Streamlined Interagent Protocol (Slipstream): Semantic Quantization for Efficient Multi-Agent Coordination

As multi-agent LLM systems scale, coordination bandwidth becomes a primary cost driver. This paper introduces Slipstream, a protocol that performs semantic quantization: mapping free-form messages onto a shared Universal Concept Reference (UCR) and transmitting compact mnemonic anchors. Results show 82% token reduction (41.9 → 7.4 tokens average) while maintaining semantic fidelity. Reference implementation available: pip install slipcore

Keywords

Protocol Standards, Agentic AI, Token Efficiency, Multi-Agent Systems, Semantic Quantization

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