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Getting Up to Speed on Multi-Agent Systems, Part 1: The Landscape

christophermeiklejohn.com · 2,381 words · saved by 1 readers

I’ve been reading multi-agent systems papers for weeks trying to figure out where the field actually is, and the honest answer is that it moves fast enough that any single paper is a snapshot, not ...

I’ve been reading multi-agent systems papers for weeks trying to figure out where the field actually is, and the honest answer is that it moves fast enough that any single paper is a snapshot, not a map. So this is the map I wish I’d had when I started. It’s a short series of posts meant to get someone up to speed on multi-agent LLM systems without having to read thirty papers first. Who this is for: you already ship or evaluate LLM agents (tools, long context, basic eval loops) and want the research landscape in view. This is not an on-ramp to transformers or prompting fundamentals. Before I

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