agent-coherence 0.1.0

MESI-style artifact coherence for multi-agent AI systems

agent-coherence — The Coherence Protocol for AI Agents

agent-coherence implements MESI-style cache coherence for shared artifacts in multi-agent LLM systems, reducing synchronization token overhead and preventing stale-context coordination failures.

Install

pip install agent-coherence

Quick start

from ccs.simulation.engine import run_strategy_comparison
from ccs.simulation.scenarios import load_scenario

scenario = load_scenario("benchmarks/scenarios/planning_canonical.yaml")
report = run_strategy_comparison(scenario, strategies=["eager", "lazy"], runs=5, seed_start=20260305)
print(report.to_dict()["aggregated"])

Reproduce benchmark artifacts

bash reproduce.sh

See REPRODUCE.md for full output mapping and baseline verification details.

Paper

Token Coherence: MESI-Style Cache Coherence for Shared Artifacts in Multi-Agent LLM Systems

License

Apache-2.0 (LICENSE)