Worth knowingcomputed from what we read · each with its source
  • Launched on Product Hunt on Oct 24, 2026Product Hunt ↗
Your datawhat they publish, each line with its page · read Oct 24, 2026

“OpenAIKits does not sell memory content or provide it for general AI-model training.”

privacy policy ↗

These are OAK.memory'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 Developer toolsby use, among tools still maintained

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

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Questions this page answers
  • What is OAK.memory?

    Stores facts as embedded nodes linked by structural edges, recalled through vector search then graph traversal for AI assistants. It is listed in the Atlas under Developer tools.

  • Who is OAK.memory for?

    people using AI assistants like Claude or ChatGPT who want persistent memory across sessions

  • Do people use OAK.memory?

    Established: ≈ 1 visits/mo · estimate, 2026-10.

  • Does OAK.memory train AI on your data?

    No, per its privacy policy (2026-10-24): “OpenAIKits does not sell memory content or provide it for general AI-model training.”

  • Is OAK.memory safe?

    We do not audit vendors. What OAK.memory publishes, read 2026-10-24: on training with your data, “OpenAIKits does not sell memory content or provide it for general AI-model training.”.

  • What are alternatives to OAK.memory?

    In Developer tools, by use: Mem0, Agility CMS, SurrealDB, Fulcra, Claude Pilot, HelixDB.

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