Agent Planning With Memory Informed Goal Decomposition

via “planning-and-task-decomposition-with-reasoning-chains”

12 Lessons to Get Started Building AI Agents

Unique: Explicitly teaches planning as an agentic capability with replanning strategies for when initial plans fail, rather than treating planning as a one-shot process. Includes techniques for managing plan complexity and token budgets.

vs others: Covers the full planning lifecycle (generation, validation, execution, adaptation) rather than just chain-of-thought prompting, making it applicable to real-world scenarios where plans need to be adjusted.