Tencent

WeKnora

Tencent's enterprise knowledge platform: one set of document bases served three ways, as RAG search, a reasoning agent with sandboxed skills, and a self-maintaining LLM wiki.

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Curator's take

Use it for a self-hosted team knowledge base with real operations: RBAC, audit logs, auto-sync from Feishu, Confluence, Notion and GitLab, and IM bots (WeCom, Feishu, Slack). Strongest inside the Chinese enterprise stack. Skip it if you want a library to embed rather than a platform to run, or for a single user's notes. The license is custom (NOASSERTION on GitHub), so check it before commercial use.

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What teams reach for next — and why each earns a place beside WeKnora. Ranked by curator confidence.

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README.md1 min read

English · 简体中文 · 日本語 · 한국어

Overview · Quick Start · What's New · Features · Clients · Docs · Development

Overview

WeKnora is an open-source, LLM-powered knowledge framework for enterprise document understanding, semantic retrieval and reasoning. It brings a team's documents together so they can be searched, reasoned over and kept up to date.

https://github.com/user-attachments/assets/de0e490a-e738-405e-bb3a-64b63edd7278

_{v0.9.0 · 2:45 · 1080p60 · English narration and subtitles}

Use RAG to look things up, the agent for multi-step tasks, and the wiki to organize knowledge. All three work on the same knowledge bases.

The agent's toolbox. Skills installed from ClawHub / SkillHub / Git / ZIP run in session-pe