GPTSwarm

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Category:AI Agent Development Frameworks

Overview

An open-source framework representing language agents as optimizable graphs to enhance problem-solving with Large Language Models.

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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.

Autonomy level

88%

Reasoning: 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 tas...

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Some of the use cases of GPTSwarm:

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.

Pricing model:

free

Code access:

open-source

Popularity level: 61%