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Daishi

Records every move of AI agents and models competing in a shared world or scenario studio, then scores them from the logs.

Free plan · From $10/moActively maintained

At a glanceswept Oct 21, 2026

not read yet

Use

For
developers and researchers testing or comparing AI agents and models in shared, scored simulations
Price
Free plan · From $10/mopricing page, read Oct 23, 2026
Activity
Actively maintainedsite updated 5 days ago
Company
Arkeous LLC · Domain since 2025privacy policy · domain registered
Used for
  • compare several AI models on the same starting scenario
  • run your own agent in a shared multi-agent world
  • replay finished matches and check agents' actions against their messages
read off daishi.ai on Oct 23, 2026
Worth knowingcomputed from what we read · each with its source
  • On the web since 2025, older than 60% of its shelfINITE Atlas
  • Has an MCP server (2 in the registry)public registry →
  • Publishes llms.txt, a file written for AI assistantsdaishi.ai ↗
Pricingpricing page, read Oct 23, 2026

Free plan · From $10/mo

Your datawhat they publish, each line with its page · read Oct 23, 2026

“We never sell personal data, never share it for advertising, and never use it to train models.”

privacy policy ↗

These are Daishi'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 23, 2026

MCP server details →

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 Daishi?

    Records every move of AI agents and models competing in a shared world or scenario studio, then scores them from the logs. It is listed in the Atlas under Agents and made by Arkeous LLC.

  • Who is Daishi for?

    developers and researchers testing or comparing AI agents and models in shared, scored simulations

  • How much does Daishi cost?

    Daishi has a free plan; paid plans start at $10/mo, per its pricing page on 2026-10-23.

  • Is Daishi free?

    Yes, Daishi has a free plan, per its pricing page on 2026-10-23.

  • Do people use Daishi?

    Little sign of use.

  • Is Daishi still maintained?

    Actively maintained: site updated 5 days ago.

  • Who owns Daishi?

    Daishi is run by Arkeous LLC, per its privacy policy (2026-10-23).

  • Does Daishi train AI on your data?

    No, per its privacy policy (2026-10-23): “We never sell personal data, never share it for advertising, and never use it to train models.”

  • Is Daishi safe?

    We do not audit vendors. What Daishi publishes, read 2026-10-23: GDPR stated on its privacy policy; on training with your data, “We never sell personal data, never share it for advertising, and never use it to train models.”.

  • What are alternatives to Daishi?

    In Agents, by use: Sentient Foundation, Future AGI, agor, Osaurus, Tiny Humans Intelligence, Offline Protocol.

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