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HotKV

Caches LLM responses in a Redis-compatible store, serving repeated prompts by exact or semantic match.

From $0.07 per useActively maintained

AgentsFor developersVector databaseRAG
hotkv.com ↗FacebookXLinkedInLaunched on Product Hunt · Oct 20, 2026
Open hotkv.comAlternativesSet it up for my team
HotKV: data, price, alternatives
At a glancechecked Oct 20, 2026

not read yet

Use

For
Engineering teams whose applications make repeated LLM API calls and want to cut model spend and latency.
Price
From $0.07 per usepricing page, read Oct 28, 2026
Activity
Actively maintainedrelease 2 weeks ago · site updated 2 weeks ago
Company
HotKV Ltd · Domain since 2026 (registered this year)privacy policy · domain registered
Used for
  • serve repeated prompts from cache instead of model calls
  • match paraphrased questions to cached answers by similarity
  • track token and cost spend across LLM calls
read off hotkv.com on Oct 28, 2026
Worth knowingcomputed from what we read · each with its source
  • Publishes llms.txt, a file written for AI assistantshotkv.com ↗
  • Launched on Product Hunt on Oct 20, 2026Product Hunt ↗
Pricingpricing page, read Oct 28, 2026

From $0.07 per use

pricing page

Price Watch: every price change in the Atlas, weekly

The companyeach fact with its source · read Oct 28, 2026
  • Domain since2026domain registered
  • HeadquartersLondon, GBper their site
Your datawhat they publish, each line with its page · read Oct 28, 2026

These are HotKV'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.

How a program reaches itfound, not claimed · read Oct 28, 2026

This card as JSON, for your agent →

Each line is something a program found when it went looking: the registry entry, the server's own answer, a spec that parses. A missing line means we did not find it, not that it does not exist.

Alternatives in Agentsby use, among tools still maintained

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

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Questions this page answers
  • What is HotKV?

    Caches LLM responses in a Redis-compatible store, serving repeated prompts by exact or semantic match. It is listed in the Atlas under Agents and made by HotKV Ltd.

  • Who is HotKV for?

    Engineering teams whose applications make repeated LLM API calls and want to cut model spend and latency.

  • How much does HotKV cost?

    Paid plans start at $0.07 per use, per HotKV's pricing page on 2026-10-28.

  • Is HotKV free?

    No. Its pricing page showed no free plan on 2026-10-28.

  • Is HotKV still maintained?

    Actively maintained: release 2 weeks ago · site updated 2 weeks ago.

  • Who owns HotKV?

    HotKV is run by HotKV Ltd, per its privacy policy (2026-10-28).

  • Is HotKV safe?

    We do not audit vendors. What HotKV publishes, read 2026-10-28: GDPR stated on its privacy policy.

  • How do I cancel HotKV?

    In its own words (terms of service, 2026-10-28): “You may cancel your account at any time.”

  • Does HotKV give refunds?

    In its own words (terms of service, 2026-10-28): “All fees are non-refundable unless otherwise stated.”

  • What are alternatives to HotKV?

    In Agents, by use: Fast.io, Seclai, Whizi, JustSimpleChat, CiteHawk.

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