A
license-
qualityB
maintenanceRule-based arbitration for conflicting AI tool suggestions — resolves disagreements between tools using a structured rule graph.
MIT
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"author:sandeep-alluru" matching MCP servers:
- Alicense-qualityBmaintenanceContradiction detector and belief repairer for multi-source facts — ensures knowledge-base consistency across agent sessions.MIT
- Alicense-qualityBmaintenanceGround-truth receipt system for hallucination detection — captures verified state snapshots before and after agent actions.MIT
- Alicense-qualityBmaintenanceCRDT-based shared world state for parallel agent sessions — conflict-free merging of facts across concurrent AI agents.MIT
- Alicense-qualityBmaintenanceArchitectural decision tracker with staleness detection — records decisions and alerts when code changes invalidate them.MIT
- Alicense-qualityBmaintenanceUI interaction verifier for computer-use agents — tracks which UI elements exist and their expected behavior to catch ghost actions.MIT
- Alicense-qualityBmaintenanceAgent trace diff and prompt regression detection — compares two agent runs to find exactly where reasoning diverged.MIT
- Alicense-qualityBmaintenanceAgent trajectory scorer for human-likeness — flags bot-like patterns in automated workflows before they reach production.MIT
- Alicense-qualityBmaintenanceSigned AI content provenance with PII scrubbing — timestamps and signs AI-generated outputs for EU AI Act and FTC compliance.MIT