knowledge-systems

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.

Constitutional polis of AoA: ecosystem identity, layer map, federation rules, and program-level direction.

A living knowledge architecture for philosophy and world thought, tracing texts, concepts, contexts, and lineages across time and cultures.

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 framework for creating portable AI systems you can load like a cartridge, from a single file.

Building local and hybrid AI systems, agent workflows, and long-horizon knowledge architectures through AoA and Tree of Sophia.

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。

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.

Whitepapers and theoretical foundations on persistent knowledge systems and structural AI intelligence.

A Rust-based, executable standards system for agentic engineering — featuring versioned standards, substandards, protobuf contracts, automated validation, and agent-native skills.

Practical AI capabilities, reusable workflows, and AI foundations for the Workpilot ecosystem.

Evidence-backed engineering for knowledge-system harnesses: score, understand, improve, and verify.

Socio-technical architect building KOA: Konnaxion, Orgo, and a civic ecosystem that ties knowledge, coordination, and narrative together.

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.

AI product and workflow design portfolio — from complex knowledge work to usable, testable systems

Open research and coordination primitives for CDLI knowledge systems

Helping independents, makers and small teams use AI without losing their voice. Building practical tools, workflows and publishing systems.