SUMMARY AI summary by gpt-5-mini
AI Multi-Agent Shopping System is a Python (3.10+) + Streamlit app that uses Anthropic Claude Sonnet 4 to run six cooperating AI agents to find and recommend the best product deals. It’s aimed at developers, researchers, and engineers building or studying multi-agent pipelines and LLM-driven shopping assistants. Key features: - Six specialized agents (Orchestrator, Search, Price Analyst, Review Analyzer, Comparison, Recommender) in a sequential pipeline with context passing - Prompt-engineering examples and single-responsibility agent design - Real-time Streamlit UI with live status updates - Easy local run instructions and Streamlit Cloud deployment (requires Anthropic API key) - Small project layout, MIT licensed, demonstrates agent orchestration patterns.
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Owner
Data Analyst aspiring | Python Enthusiast | Building projects & learning every day | Open to Internships
Dates
| Created on GitHub | 2026-05-14 |
| Last push | 2026-05-16 |
| First seen here | 2026-05-16 |
| Last fetched | 2026-05-16 18:10 |
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