Summative Info Researcher Agents offers a modular framework of AI-driven agents designed to perform end-to-end research tasks. It automates web searches, scrapes content, extracts relevant data points, and synthesizes findings into clear, structured summaries. Built atop popular LLMs and extensible via plugin tools, the project allows users to define multi-step workflows, chain agents together, and adjust settings for domain-specific queries. Its flexible architecture supports integration with custom APIs, database connectors, and scheduling systems to fit academic, business, or personal research needs.

Multi-Agent LLM Recipe Prices orchestrates a suite of specialized AI agents to break down recipes into ingredients, query external price databases or APIs for real-time market rates, perform unit conversions, and sum up total costs by currency. Built in Python, it uses a recipe parsing agent to extract items, a price lookup agent to fetch current prices, and a currency conversion agent to handle international pricing. The framework logs each step, supports plugin extensions for new data providers, and outputs detailed cost breakdowns in JSON or CSV formats for further analysis.