<ul><li>Google has introduced an open-source full-stack AI agent stack combining Gemini 2.5 and LangGraph for multi-step web search, reflection, and synthesis.</li><li>The project addresses the limitations of existing large language models by enabling autonomous web searches, validation of results, and response refinement mimicking human research assistants.</li><li>The architecture includes a React frontend and a FastAPI + LangGraph backend, allowing for dynamic information synthesis and iterative search cycles.</li><li>The system emphasizes autonomous reasoning, delayed response synthesis, and source citations, making it suitable for research, knowledge bases, technical support bots, and consulting tools.</li></ul>

Google Introduces Open-Source Full-Stack AI Agent Stack Using Gemini 2.5 and LangGraph for Multi-Step Web Search, Reflection, and Synthesis

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