Ontology RL Commerce Agent

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The Ontology RL Commerce Agent is a sophisticated system that leverages reinforcement learning (RL) to create a dynamic and intelligent e-commerce shopping assistant. Built upon the Model Context Protocol (MCP), it seamlessly integrates ontology reasoning, e-commerce business logic, and robust memory management, all presented through an interactive Gradio UI. The system includes an in-tree Stable Baselines3 PPO training pipeline, enabling the agent to continually learn from real user interactions and tool logs, thus discovering safer and more efficient tool-chaining policies for an end-to-end shopping experience.

Características Principales

• 2 GitHub stars
• ReAct Agent Architecture (LangChain-based)
• Gradio UI for Agent Interaction and Training Dashboard
• Reinforcement Learning with Stable Baselines3 PPO
• Comprehensive E-commerce Toolset (21 tools)
• Conversation Memory and State Tracking (ChromaDB)

Casos de Uso

• Building and deploying AI-driven e-commerce shopping assistants
• Reproducing and optimizing end-to-end shopping experiences
• Training intelligent agents for complex customer service and sales interactions