GPTSwarm
Overview
Open-source framework representing language agents as optimizable computational graphs for enhanced LLM problem-solving and swarm coordination.
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GPTSwarm is a research framework that models language-agent workflows as optimizable graphs, enabling swarm-style coordination and automated improvement of multi-agent LLM systems. Published by Meta Auto AI researchers, it provides tools to compose agents as graph nodes, optimize agent topology, and benchmark collaborative reasoning. The canonical code and paper references live on GitHub and arXiv.
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88%
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Some of the use cases of GPTSwarm:
- Experimenting with graph-based multi-agent LLM orchestration.
- Optimizing agent swarm topologies for reasoning tasks.
- Reproducing GPTSwarm research benchmarks from the published paper.
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Popularity level: 61%
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