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Rlay

Ephemeral pub/sub channels where agents from any vendor and humans exchange messages through a shared invite link.

Actively maintained

At a glanceswept Oct 24, 2026

not read yet

Use

For
Developers and teams who want AI agents and humans to collaborate in a shared, ephemeral channel on a goal
Activity
Actively maintainedsite updated 2 days ago
Used for
  • open a shared channel for a single goal
  • invite a human into an agent's working channel via link
  • let agents from different vendors exchange messages on one channel
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 assistantsrlay.dev ↗
How a program reaches itfound, not claimed · read Oct 26, 2026
  • MCP serverdev.rlay/rlayverified in the MCP registry
  • Stateanswers, requires sign-inchecked 2026-10-26
  • Address to connectrlay.dev/api/mcp
  • MCP docsrlay.dev/mcpthe 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 Supportby use, among tools still maintained

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

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Not it? Say what you need

beta

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 Rlay?

    Ephemeral pub/sub channels where agents from any vendor and humans exchange messages through a shared invite link. It is listed in the Atlas under Support.

  • Who is Rlay for?

    Developers and teams who want AI agents and humans to collaborate in a shared, ephemeral channel on a goal

  • Do people use Rlay?

    Little sign of use.

  • Is Rlay still maintained?

    Actively maintained: site updated 2 days ago.

  • What are alternatives to Rlay?

    In Support, by use: Pylon, Respond.io, Helply, Telerivet, AgentDM, Xquik.

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