WeKnora
Open-source LLM knowledge platform: turn raw documents into a queryable RAG, an autonomous reasoning agent, and a self-maintaining Wiki.
Enterprise document understanding with RAG, a ReAct agent, and auto-generated wikis.
About WeKnora
Overview • Architecture • Key Features • Getting Started • API Reference • Developer Guide
WeKnora is an open-source, LLM-powered knowledge framework built for enterprise-grade document understanding, semantic retrieval, and autonomous reasoning.
It is organized around three core capabilities: RAG-based Quick Q&A for everyday lookups, a ReAct Agent that autonomously orchestrates retrieval, MCP tools and web search to handle complex multi-step tasks, and a brand-new Wiki Mode in which agents distill raw documents into a self-maintaining, interlinked markdown knowledge base with an interactive knowledge graph. Combined with multi-source ingestion (Feishu / Notion / Yuque / RSS, and growing), website embed widgets for publishing agents t…
WeKnora is an open-source project written primarily in Go, with 20k stars on GitHub. It was last updated in August 2026.
WeKnora vs. the alternatives
All 26 alternatives →| Record | Stars | Pricing | ||
|---|---|---|---|---|
| WeKnorathis listing | 20k | Go | — | Open source |
| firecrawl | 168k | TypeScript | AGPL-3.0 | Open source |
| Scrapling | 75k | Python | BSD-3-Clause | Open source |
| TrendRadar | 62k | Python | GPL-3.0 | Open source |
| BettaFish | 42k | Python | GPL-2.0 | Open source |
| khoj | 37k | Python | AGPL-3.0 | Open source |
