CACA Agent

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SKU: caca-agent
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.
AI system collaborative capabilities service computing open architecture LLM integration
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.
The CACA Agent demonstrates high-level autonomy through its multi-step planning, dynamic tool integration, and real-time adaptability. Key autonomy markers include: 1) Decomposition of complex tasks into executable subgoals (Search), 2) Capacity for self-refinement based on interaction feedback (Search), and 3) Integration with external APIs/tools for environmental interaction (Search). However, it maintains structured guardrails for ethical constraints and oversight protocols (Search), preventing full Level 5 (AGI) classification. The system shows advanced decision-making capabilities but requires verification mechanisms for high-stakes actions.
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