[NAACL 2025] KnowAgent: Knowledge-Augmented Planning for LLM-Based Agents

Planning Project Implementation for the Udacity Artificial Intelligence Nanodegree Program

LangGraph is a powerful framework built on LangChain that enables the creation of stateful, multi-step, and agentic workflows using directed graphs. It simplifies complex LLM orchestration by allowing conditional branching, memory, and tool integrations in a visual and modular way.

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Source-available governed AI cognition architecture for bounded episodic execution, reality-corrected world modeling, evidence-gated skill synthesis, transfer challenge, replay validation, and human review. No AGI claims.

A hands-on implementation of Deep Agents and Sub-Agents using LangGraph, featuring autonomous planning, tool calling, web research, task delegation, and multi-agent orchestration workflows.

Implementation of a planning agent using LangGraph's state machines. The agent dynamically creates task lists and executes them sequentially, demonstrating a robust pattern for AI task decomposition.