Tag: graph-of-thoughts

• Chain, Tree, and Graph of Thoughts: How Structured Reasoning Maps onto Agent Frameworks

  Chain-of-Thought, Tree-of-Thoughts, and Graph-of-Thoughts are three structure-enhanced reasoning paradigms. This article compares their design, performance, and cost using only within-paper benchmark numbers, then maps each onto LangGraph, AutoGen, and Anthropic's workflow patterns. The honest takeaway: structured reasoning pays off only when a task decomposes cleanly, has a cheap verifier, and runs on a model that is not already a strong reasoner — otherwise a simple workflow usually wins.

• Graph-of-Agentic-Thought: Design Principles for Skill-Based Agent Systems

  Graph-of-Agentic-Thought (GOAT) architectures govern not just reasoning steps but the scheduling, verification, and composition of skills. This article distills ten design principles — typed skill registries, wave-parallel execution with cost budgeting, critic nodes, hierarchical memory, deterministic termination contracts, and a perceive-evaluate-adjust loop — plus three unresolved tradeoffs, and argues the key principle: design for observability before expanding your skill library.