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workflow

workflow for providing solution from AGI as a response from reasoning

To provide a solution that processes user input through various reasoning methods, then integrates the decision-making with the Socratic reasoning process to provide a final AGI response, follow this workflow. This will involve updates to several modules and integrating logging and reasoning processes. Here’s the detailed workflow: Workflow Steps: Workflow Roadmap from UI to AGI Solution: By following this workflow, the system ensures that user input is processed through multiple reasoning methods, validated and refined […]

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fundamentalAGI

FundamentalAGI Blueprint

funAGI Objective: Develop a comprehensive Autonomous General Intelligence (AGI) system named FundamentalAGI (funAGI). This system integrates various advanced AI components to achieve autonomous general intelligence, leveraging multiple frameworks, real-time data processing, advanced reasoning, and a sophisticated memory system. Design will be modular for dynamic adaptation using modern object oriented programming technique primary in the Python language. Components of funAGI: the big picture Detailed Architecture and Implementation Plan 1. Cognitive Architecture 2. Multi-Modal and Multi-Model Integration […]

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AGInt: the cognitive engine at the heart of mindX — Perception, Orientation, Decision, Action, with RAGE for memory

AGInt: the cognitive engine at the heart of mindX — Perception, Orientation, Decision, Action, with RAGE for memory

Why /core matters, how the P-O-D-A loop connects beliefs to behavior, and the four-tier RAGE memory cascade (STM → LTM → pgvector → IPFS) that keeps the deliberation layer grounded.

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