"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.

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.