Kimi Agent Swarm: Turning 300 Parallel Agents Into One Knowledge Graph
Roger_M_Taylor · x · 2026-08-13
The article explores deep research using Kimi Agent Swarm. The author notes that simply running hundreds of agents in parallel produces a pile of isolated answers; the real value lies in how they link together.
Kimi's approach turns every asset and wallet an agent touches into a node, automatically building a context graph. For instance, if two agents hit the same counterparty, the system draws an edge between them. This graph engineering helps uncover hidden risks, such as seemingly unrelated positions clustering around the same market maker, or revealing a single bridge acting as a hub for half of a portfolio—exposing a critical single point of failure.
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