GPTSwarm

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SKU: gptswarm
GPTSwarm is an open-source framework that models language agents as computational graphs, enabling the development, integration, and automatic optimization of various LLM-based agents. Each node within the graph represents a function to process multimodal data or query other LLMs, while edges define the information flow between operations and agents. This structure allows for the creation of composite graphs representing hierarchies of inter-agent collaboration. GPTSwarm introduces automatic graph optimizers that refine node-level LLM prompts and improve agent orchestration by modifying graph connectivity, thereby enhancing the efficiency and effectiveness of AI-driven problem-solving.
open-source framework language agents computational graphs LLM optimization agent orchestration
Developing AI agents using a graph-based framework.
Enhancing problem-solving capabilities with Large Language Models.
Automatically optimizing agent prompts and orchestration.
Implementing complex inter-agent collaboration hierarchies.
GPTSwarm demonstrates high autonomy through its self-organizing agent swarms capable of automatic graph optimization and adaptive learning without human intervention. The framework enables agents to dynamically reconfigure their graph structures through edge/node optimizers and reinforcement learning mechanisms while handling complex multi-step tasks. However, initial agent/task definitions require human input, and optimization goals remain user-defined constraints rather than fully emergent behaviors.
Open Source
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