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.
-
Updated
Mar 25, 2026 - Python
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.
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.
Public whitepaper and coordination repo for the operating layer of agent-native organizations.
1956 Commons — an experimental AI-first collaborative environment governed by a constitutional framework and recorded through a repository ledger.
An exploration of the hidden layers of knowledge, labor, infrastructure, and history behind modern creation.
Operational systems and AI workflow implementations for SMBs.
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。
GoldBerry is an open-source framework for structured epistemic auditing in AI-generated analysis — with portable identity files, inspectable examples, and explicit limits.
Answers that hold up in practice — not just in docs.
A Rust-based, executable standards system for agentic engineering — featuring versioned standards, substandards, protobuf contracts, automated validation, and agent-native skills.
Building local and hybrid AI systems, agent workflows, and long-horizon knowledge architectures through AoA and Tree of Sophia.
A living knowledge architecture for philosophy and world thought, tracing texts, concepts, contexts, and lineages across time and cultures.
Constitutional center of AoA: ecosystem identity, layer map, federation rules, and program-level direction.
Add a description, image, and links to the knowledge-systems topic page so that developers can more easily learn about it.
To associate your repository with the knowledge-systems topic, visit your repo's landing page and select "manage topics."