deer-flow
★ 84.5k
vs
ragflow
★ 93.0k
deer-flow vs ragflow
deer-flow: DeerFlow is a community-driven framework designed for deep research, integrating language models with specialized tools for tasks like web search, crawling, and Python code execution. It offers a modular multi-agent system architecture for automated research, supporting various search engines, crawling tools, and private knowledge bases.; ragflow: RAGFlow is a leading open-source Retrieval-Augmented Generation (RAG) engine that integrates RAG with Agent capabilities. It provides a superior context layer for LLMs and offers a streamlined RAG workflow adaptable to enterprises of any scale.
01
TL;DR
deer-flowMulti-Agent · ★ 84.5k
When to choose:
- You want a batteries-included LangGraph agent runtime with a file system, isolated bash/Docker sandbox, persistent memory, and sub-agent delegation.
- You want to trigger long-running tasks from Feishu, WeCom, DingTalk, WeChat, Slack, or Telegram without exposing a public IP.
When to skip:
- Your machine or VPS has only 2 vCPU / 4 GB RAM; DeerFlow recommends 8 vCPU / 16 GB RAM for shared servers.
- You only want a lightweight script that writes cited web research reports without running local sandboxes; GPT Researcher is much lighter.
ragflowRAG / Knowledge Base · ★ 93.0k
When to choose:
- Your documents have complex layouts (PDFs, scanned files, tables, slides) and you need layout analysis, OCR, and traceable citations.
- You want an Apache-2.0 all-in-one RAG platform where you can inspect and hand-tune template-based chunks in a web UI.
When to skip:
- Your server has less than 4 CPU cores and 16 GB RAM; RAGFlow's multi-service stack is heavy.
- You want an autonomous web research agent that writes 2,000-word reports from live search rather than indexing a local document corpus; GPT Researcher fits better.
02
Side-by-Side Comparison
Field
deer-flowragflowCategory
Multi-Agent
RAG / Knowledge Base
Stars
★ 84.5k
★ 93.0k
License
MIT
Apache-2.0
Install Command
uv sync
docker compose -f docker-compose.yml up -d
Updated
1d ago
1d ago
Open Source
Yes
Yes
Tags
LLM, Multi-Agent, Research Automation
RAG, AI Agent, LLM
03
Features
deer-flow01Multi-model LLM integration via LiteLLM with OpenAI-compatible API
02Comprehensive web search and crawling using diverse engines like InfoQuest and Tavily
03RAG integration with multiple vector databases including Qdrant and RAGFlow
04Human-in-the-loop collaboration with intelligent clarification and interactive plan modification
05Automated content creation for podcasts and presentations with AI-powered script generation
ragflow01Deep document understanding for knowledge extraction from unstructured data.
02Intelligent and template-based chunking with explainable options.
03Grounded citations with reduced hallucinations and traceable references.
04Compatibility with heterogeneous data sources including documents, images, and web pages.
05Automated and effortless RAG workflow orchestration with configurable models and fused re-ranking.
04
Use Cases
deer-flow↳Conducting deep research and generating comprehensive reports with multimedia content
↳Automated creation of podcasts, articles, and presentations from research findings
↳Intelligent information retrieval and analysis for complex queries and trending topics
ragflow↳Building high-fidelity, production-ready AI systems with complex data.
↳Developing enterprise-scale knowledge base and intelligent Q&A chatbots.
↳Facilitating intelligent document processing and advanced information retrieval.
05
Best For
deer-flowMost PopularEssentialTrending
ragflowMost PopularEssentialTrending
FAQ
FAQ
What is the difference between deer-flow and ragflow?
Both deer-flow and ragflow are in the Multi-Agent category. deer-flow has 84.5k stars, while ragflow has 93.0k stars.
Which is better, deer-flow or ragflow?
The best choice depends on your use case. Choose deer-flow if Conducting deep research and generating comprehensive reports with multimedia content, and ragflow if Building high-fidelity, production-ready AI systems with complex data..
Is deer-flow free or open source?
Yes, deer-flow is open source on GitHub (MIT).
Is ragflow free or open source?
Yes, ragflow is open source on GitHub (Apache-2.0).
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