GPTSwarm is an open-source AI agent framework that innovatively combines swarm intelligence principles with advanced language models to enhance the collaborative capabilities of AI systems. Developed by researchers from the King Abdullah University of Science and Technology and The Swiss AI Lab IDSIA, this framework is designed to address complex tasks by allowing multiple AI agents to work together efficiently. Its unique architecture facilitates scalable, adaptive, and robust solutions that are particularly useful in dynamic environments. The core features of GPTSwarm enable it to support a variety of applications and optimize the performance of AI agents significantly. Below is a detailed overview of its features: GPTSwarm is versatile and can be applied in numerous scenarios, including: To begin using GPTSwarm, users need to create a For advanced users, GPTSwarm offers additional tools to enhance functionality. The Ongoing developments for GPTSwarm include improvements for easier model integration, such as LLaMA, and enhancements for multi-key support to boost scalability. These advancements aim to broaden the framework's capabilities and increase its versatility for various applications. In summary, GPTSwarm represents a significant advancement in AI agent frameworks, combining swarm intelligence with sophisticated language models to provide a powerful tool for tackling complex tasks across diverse domains.Features
Feature
Description
Swarm Intelligence Integration
Enables collective problem-solving and distributed decision-making, allowing agents to exhibit new capabilities through simple interactions.
Automatic Graph Optimization
Represents agents as computational graphs and optimizes them automatically for enhanced performance in assigned tasks.
Scalable Agent Architecture
Allows users to integrate various models and capabilities into the swarm, creating diverse agent societies for a wide array of tasks.
Shared Vector-Based Memory
Facilitates adaptive learning and behavior adjustment based on new information without the need for costly retraining.
Use Cases
How to get started
keys.json
file in the root folder, which should contain API keys for OpenAI and Google. Next, the swarm_config.yaml
file is used to define the swarm configuration and tasks. Users can easily run the swarm by executing the run.sh
script on Linux or Mac, or the run.bat
script on Windows.Advanced Usage
./tests/_explore_logs.ipynb
notebook aids in analyzing logs, while the ./tests/_task_to_vdb.ipynb
notebook allows for further inquiries into the shared memory.Future Developments
The pricing for GPTSwarm is structured as follows:Pricing for GPTSwarm