Cache-to-Cache Communication Between LLMs: How Direct Semantic Exchange Is Redefining Agent Memory and Performance
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Originally published on tamiz.pro . Large language models (LLMs) powering modern AI agents generate enormous amounts of intermediate computation—embeddings, attention maps, token logits, and semantic summaries. Today, most agentic systems treat each model invocation as an isolated, stateless operat…
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- 2026-09-19 00:01 · DEV Community — AI
Cache-to-Cache Communication Between LLMs: How Direct Semantic Exchange Is Redefining Agent Memory and Performance