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Zerm

Gives AI agents durable key-value memory, scheduled callbacks and live lookups such as DNS, URL checks and email probes through MCP.

Actively maintained

At a glanceswept Oct 24, 2026

not read yet

Use

For
Developers building AI agents that need durable memory, scheduled callbacks, and live lookups.
Activity
Actively maintainedsite updated 4 days ago
Runs as
API
Used for
  • persist key-value state between stateless agent runs
  • schedule outbound callbacks to verified origins
  • run live URL health checks and DNS queries
Worth knowingcomputed from what we read · each with its source
  • Has an MCP server (1 in the registry)public registry →
  • Publishes llms.txt, a file written for AI assistantszerm.dev ↗
How a program reaches itfound, not claimed · read Oct 26, 2026
  • MCP serverdev.zerm/zermverified in the MCP registry
  • Stateanswers, 24 toolschecked 2026-10-26
  • Address to connectzerm.dev/mcp
  • MCP docszerm.dev/.well-known/mcp.jsonthe vendor's page ↗

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 Automationby use, among tools still maintained

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

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Three tools from the Atlas for the job you describe, each with what fits and what does not.

From people who use itnot part of the reading

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Questions this page answers
  • What is Zerm?

    Gives AI agents durable key-value memory, scheduled callbacks and live lookups such as DNS, URL checks and email probes through MCP. It is listed in the Atlas under Automation.

  • Who is Zerm for?

    Developers building AI agents that need durable memory, scheduled callbacks, and live lookups.

  • Do people use Zerm?

    Little sign of use.

  • Is Zerm still maintained?

    Actively maintained: site updated 4 days ago.

  • What are alternatives to Zerm?

    In Automation, by use: Temporal, Pipedream, Activepieces, Trigger.dev, AI Agent Store by Robomotion, FlowtorAI.

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