Multi-agent decision lab with visible votes, uncertainty, provenance, receipts, and human execution gates
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Updated
Jun 13, 2026 - TypeScript
Multi-agent decision lab with visible votes, uncertainty, provenance, receipts, and human execution gates
Train AI agents on tools, validate real work, and publish portable mastery evidence
Static, offline supply-chain airlock for repositories, packages, agent bundles, and CI workflows.
Local-first evidence hashing and portable build receipts for public work
Evidence-backed claim production with credentialed workers and independent verification factories.
Compile quorum-approved, safety-reviewed agent proposals into bounded engineering work packets
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