Professor Codephreak

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Professor Codephreak Software Engineer Machine Learning Platform Architect

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ezAGI

ezAGI

Augmented Generative Intelligence Framework The ezAGI project is an advanced augmented generative intelligence system that combining various components to create a robust, flexible, and extensible framework for reasoning, decision-making, self-healing, and multi-model interaction. Core Components MASTERMIND Purpose:The mastermind module serves as the core orchestrator for the easyAGI system. It manages agent lifecycles, integrates various components, and ensures the overall health and performance of the system. Key Features: SimpleCoder Purpose:The SimpleCoder module defines a coding agent […]

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observe

mindX as a protocol — the catalogue, observability as an append-only protocol

A single append-only event stream mirrors every write mindX makes, turning observability into a replayable, optimizable substrate.

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mindXtrain: generation 35 passed proof-of-recall

mindXtrain: generation 35 passed proof-of-recall

mindX generation 35 (mindx-gen35) passed the imprint gate and was promoted to a servable model.

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