knowledge-architecture

Agent-ready knowledge architecture, run daily in Claude Code: turn a coding agent into a system you can hand work to and trust while you're away. Roles library, typed memory, hooks, scheduled agents, delegation queue, self-audits, token budgeting, measurement-gated self-improvement. Interactive tour, fork-ready samples.

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

A mythic–technical worldbuilding Codex for symbolic architecture, AI-readable lore, provenance, and long-term knowledge continuity. 🌿

IntelliGenesis Evolution of Intelligence Across Biology, Mind, and Artificial Systems

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

A conceptual framework for epistemically stable AI architectures beyond probabilistic LLM systems. Introducing Stable Epistemic Cognitive Architecture: a layered architecture for reproducible knowledge generation, validation, consolidation, and persistent cognitive reasoning in system-critical/-relevant domains.

AITLの中核理論（推論・制御・物理的制約付きAI）をまとめたリポジトリ。 Core theoretical foundations of AITL: reasoning, control, and physics-informed AI.

Official research portfolio of Nabal Kishore Pande covering Decision Systems, Research Frameworks, Execution Intelligence, Scholarship Preparation Intelligence, Open Research, Knowledge Architecture, Evidence-Based Publishing, Books, Frameworks, and Research Infrastructure.

Your agent does not need memory. It needs a knowledge architecture.

This repository explores the transition from probabilistic AI systems toward epistemic architectures capable of generating reproducible knowledge.

Reference architecture and executable examples for formally represented, machine-interpretable, provenance-aware, verifiable, and agent-accessible knowledge.

World's most extensively documented independent research ecosystem. 511 deployments, 269 DOIs, 100+ policy proposals, DeSci infrastructure, AI governance research, and open knowledge architecture.

AI Systems Architect portfolio · Production multi-agent systems · 20yr enterprise IT background

AI-Architecture: Exploring semantic gravitation as a mechanism for pattern condensation, knowledge stabilization, and persistent cognition.

An open initiative for authoritative semantic modeling, implementation projection, persistent publication, and executable knowledge without severing semantics.

Mission Canvas — governed AI for professional judgment. Classifies before acting, strips client data before external calls, stores decisions as structured memory. 131 capability nodes, 203 knowledge entries, 129 tests passing.

AI-powered knowledge systems workspace — 5 tools for knowledge search, gap analysis, FAQ generation, RAG onboarding & prompt engineering. Built under the Synaptica Knowledge Systems brand.

An open architecture for building structured, navigable and AI-ready project knowledge systems.

A universal, topology‑based mapping architecture that generalizes linear logic into a continuous form‑space, enabling coherent modeling across analog–digital boundaries and across scales.

A personal research wiki built with Cursor Agent and Obsidian. Cursor writes and maintains interlinked markdown pages; Obsidian is where you browse, follow links, and explore the graph.