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AgentGuard Research Paper

Research paper on extending Dijkstra’s Banker’s Algorithm for deadlock prevention in multi-AI-agent systems with LLM-specific adaptations.

Overview

AgentGuard research paper presents a system that extends Dijkstra’s classical Banker’s Algorithm to address three gaps unique to LLM-based agents: silent stalls, authority deadlocks, and unknown resource demands.

Specs

AlgorithmExtended Banker’s Algorithm with O(n²m) safety check
ExtensionsProgress Monitor, Delegation Tracker, Demand Estimator
Validation285 tests including Dining Philosophers proof
Key ResultProvable deadlock freedom for LLM agent systems

Features

  • Formal deadlock prevention via Banker’s Algorithm
  • Progress Monitor for silent stall detection and recovery
  • Delegation Tracker with BFS/DFS cycle detection
  • Adaptive Demand Estimator with statistical estimation
  • Probabilistic safety check with configurable confidence
  • Production-grade C++17 with Python bindings

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