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MaxKB vs WeKnora

Open-source enterprise agent platform: RAG pipelines (upload or crawl docs), a visual workflow engine with MCP tool-use, and zero-code embedding into existing business systems. — versus — 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.

The curated verdict

Both are self-hosted enterprise RAG and agent platforms with document pipelines and chat-app integrations, popular in China.

MaxKBWeKnora
Stars23k37k
Forks3.2k5.0k
LanguagePythonGo
LicenseGPL-3.0NOASSERTION
Last activityyesterday3 days ago
Topicsagents, ragrag, agents
Curated connections75

MaxKB — the curator's take

The self-hosted answer to 'we need an internal AI assistant this quarter': upload or crawl your docs, get a RAG-grounded Q&A agent with a real workflow engine and MCP tool-use, then embed it into existing systems without code. Model-agnostic including fully private deployments. Battle-tested at 22k stars, mostly in enterprise support/knowledge-base roles. NOT a developer framework — you orchestrate in its UI, not your codebase (LangGraph territory); GPL-3.0 matters if you redistribute; and the project's center of gravity is the Chinese enterprise ecosystem — English docs and community trail the code.

WeKnora — the 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.