Building Next-Gen Agentic AI: A Complete Framework for Cognitive Blueprint Driven Runtime Agents with Memory Tools and Validation

Ali Nemati2 days ago34 sec read11 views

The system architecture includes a cognitive blueprint defining agent roles and constraints, a tool registry for utility functions, and an LLM client for language model interactions. Memory management tracks conversation history and compresses it when necessary. A planner translates user tasks into structured execution plans with reasoning steps and tool selections, while an executor runs these plans by invoking tools or conducting reasoning. The system ensures adherence to constraints through validation rules and handles complex problem-solving by breaking tasks into smaller actions, summarizing memory for context, and executing plans iteratively.

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