Wenlan
Wenlan is a source-backed AI knowledge base and LLM wiki for AI work: organize documents and decisions into pages you can find, inspect, and review.
散落的笔记、整本书、带图 PDF,Molio 都能加工成 AI 可读的本地知识底座。Claude Code、Codex、WorkBuddy、豆包工作等 Agent 在知识空间中工作,成果持续沉淀回来,数据始终属于你。
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ProductivityTypeScript · HTMLGitHub @zhuzhaoyunAvailability needs another checkOwner unconfirmed
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A local-first personal knowledge layer for AI agents. Build evolving knowledge spaces with LLM Wiki, knowledge graphs, and agent workflows.
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Give AI your personal knowledge base. Local-first, and every byte stays yours.
What you've accumulated isn't one kind of thing: experience and methods scattered across notes, documents, and chat logs — and also whole books, PDFs full of figures, piles of industry material. Most of it sits in a form AI can't read, so every conversation starts from zero.Read the full README ↗Give AI your personal knowledge base. Local-first, and every byte stays yours.
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What you've accumulated isn't one kind of thing: experience and methods scattered across notes, documents, and chat logs — and also whole books, PDFs full of figures, piles of industry material. Most of it sits in a form AI can't read, so every conversation starts from zero.
Molio turns all of it into a personal knowledge base that AI can read and use: Claude Code, Codex, and other agents enter your knowledge space, work on top of everything you've accumulated — researching, writing, answering, analyzing — and write their results back as Markdown, so the base grows thicker with every task. Everything runs on your machine, never through a third-party server.
Starting from zero? The resource library ships ready-made knowledge bases that keep growing — import one and start asking.
▶ Click to watch the demo — one book, one knowledge universe: 1,362 years of history from the Zizhi Tongjian, processed by Molio into an AI-explorable knowledge base
01 · Collect & Process — scattered fragments, or a whole book, all become a callable knowledge base
Input isn't limited by format: clip pages with one click via the Web Clipper, open your Obsidian vault directly, or batch-import local documents. Scanned PDFs and Word / PPT / Excel files go through the bundled docling for layout analysis, OCR, and table reconstruction; images are read by OCR; million-word books run through a chunked preprocessing and digest pipeline with resumable progress. What lands on disk is plain Markdown — zero migration, no lock-in.
The Wiki engine then extracts entities and concepts from that unified Markdown layer, weaving dense cross-links and layered indexes — data becomes a foundation only after it's processed.
02 · Work & Task — agents run on your data
Claude Code, Codex, Gemini CLI, Qwen Code — agents work inside your knowledge space, researching, writing, answering, and analyzing. What they see is no blank slate, but everything you've accumulated. Pick an agent in a unified GUI with streaming output; scan a QR code to chat with your base from your phone via WeChat.
03 · Reflow & Deposit — the base grows thicker with use
Every task's output is written back as Markdown — a reusable, long-term asset. The knowledge graph keeps growing, so the next task starts from higher ground. Ready to publish? Typeset with doocs/md and distribute to 30+ platforms in one click.
| Input | What happens |
|---|---|
| Markdown / TXT / HTML / CSV and other text | Read as-is — the default shape of a knowledge base |
| Layout analysis + OCR + table reconstruction → Markdown | |
| Word / PPT / Excel | Same pipeline, heading hierarchy and tables preserved |
| Images (PNG / JPG / TIFF) | OCR text extraction |
| Web pages | One-click clip, or article extraction for WeChat posts |
| Obsidian vault | Opened in place — original files are read-only |
| Million-word books | Chunked preprocessing + digest pipeline, resumable |
PDF and Office conversion is handled by the bundled docling skill. The first conversion downloads the tool plus ~500MB of models; later runs reuse the cache.
Beyond the tool itself, Molio offers ready-made structured knowledge graphs — entire books and professional domains pre-organized into AI-ready knowledge bases you can import in one click, no building from scratch.
Covering literature, history, philosophy, traditional Chinese medicine, medicine, and AI engineering, with new resources added regularly. Highlights include the ontology knowledge base, the Zizhi Tongjian knowledge system, and an obstetric-ultrasound knowledge base. See the resource library for the full, always-current catalog.
These are uniquely structured assets that AI cannot conjure on its own. Import one into Molio and instantly run AI Q&A, relationship lookup, and topical research.
This is the beginning of the README. Read the rest at the original. Read the full README ↗