"author:sandeep-alluru" matching MCP servers:

Rule-based arbitration for conflicting AI tool suggestions — resolves disagreements between tools using a structured rule graph.

Contradiction detector and belief repairer for multi-source facts — ensures knowledge-base consistency across agent sessions.

Runaway loop detector for AI token economies — monitors token usage and cost ratios to catch runaway agent loops early.

Pre-commit norm gate for AI-generated PRs — enforces coding and contribution norms, blocking violations before they land.

Ground-truth receipt system for hallucination detection — captures verified state snapshots before and after agent actions.

CRDT-based shared world state for parallel agent sessions — conflict-free merging of facts across concurrent AI agents.

Architectural decision tracker with staleness detection — records decisions and alerts when code changes invalidate them.

Visual memory for computer-use agents — stores UI screenshots as semantic scene nodes and queries them by intent across sessions.

UI interaction verifier for computer-use agents — tracks which UI elements exist and their expected behavior to catch ghost actions.

Agent trace diff and prompt regression detection — compares two agent runs to find exactly where reasoning diverged.

Agent trajectory scorer for human-likeness — flags bot-like patterns in automated workflows before they reach production.

Signed AI content provenance with PII scrubbing — timestamps and signs AI-generated outputs for EU AI Act and FTC compliance.