Operational doctrine for practical AI systems design.
Production-ready RAG framework for Python — multi-tenant chatbots with streaming, tool calling, agent mode (LangGraph), vector search (FAISS), and persistent MongoDB memory. Built on LangChain.
Lightweight, thread-safe memory kernel for autonomous agents. Strengthens knowledge through reinforcement, prunes with gentle decay, and exports transparent Markdown — pure SQLite. Foundation for persistent, self-improving reasoning.
A Rust-based, executable standards system for agentic engineering — featuring versioned standards, substandards, protobuf contracts, automated validation, and agent-native skills.
A living knowledge architecture for philosophy and world thought, tracing texts, concepts, contexts, and lineages across time and cultures.
Constitutional polis of AoA: ecosystem identity, layer map, federation rules, and program-level direction.
Building local and hybrid AI systems, agent workflows, and long-horizon knowledge architectures through AoA and Tree of Sophia.
A framework for creating portable AI systems you can load like a cartridge, from a single file.
Whitepapers and theoretical foundations on persistent knowledge systems and structural AI intelligence.
A Streamlit platform that models academic research fields as market-like systems, with academic indices, AI interpretation, counterfactual analysis, and epistemic audits. 学术股市：用市场模型观察学术场的跨学科分析平台。
This theory redefines entropy as a constructive driving force that enables self-organizing structures in physical, informational, and abstract domains. It offers a novel view of dynamic equilibrium with applications in thermodynamics, AI, and knowledge systems. 本理論はエントロピーを「構成的な駆動因」として再定義し、物理・情報・抽象系における自己組織化を導きます。熱力学・AI・知識体系への応用可能性を示します。
Official research and knowledge hub of Nabal Kishore Pande, covering Scholarship Intelligence, Decision Defence, Global Professional Mobility, research, controlled concepts, research profiles, and research identity & authority.
Quantum-enhanced framework uniting ancient wisdom with modern technology to transform AI interaction. Open-source system making complex simple through precise application of quantum principles. Free tools and frameworks.
Practical AI capabilities, reusable workflows, and AI foundations for the Workpilot ecosystem.
A constructive framework that systematically integrates causal structures across domains, enabling adaptive reasoning, predictive modeling, and cross-contextual understanding in AI and data systems. 構成的因果統合理論は、因果構造を領域横断的に統合し、AIやデータシステムにおける適応的推論・予測モデリング・文脈横断的理解を可能にする枠組みです。
Open research initiative born during the development of FamilyBrain to investigate persistent cognitive architectures for artificial intelligence.
Evidence-backed engineering for knowledge-system harnesses: score, understand, improve, and verify.
Trustworthy AI and software systems for understanding, stewardship, and human decision-making. The NemoClaw ecosystem front door.
A doctrine-driven operating system for constructing sovereign-grade digital assets with structured value, reference authority, and long-horizon strategic legitimacy.
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