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LLM Agents

  • What Is an Agent, Really?
  • Introduction to LLM Agents
  • Methodologies and Core Patterns
  • Candidate Generation and Selection
  • Critique, Revision, and Acceptance
  • Planning and Execution
  • Runtime State, Progress, and Termination
  • Memory and Selective Recall
  • Trajectory Search
  • The Memory Contamination Problem
  • References and Supporting Papers
  • Advanced Agents From First Principles 06: Does One Agent Plan, Execute and Judge Its Own Work? Build a Planner-Executor-Critic Architecture
  • Intelligence Through Execution: The Executable Cognitive Kernel
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Build useful systems with modern AI.

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© 2026 Ernan Hughes
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