FareedKhan-dev/all-agentic-architectures

Implements 17+ architectures using LangGraph for stateful agent orchestration, with each pattern (Reflection, ReAct, Planning, Multi-Agent, Tree of Thoughts, etc.) demonstrated end-to-end in executable Jupyter notebooks. Features integrated evaluation via LLM-as-a-Judge for quantitative performance measurement and real-world scenarios spanning financial analysis, coding, and medical triage. Designed as a structured learning path progressing from single-agent enhancements through advanced multi-agent collaboration, memory systems, and self-aware agents with built-in safety mechanisms.

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