All-in-One Multimodal Parsing Engine + Ontology-Powered AI-Ready Knowledge Engine Parse every modality. Compile knowledge with ontology. Reason before retrieval.

llmwiki, 兼容 Obsidian Vault 的本地知识库 + Claude Code 图形界面 + 微信 AI 助手 + Web Clipper，数据全在你自己电脑上 | Obsidian-compatible local KB × Claude Code GUI × WeChat AI Assistant × Web Clipper, all data stays on your machine

JanusLM is a Two-faced AI agent. One side reads, catalogs, connects. The other acts: writes documents, analyzes data, answers questions.

A practical playbook for building a personal knowledge system with Obsidian, Claude, Codex, and an LLMWiki-style folder structure.

Access your markdown vault via ChatGPT/Claude on Mobile. Obsidian sync compatible.

Agent-native LLM Wiki (Karpathy-style) RAG: distill raw docs → structured Markdown wiki → hybrid search via MCP

Static-site template for cross-linked markdown wikis. Themable, search + knowledge graph, deploys to GitHub Pages.

Source-backed memory for long-running AI agents: maintained synthesis, freshness review, evidence links, and MCP/API access.

Personal AI with persistent memory. Turns any LLM into an entity that remembers who you are, learns from your conversations, and grows over time. Local, private, yours.

🐧 A native GNOME knowledge workstation that turns documents into evolving AI-assisted knowledge bases.

Agent-native LLM Wiki (Karpathy-style) RAG: distill raw docs → structured Markdown wiki → hybrid search via MCP

本地优先的长篇小说 AI 创作工作台：世界设定、大纲推进、章节写作、LLMWiki 记忆库与人工审核。

📚 LLM Wiki — A structured knowledge repository designed for LLMs and AI agents, containing authoritative documentation for the @openapi® API marketplace.

Agentic knowledgbase - your personal alexandria

基于 Karpathy LLM Wiki 范式的双引擎企业知识问答系统

LLMWikiNG is a local, privacy-friendly wiki platform developed by ZeroDot1 and based on the Karpathy LLM Wiki Pattern. The wiki is maintained and expanded by AI assistants—and you can easily read, search, and manage it right in your browser.

Serve local Markdown/wiki knowledge folders as agent-readable HTTP, MCP-style, and A2A-style context.

Markdown-native, file-first knowledge base for people, applications, and agents.

GitHub Pages documentation portal for LLM Wiki-style knowledge source tools.