mcp-cursor-extension
MCPカーソル拡張は、開発者とのインタラクションを革新するために設計された高度なAIコーディングアシスタントです。動的な文脈処理と推論を通じて、開発者のニーズに適応し、知識を進化させることを目指しています。システムは、知的な文脈抽出、先進的な推論エンジン、適応学習オーケストレーターを備えています。
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🧠 Meta-Optimized Hybrid Reasoning Framework
by Ryan Oates
License: Dual — AGPLv3 + Peer Production License (PPL)
Contact: ryan_oates@my.cuesta.edu
✨ Purpose
This framework is part of an interdisciplinary vision to combine symbolic rigor, neural adaptability, and cognitive-aligned reasoning. It reflects years of integrated work at the intersection of computer science, biopsychology, and meta-epistemology.
It is not just software. It is a cognitive architecture, and its use is ethically bounded.
🔐 Licensing Model
This repository is licensed under a hybrid model to balance openness, reciprocity, and authorship protection.
1. For Commons-Aligned Users (students, researchers, cooperatives)
Use it under the Peer Production License (PPL). You can:
- Study, adapt, and share it freely
- Use it in academic or nonprofit research
- Collaborate openly within the digital commons
2. For Public Use and Transparency
The AGPLv3 license guarantees:
- Network-based deployments must share modifications
- Derivatives must remain open source
- Attribution is mandatory
3. For Commercial or Extractive Use
You must not use this work if you are a:
- For-profit AI company
- Venture-backed foundation
- Closed-source platform
...unless you negotiate a commercial license directly.
📚 Attribution
This framework originated in:
Meta-Optimization in Hybrid Theorem Proving: Cognitive-Constrained Reasoning Framework, Ryan Oates (2025)
DOI: [Insert Zenodo/ArXiv link here]
Git commit hash of original release: a17c3f9...
This project’s cognitive-theoretic roots come from studies in:
- Flow state modeling
- Symbolic logic systems
- Jungian epistemological structures
🤝 Community Contributor Agreement
If you are a student, educator, or aligned research group and want to contribute:
- Fork this repo
- Acknowledge the author and original framework
- Use the “Contributors.md” file to describe your adaptation
- Optional: Sign and return the Community Contributor Agreement (CCA) to join the federated research network
🚫 What You May Not Do
- Integrate this system into closed-source LLM deployments
- Resell it or offer derivative products without explicit approval
- Strip author tags or alter authorship metadata
📬 Contact
Want to collaborate, cite properly, or license commercially?
Reach out: ryan_oates@my.cuesta.edu
🧠 MCP Cursor Extension: Cognitive Interaction Framework
🔍 Project Overview
An advanced, adaptive AI coding assistant designed to revolutionize developer interactions through intelligent context processing and dynamic reasoning.
🌐 Core Design Principles
- Dynamic Contextual Adaptation
- Transparent Reasoning Process
- Structured Computational Flexibility
- Iterative Knowledge Refinement
🚀 Key Research Dimensions
- Cognitive Interaction Modeling
- Adaptive Learning Mechanisms
- Contextual Reasoning Frameworks
- Dynamic Knowledge Representation
🧩 System Architecture
- Intelligent Context Extraction
- Advanced Reasoning Engine
- Adaptive Learning Orchestrator
- Comprehensive Interaction Tracing
🔬 Research Objectives
- Develop nuanced computational reasoning capabilities
- Create self-evolving interaction frameworks
- Model complex interdisciplinary interaction patterns