AgentIndex icon
AgentIndex
ragflow logo
ragflow
★ 92.7k
vs
cuba-memorys logo
cuba-memorys
★ 30

ragflow vs cuba-memorys

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.; cuba-memorys: Cuba-Memorys is a Model Context Protocol (MCP) server that gives AI coding assistants long-term persistent memory. It uses a knowledge graph, neuroscience-inspired algorithms like FSRS-6 adaptive decay, Hebbian learning, and dual-strength memory, along with anti-hallucination grounding. The latest version 2.0.0 is a complete Rust rewrite with 12 tools and sub-millisecond performance.

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 →
cuba-memorys logo
cuba-memorysRAG / Knowledge Base · ★ 30

Persistent learning from project context: store and retrieve entities, observations, and relations

Read cuba-memorys full review →
02

Side-by-Side Comparison

Field
ragflow logoragflow
cuba-memorys logocuba-memorys
Category
RAG / Knowledge Base
RAG / Knowledge Base
Stars
★ 92.7k
★ 30
License
Apache-2.0
NOASSERTION
Install Command
docker compose -f docker-compose.yml up -d
git clone https://github.com/LeandroPG19/cuba-memorys.git && cd cuba-memorys && docker compose up -d && cd rust && cargo build --release
Updated
1d ago
2d ago
Open Source
Yes
Yes
Website
↗ Visit
↗ Visit
GitHub
↗ GitHub
↗ GitHub
Tags
RAG, AI Agent, LLM
ai-memory, ai-tools, anti-hallucination
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.
cuba-memorys logocuba-memorys
01Knowledge graph with typed relations and Leiden community detection
02FSRS-6 adaptive spaced repetition and Hebbian/BCM metaplasticity
034-signal entropy-routed RRF fusion search (TF-IDF, pg_trgm, full-text, pgvector HNSW)
04Anti-hallucination verification with graduated confidence scoring
05REM Sleep autonomous consolidation and dual-strength memory model
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.
cuba-memorys logocuba-memorys
↳Persistent learning from project context: store and retrieve entities, observations, and relations
↳Error memory: record and detect repeated mistakes, preventing re-occurrence
↳Anti-hallucination grounding: verify agent claims against stored knowledge before responding
05

Best For

ragflow logoragflow
Most PopularEssentialTrending
cuba-memorys logocuba-memorys
—
FAQ

FAQ

What is the difference between ragflow and cuba-memorys?
Both ragflow and cuba-memorys are in the RAG / Knowledge Base category. ragflow has 92.7k stars, while cuba-memorys has 30 stars.
Which is better, ragflow or cuba-memorys?
The best choice depends on your use case. Choose ragflow if Building high-fidelity, production-ready AI systems with complex data., and cuba-memorys if Persistent learning from project context: store and retrieve entities, observations, and relations.
Is ragflow free or open source?
Yes, ragflow is open source on GitHub (Apache-2.0).
Is cuba-memorys free or open source?
Yes, cuba-memorys is open source on GitHub (NOASSERTION).
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