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Recent from Cognaptus

Plans Before Action: What XAgent Can Learn from Pre-Act's Cognitive Blueprint

Pre-Act improves LLM agents through structured multi-step planning. This article explores its architecture, evaluation, and how XAgent can adopt these ideas for more stable and explainable workflows.

Blog
Reflections in the Mirror Maze: Why LLM Reasoning Isn't Quite There Yet

Despite impressive benchmarks, new evidence shows large language models still struggle with reasoning in dynamic environments. This article explores what this means for agent design, prompt strategy, and frameworks like XAgent.

Blog
From Cog to Colony: Why the AI Taxonomy Matters

Explores the conceptual taxonomy between AI Agents and Agentic AI, its significance for system design, implementation challenges, and structural choices in XAgent.

Blog

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