CACA Agent
Overview
An AI system enhancing agent extensibility through collaborative capabilities.
Best For Professions:
The Capability Collaboration based AI Agent (CACA Agent) is an AI system designed to enhance the extensibility and functionality of AI agents by integrating a set of collaborative capabilities. Inspired by service computing, it reduces reliance on a single large language model (LLM) and promotes an open architecture. CACA Agent introduces components such as Planning Capability, Methodology Capability, Tools Capability, Tool Broker, and Tool Service, which work together to provide AI agent functionalities. This design facilitates quick deployment of AI agents and convenient expansion of their application scenarios, allowing for dynamic tool integration and improved planning abilities. A demonstration of the system illustrates its operation and the extension of application scenarios.
Autonomy level
83%
Comparisons
Custom Comparisons
Some of the use cases of CACA Agent:
- Developing AI agents with enhanced extensibility and functionality.
- Reducing dependence on single LLMs by integrating collaborative capabilities.
- Quick deployment of AI agents across various application scenarios.
- Implementing open architecture inspired by service computing.