Ross ROSS = Recommend OSS · open-source software intelligence for agents

Tencent/WeKnora

Open-source LLM knowledge platform: turn raw documents into a queryable RAG, an autonomous reasoning agent, and a self-maintaining Wiki. observed · 2026-08-28

github.com/Tencent/WeKnora · homepage · Go · NOASSERTION (other) observed · 2026-08-28

Health v2 · maintenance only

84/100

  • Activity 99
  • Release rhythm 96
  • Longevity 29

Flags: no_license

How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.

  • gap_med: 7
  • age_days: 407
  • days_rel: 26
  • days_push: 7
  • n_releases_24m: 38

Full methodology

Adoption not part of the score

20700 stars · 2968 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

WeKnora is an open-source, LLM-powered knowledge platform by Tencent that turns raw documents into a queryable RAG system, an autonomous ReAct agent, and a self-maintaining Wiki with knowledge graphs. It supports multi-source document ingestion, semantic retrieval with reranking, chunk editing with revision history, and multi-tenant deployment.

Use cases

  • build a RAG chatbot over company documents
  • turn PDFs and wikis into a searchable knowledge base
  • self-host a document Q&A assistant with Ollama or OpenAI
  • auto-generate an interlinked wiki from raw documents
  • answer complex multi-step questions with an agent that searches the web and tools
  • manage enterprise knowledge with multi-tenant access and revision history

When to choose

  • you need an enterprise-grade, self-hosted RAG platform with document ingestion pipelines
  • you want both quick Q&A and autonomous agent workflows over the same knowledge base
  • you need multi-tenancy, chunk editing, and revision history for curated knowledge
  • you prefer flexible LLM backends like Ollama or OpenAI-compatible APIs

When to avoid

  • you only need a lightweight embedding library or vector store without a full application
  • you require a fully permissive license for commercial redistribution (license is non-standard)
  • you need a simple single-user note-taking tool rather than a multi-tenant platform

Facets

application · maturity active

rag agent-framework llm-inference search-engine vector-database chatbot web-framework documentation mcp large-language-models self-hosted developer-tools self-hosted go browser-extension cross-platform knowledge-management wiki-generation semantic-search question-answering document-ingestion multi-tenant reranking embeddings ollama openai-compatible knowledge-graph react-agent retrieval-augmented-generation ai-agents natural-language-processing search knowledge-base docker web-server

1 source

Member repositories

RepositoryRoleHealth v2
Tencent/WeKnoramain84

For agents

markdown · JSON · MCP: product_card(name="Tencent/WeKnora")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem