ianewsfr-a11y/ergonia

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

Tested with

Claude Desktop, ChatGPT

Notes

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.

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

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

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

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.