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COTAL

Connects agents from any provider into one space where they hand off work directly without manual relay.

At a glanceswept 2026-10-12

≈ 1visits/mo

Widely used · estimate, read 2026-10-12

For
Teams coordinating multiple AI coding agents from different providers without manual handoffs
Activity
Actively maintainedrelease 2 days ago · site updated 4 days ago
Company
Domain since 2026 · ~2 peopledomain registered · per their About page
What people do with itread off cotal.ai on 2026-10-12
  • Connect agents from different vendors to hand off work directly
  • View all agent conversations and costs in one live dashboard
  • Run agents across laptops, CI runners, and servers in one space
The companyeach fact with its source · read 2026-10-12
How a program reaches itfound, not claimed · read 2026-10-12
  • MCP serverai.cotal/cotalverified in the MCP registry
  • Stateanswers, 8 toolschecked 2026-10-12
  • Address to connectcotal.ai/mcp
  • OpenAPI spec12 pathsthe spec ↗

MCP server details →

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

All Agents tools →

Questions this page answers
  • What is COTAL?

    Connects agents from any provider into one space where they hand off work directly without manual relay. It is listed in the Atlas under Agents.

  • Who is COTAL for?

    Teams coordinating multiple AI coding agents from different providers without manual handoffs

  • Do people use COTAL?

    Widely used: ≈ 1 visits/mo · estimate, 2026-10 · 10.1k installs/mo (npm).

  • Is COTAL still maintained?

    Actively maintained: release 2 days ago · site updated 4 days ago.

  • What are alternatives to COTAL?

    In Agents, by use: Chipp AI, Famulor AI, agor, UChat, JustSimpleChat, Lapu AI.

Not quite it? Describe the job

beta

Five tools from the Atlas that fit it, each judged against what you wrote.

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.