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WeKnora

RAG、知识与记忆 Agent 基础设施

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该项目当前未满足“两个有效维度 + 两种数据源”的主榜门槛。

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可观测采用度缺失

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动量当前有效 · 2026-09-12

关注度当前有效 · 2026-09-12

信号可信度 依据当前有数据的独立评分维度数量计算。

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方法论 v2.0 · 快照 2026-09-12 · 超过 2 天视为过期

项目介绍

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 to external sites, 20+ LLM provider…

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