Wenlan

Wenlan - A living wiki AI keeps current without overwriting your edits

FREE
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Wenlan is a local-first AI knowledge base that turns notes and documents into a living wiki. It maintains source-backed pages and proposes reviewable revisions for pages you edit. Free and open source, with local models, cloud model options, CLI, MCP, and agent plugins.
Compatibility

Wenlan is compatible with the following platforms and devices:

  • Windows
  • MacOS
  • Linux
  • Cross Platforms
Integrations

Wenlan can be integrated with the following third-party platforms and tools:

  • Cursor
  • ChatGPT
  • Claude

* For the complete list of available integrations visit Wenlan website.
Subscription Types

Wenlan offers the following subscription types:

  • Free

Billing options include the following:

Membership packages:

There are membership packages at Wenlan.
  • API is Available.
  • Community Hub is Not Available.

Wenlan Review: An In-Depth Overview

AI Assistant AI Notes Knowledge Management Productivity

Wenlan is a local-first AI knowledge base that turns your scattered notes into a living wiki. It distills sources into maintained pages, keeps them current as new material arrives, and answers questions grounded in your own documents with cited sources. Your manual edits are never overwritten: AI changes become reviewable revisions. Run fully on-device with local models, connect a local endpoint, or use your own cloud key. Open source with CLI, MCP server, and Claude Code plugin.

Noteworthy

Features & Highlights

  • Living wiki: distill notes, documents, and saved decisions into source-backed pages; configured background processing refreshes eligible pages when sources change.
  • Review before edits: changes to pages you manually edited become proposed revisions that you can accept or reject.
  • Grounded retrieval: find prior decisions and relevant knowledge with keyword, semantic, and graph retrieval, with links to supporting sources.
  • Local-first control: keep knowledge on your machine and choose on-device models, a local model endpoint, or your own cloud API key for optional AI processing.
  • Open-source workflow: desktop app, CLI, MCP server, and agent plugins let supported AI clients save and retrieve shared knowledge after setup.
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