iai-mcp
★ 911
vs
ragflow
★ 92.7k
iai-mcp vs ragflow
iai-mcp: IAI-MCP is a local memory layer for MCP-compatible AI assistants. It captures every conversation turn verbatim, organizes them over time, and serves relevant memories at the start of new sessions. All data is encrypted locally with AES-256-GCM and never leaves your machine.; 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
iai-mcpRAG / Knowledge Base · ★ 911
Provide long-term memory for Claude Code, Codex CLI, and other MCP assistants
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.
02
Side-by-Side Comparison
Field
iai-mcpragflowCategory
RAG / Knowledge Base
RAG / Knowledge Base
Stars
★ 911
★ 92.7k
License
MIT
Apache-2.0
Install Command
git clone https://github.com/CodeAbra/iai-mcp.git && cd iai-mcp && bash scripts/install.sh
docker compose -f docker-compose.yml up -d
Updated
1d ago
1d ago
Open Source
Yes
Yes
Tags
ai-agents, ai-memory, claude
RAG, AI Agent, LLM
03
Features
iai-mcp01Ambient capture of all conversation turns with timestamps and metadata
02Automatic recall of relevant memories at session start
03Fully local, no telemetry or cloud dependency
04Encrypted at rest with AES-256-GCM
05Verbatim recall >=99% at 10k episodes
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
iai-mcp↳Provide long-term memory for Claude Code, Codex CLI, and other MCP assistants
↳Eliminate the need to repeat context across sessions
↳Personalize AI assistant behavior over time based on past interactions
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
iai-mcpTrending
ragflowMost PopularEssentialTrending
FAQ
FAQ
What is the difference between iai-mcp and ragflow?
Both iai-mcp and ragflow are in the RAG / Knowledge Base category. iai-mcp has 911 stars, while ragflow has 92.7k stars.
Which is better, iai-mcp or ragflow?
The best choice depends on your use case. Choose iai-mcp if Provide long-term memory for Claude Code, Codex CLI, and other MCP assistants, and ragflow if Building high-fidelity, production-ready AI systems with complex data..
Is iai-mcp free or open source?
Yes, iai-mcp is open source on GitHub (MIT).
Is ragflow free or open source?
Yes, ragflow is open source on GitHub (Apache-2.0).
Cloud Infrastructure
AdDeploy on DigitalOcean
Host your MCP servers, Docker containers, and AI agents with $200 free credit over 60 days.
→