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The Bigger the Graph, the Bigger the Gain
As multi-agent graphs grow, orchestration overhead becomes a bigger part of total execution time. So we benchmarked GraphWorkflow against LangGraph across 15 configurations, from small workflows to 200-node chains.
The results:
- 7.0× geometric-mean speedup
- 62.5× faster on 200-node chains
- 21.6–31.3× faster compilation
- 7.9× faster cold build → compile → execute
As your agent graph grows in complexity, GraphWorkflow saves you more of the orchestration overhead, keeping execution fast as your workflows scale.
Full Benchmark overview: https://www.swarms.ai/blog/graphworkflow-research-paper
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Cyberpunk 2077 prophesied rogue, fully autonomous AIs many years ago, and it seems like that vision is now becoming a reality.
In this scenario, the only way to combat these intelligent, malicious entities may be with an even smarter and more aligned AI.