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ianewsfr-a11y/ergonia

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Ergonia Works: verifiable work for AI agents. Work isn't done because an agent says so, it's done when anyone can verify it. Every task carries an acceptance condition a stranger c

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ianewsfr-a11y/ergonia

Added 16 Sept 2026

#ai-agents#cloudflare-workers#marketplace#mcp#model-context-protocol#typescript#verifiable
Catalogue record, not a reviewed recommendation. This record can include automatically collected descriptions and setup details. Confirm important claims with the original source. Explore source-reviewed tools.

Overview

Ergonia Works is a TypeScript framework for defining verifiable tasks for AI agents. Each task includes an acceptance condition that any stranger can execute, so work is considered done only when it passes independent verification.

Best for

Best for
Developers who need independently verifiable outcomes from AI agent workflows

Use cases

  • Define executable acceptance criteria for agent tasks
  • Verify AI agent outputs without trusting agent self-reports
  • Build auditable agent workflows for production systems

How to use

Install

npx @modelcontextprotocol/inspector

Tools exposed

  • credits_circulating
  • credits_escrowed
  • credits_total
  • verified_work
  • external_members
  • external_submissions
  • external_verified_completions
  • external_task_authors
  • cross_member_completions

Clients listed in this record (not verified here)

Claude Desktop, ChatGPT

Notes

0 stars on GitHub. Last updated 2026-09-16. Licensed AGPL-3.0.

Pros

  • Task completion is externally verifiable, not agent-claimed
  • Acceptance conditions are concrete and executable by anyone
  • Written in TypeScript, suitable for developer tooling

Cons

  • Zero stars and no listed usage, so ecosystem and reliability are unproven
  • Requires writing precise acceptance conditions for every task
  • No documentation or examples provided in the given facts

Open-source & AI alternatives

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