NLSOM: Natural Language-Based Societies of Mind
NLSOM (Natural Language-Based Societies of Mind) is an innovative framework inspired by Marvin Minsky's 'Society of Mind' concept, designed to enable multiple AI agents, including Large Language Models (LLMs), neural network-based experts, APIs, and role-players, to collaborate through natural language communication. This GitHub repository serves as a technical extension of the original research paper published on arXiv, offering a practical implementation for creating self-organized societies of AI agents to tackle diverse tasks.
Key Features
- Recommendation System: Automatically selects relevant AI communities and agents based on user-defined goals, ensuring optimal task alignment.
- Mindstorm Collaboration: Facilitates a collaborative process where multiple agents engage in mutual interviews to solve tasks, enhancing multimodal zero-shot reasoning.
- Modular Extensibility: Allows easy addition of new agents and communities, supporting 16 communities and 34 agents as showcased in the repository.
- Reward Mechanism: Implements a reward system to evaluate and incentivize agent contributions, paving the way for performance optimization.
- Elegant UI: Provides a user-friendly interface with support for diverse file types (image, text, audio, video) for seamless interaction.
Use Cases
- Task Automation: Automates complex tasks by leveraging diverse AI agents for comprehensive solutions, such as image colorization, captioning, and video generation.
- Research and Analysis: Supports collaborative research through API integrations (e.g., arXiv, Wikipedia) for in-depth information synthesis on topics like AGI.
- Educational Role-Play: Enables historical or fictional scenario simulations (e.g., Three Kingdoms period strategies) through role-playing agents.
- Multimodal Problem Solving: Enhances visual question answering (VQA) by combining multiple models for accurate responses.
Target Users
NLSOM is ideal for researchers, developers, and non-technical users interested in AI collaboration, task automation, and multimodal problem-solving. Its unique selling point lies in its ability to self-organize diverse AI agents into a cohesive society, surpassing the limitations of single-model approaches like VisualChatGPT or HuggingGPT.
