Structured Knowledge
Top open-source Structured Knowledge AI systems, agents, and MCP tools.
Discover and install verified Structured Knowledge AI systems, autonomous agent skills, and Model Context Protocol servers on AIStoreHub. Reusable, security-scanned, and ready for 1-click execution in Cursor, Claude Code, and terminal workflows.
Available AI Systems & Skills (13)
Open in Advanced FilterThe OKF toolkit for Claude Code — author, maintain, validate & visualize Open Knowledge Format bundles. Claude Code plugin + skills.sh.
Open Knowledge Format for coding agents. Author, validate, lint, search, and visualize portable Markdown knowledge bundles. One gem carries the agent skill, the CLI and Ruby library, and an interactive graph. Docker and Claude Code plugin included, 100% local.
OKF (Open Knowledge Format) — curated catalog of tools, plugins, skills, proposals, and docs for agent-friendly knowledge. YAML-driven, agent-searchable, MCP-ready.
AI-native codebase intelligence skills — generate persistent .nexus-map/ knowledge bases and instantly query file structure, dependency graphs, and change impact. Built for Copilot, Cursor, and any tool-calling LLM. 面向 AI 编程助手的代码库感知技能——生成持久化知识图谱,精准查询文件结构、依赖关系与改动影响半径。
Claude skill & plugin: turn Claude (or any LLM) into an MBB-grade management consultant. Case-interview coaching, strategy frameworks, market sizing, board-ready problem-solving. 129 reference modules. Free & open-source.
Deepseek Harness、Openclaw知识图谱记忆插件。2026年4月受邀发布在清华大学讨论会。Knowledge Graph + Memory;Knowledge Graph Context Engine for OpenClaw — extracts structured triples from conversations, compresses context 75%, enables cross-session experience reuse
The structured context layer for AI agents. Build self-learning specialised agents that are context aware.
Structural code intelligence for AI agents — semantic search, knowledge graphs, and a built-in MCP server in one Rust binary. Give Claude, Cursor, and any MCP client a deep understanding of your codebase.
The World's Most Comprehensive, Authoritative, and Structured Open Source Data Source Knowledge Base
Understand what your codebase builds, why it is structured that way, and what a change could affect. One shared Markdown ontology for humans and coding agents—visualized for people, accessible to agents through MCP, and reviewed with Git. Local-first. Open source.
The Context Layer for unstructured data: typed, versioned datasets over S3, GCS, Azure
Turn your own PDF textbooks into an AI-searchable knowledge base and structured, fully-cited notes — figures included. Local-first, token-frugal.
Harness engineering applied to knowledge production: a self-evolving multi-agent newsroom that turns your documents into a cross-linked markdown wiki. A "reground" loop pulls published pages back in before they go stale — writer ≠ reviewer, local-first, a structured alternative to RAG.
Build & Monetize for Structured Knowledge
Have you created an autonomous agent, MCP server, or Claude Code skill for Structured Knowledge? Publish it to AIStoreHub with dual-currency checkout (USD $ + INR ₹) and earn 85–90% net revenue.

