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Updated
Dec 12, 2025
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Experimental AI cognitive architecture exploring how agents develop memory, self-reflection, and evolving internal identity over time.
Discipline-aware AI skills for research papers.
Bilingual Claude Code handbook for social scientists, with citation-audited workflows and AI disclosure templates.
An Offline-first Academic Retrieval-Augmented Generation System
AI journaling companion — context-aware reflection prompts, multi-dimensional emotion detection (joy/anxiety/gratitude), recurring theme extraction, AES-256 encrypted local storage, and weekly insight letter.
Aegis Learn: A multi‑mode intelligent AI proxy that adds privacy, structure, and academic intelligence to LLM interactions.
Mini Research Assistant is a minimal yet practical tool that helps you quickly gather, synthesize and cite information from the web and academic sources using large language models. It combines: Conversational LLM interface Real-time web search Basic retrieval-augmented generation (RAG) Clean markdown output with source references
Production-grade GenAI platform transforming transcripts into personalized course paths and scholarship matches. Built with Golang Fiber, React, and OpenAI GPT-4o-mini, featuring hybrid RAG, contextual reasoning, and dynamic PDF reporting.
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