AgentIndex icon
AgentIndex
ragflow logo
ragflow
★ 92.7k
vs
nexo logo
nexo
★ 27

ragflow vs nexo

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.; nexo: NEXO Brain is a local cognitive runtime that provides persistent memory, durable workflow execution, and a shared brain across multiple AI coding agents. It implements cognitive science concepts like forgetting curves, semantic search, and overnight learning to turn stateless assistants into cognitive partners. With 150+ MCP tools and support for Claude Code, Codex, Claude Desktop, and others, it enhances AI agents with long-term memory and adaptive behavior.

01

TL;DR

ragflow logo
ragflowRAG / Knowledge Base · ★ 92.7k
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.
Read ragflow full review →
nexo logo
nexoRAG / Knowledge Base · ★ 27

Enhance AI coding assistants (Claude Code, Codex) with persistent memory and context continuity

Read nexo full review →
02

Side-by-Side Comparison

Field
ragflow logoragflow
nexo logonexo
Category
RAG / Knowledge Base
RAG / Knowledge Base
Stars
★ 92.7k
★ 27
License
Apache-2.0
NOASSERTION
Install Command
docker compose -f docker-compose.yml up -d
npx nexo-brain
Updated
1d ago
3mo ago
Open Source
Yes
Yes
Website
↗ Visit
↗ Visit
GitHub
↗ GitHub
↗ GitHub
Tags
RAG, AI Agent, LLM
ai-memory, atkinson-shiffrin, autonomous-agent
03

Features

ragflow logoragflow
01Deep 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.
nexo logonexo
01Persistent memory across sessions with natural decay and reinforcement
02Semantic search by meaning using vector embeddings
03Cognitive Cortex middleware for thinking before acting
04Durable workflow runtime for multi-step execution
05Overnight learning (Deep Sleep) for automatic memory consolidation
04

Use Cases

ragflow logoragflow
↳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.
nexo logonexo
↳Enhance AI coding assistants (Claude Code, Codex) with persistent memory and context continuity
↳Run automated overnight processes for memory consolidation, health checks, and self-improvement
↳Enable multi-session and cross-client collaboration with a shared cognitive runtime
05

Best For

ragflow logoragflow
Most PopularEssentialTrending
nexo logonexo
—
FAQ

FAQ

What is the difference between ragflow and nexo?
Both ragflow and nexo are in the RAG / Knowledge Base category. ragflow has 92.7k stars, while nexo has 27 stars.
Which is better, ragflow or nexo?
The best choice depends on your use case. Choose ragflow if Building high-fidelity, production-ready AI systems with complex data., and nexo if Enhance AI coding assistants (Claude Code, Codex) with persistent memory and context continuity.
Is ragflow free or open source?
Yes, ragflow is open source on GitHub (Apache-2.0).
Is nexo free or open source?
Yes, nexo is open source on GitHub (NOASSERTION).
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