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Basic Information

AI Agents Hub is a curated collection of agent projects and experiments that demonstrate autonomous, tool-using LLM systems. It serves as a control center for building, running, and combining agentic patterns that use tools, memory, and reasoning to solve real-world tasks. The repository collects individual projects implemented with LangChain, LangGraph, and custom integrations and presents them as examples for experimentation and extension. Included projects showcase distinct agent types such as a Travel Planner that uses real-time tools, a Spiritual Assistant that offers empathetic guidance and media suggestions, and Study Forge, a multi-agent academic assistant that converts PDFs into study materials. The repo is intended for people who want to explore multi-agent flows, tool integrations, web search usage, and practical agent behaviors in one place.

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Features
The repository highlights autonomous agents that integrate external tools and web search APIs, with explicit mention of weather lookup, translation, YouTube, and image search capabilities. It includes multi-agent orchestration patterns exemplified by Study Forge and single-agent tool chains like the Travel Planner and Spiritual Assistant. Agents emphasize memory, decision making, and the ability to defer when uncertain. Implementations reference LangChain, LangGraph, and custom integrations as the underlying frameworks. Example features include itinerary and booking-aware trip planning, empathetic content and media recommendations, and automated conversion of PDFs into summaries, notes, MCQs, explanations, videos, links, and Q&A. The project structure is organized as individual agent folders to make it easy to inspect and extend specific experiments.
Use Cases
This hub helps developers, researchers, and experimenters quickly inspect working agent patterns and reuse components to prototype new capabilities. It provides runnable examples that demonstrate combining LLM reasoning with external tools and web data, which accelerates development of assistants that perform real-world tasks like planning, research, and tutoring. For educators and students, Study Forge shows how to transform documents into study guides and interactive learning assets. For builders of conversational or domain agents, the Travel Planner and Spiritual Assistant illustrate how to integrate real-time tool outputs and media recommendations. Overall it lowers the barrier to explore multi-agent coordination, tool use, memory strategies, and practical agent behaviors in a single consolidated repository.

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