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IDKMesh: Open-Source Project Aims to Make AI Agents Prove Their Work

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IDKMesh is an open-source research project designed to separate the process of AI agents completing tasks from the process of verifying whether those tasks were actually done correctly. The project introduces structured "Work Units" that define task boundaries, allowing multiple replaceable workers to submit candidate results rather than having a single agent declare its own success. Independent verifiers assess the output and produce their own evidence-backed conclusions, keeping final decision-making authority separate from both the worker and the verifier. A key concern driving the project is that scaling up AI agents without improving verification can increase false confidence rather than actual accuracy, especially when multiple agents share similar blind spots. The repository is currently a research and engineering foundation rather than a production-ready platform, with the full Verified Swarm Runner still under development.

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