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WeKnora 프로젝트 분석: RAG, ReAct Agent, Wiki Mode를 한 프레임워크에 담으면 어떤 구조가 되나요?

weknoratencentragreact-agentwikiknowledge-baseai-agentmcpgolangarchitecture

WeKnora는 Tencent가 공개한 Go 기반 엔터프라이즈 지식 프레임워크입니다. 문서 파싱, 벡터화, 하이브리드 검색, LLM 추론을 event-driven chat pipeline으로 묶고, 그 위에 ReAct Agent와 Wiki Mode를 올립니다. Python docreader gRPC 서비스, 20여 개 LLM provider, 7종 벡터 DB, 7개 IM 채널, multi-tenant RBAC, Langfuse observability까지 한 monorepo 안에서 swappable 구성으로 다루는 구조를 분석합니다.

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Dify 프로젝트 분석: LLM 앱 플랫폼은 어디까지 제품화되어 있나요?

difyllm-appai-agentragworkflowmcppluginflasknextjsarchitecture

Dify는 LLM 앱 개발, 워크플로 캔버스, RAG 파이프라인, 모델/도구 플러그인, MCP, 운영 관측성을 하나의 제품형 플랫폼으로 묶는 오픈소스 프로젝트입니다. Flask API, Graphon workflow runtime, Celery worker, Next.js 콘솔, plugin daemon, vector backend 구조를 중심으로 분석합니다.

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Ruflo 프로젝트 분석: Claude Code에 에이전트 운영체제를 붙이는 방법

rufloclaude-flowclaude-codeai-agentarchitecturemcpagentdbswarmtypescript

Ruflo는 Claude Code 위에 CLI, MCP 서버, swarm coordination, AgentDB 메모리, hooks, background worker, plugin marketplace, Web UI를 얹어 다중 에이전트 운영 계층을 만드는 프로젝트입니다. Claude Flow에서 Ruflo로 확장된 구조를 기존 agentmemory, Superpowers, Hermes Agent 글과 이어서 분석합니다.

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