将专用AI代理系统升级为跨领域协作智能平台
ThinkTank: A Framework for Generalizing Domain-Specific AI Agent Systems into Universal Collaborative Intelligence Platforms
- 抽象代理角色与会议模式，支持多轮协同决策
- 结合检索增强生成与知识存储，实现专业能力共建
- 本地化部署保障数据安全，适合企业级知识任务
本文提出ThinkTank框架，旨在将特定领域的AI代理系统转化为通用协作智能平台，支持跨领域复杂问题求解。该框架通过角色抽象、会议类型泛化及检索增强生成与先进知识存储的集成，系统化地推广了科学协作方法。它支持专家能力构建与稳健的知识共享，使组织可在本地部署（如使用Ollama和Llama3.1模型）开展知识密集型任务，兼顾数据隐私与安全。相比云端方案，ThinkTank在成本效益、数据安全、可扩展性及竞争力方面具有显著优势，可作为人工智能驱动的协作式问题解决通用平台。代码已开源：https://github.com/taugroup/ThinkTank
原文摘要 · Abstract (English)
This paper presents ThinkTank, a comprehensive and scalable framework designed to transform specialized AI agent systems into versatile collaborative intelligence platforms capable of supporting complex problem-solving across diverse domains. ThinkTank systematically generalizes agent roles, meeting structures, and knowledge integration mechanisms by adapting proven scientific collaboration methodologies. Through role abstraction, generalization of meeting types for iterative collaboration, and the integration of Retrieval-Augmented Generation with advanced knowledge storage, the framework facilitates expertise creation and robust knowledge sharing. ThinkTank enables organizations to leverage collaborative AI for knowledge-intensive tasks while ensuring data privacy and security through local deployment, utilizing frameworks like Ollama with models such as Llama3.1. The ThinkTank framework is designed to deliver significant advantages in cost-effectiveness, data security, scalability, and competitive positioning compared to cloud-based alternatives, establishing it as a universal platform for AI-driven collaborative problem-solving. The ThinkTank code is available at https://github.com/taugroup/ThinkTank
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