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One Memory Layer, Thirteen Agents: How We Share Context Across a Multi-Agent Team

This story is from 2026-09-25. It is preserved in the archive; the latest stories are on the live feed.

Running one AI agent is easy. Running thirteen that actually cooperate is where memory becomes the real bottleneck. The naive approach: each agent keeps its own scratchpad. Result? They talk past each other, re-derive the same facts, and contradict each other within a single session. We flipped it.…

Read the full story at DEV Community — AI ↗

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  1. 2026-09-25 15:59 · DEV Community — AI
    One Memory Layer, Thirteen Agents: How We Share Context Across a Multi-Agent Team

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