Show HN: MESI cache coherence for multi-agent LLM context sync – 95% less tokens
Category: ai-ml
Tags: ai-agents, cache-coherence, llm-optimization, multi-agent-systems
Score: 5.5/10 (Innovation: 7, Technical: 6, Documentation: 5, Utility: 4)
This project adapts the MESI cache coherence protocol from computer architecture to synchronize context between multiple LLM agents, aiming to drastically reduce token usage and prevent stale data. It's interesting because it applies a well-established hardware concept to a novel AI coordination problem, potentially improving efficiency in complex multi-agent systems.
Target audience: ai-engineers, ml-researchers, backend-devs
Repository: https://github.com/hipvlady/agent-coherence · HTML · NOASSERTION
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