ragflow
★ 92.7k
vs
mimirs
★ 30
ragflow vs mimirs
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.; mimirs: Mímirs provides persistent project memory for AI coding agents, reducing token consumption and context overhead through local indexing, semantic search, cross-session memory, and dependency graphs. It works with multiple editors and is privacy-preserving with no cloud dependencies. The tool achieves 90-98% recall@10 on real codebases.
01
TL;DR
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.
mimirsRAG / Knowledge Base · ★ 30
Reduce token consumption and latency in AI coding sessions
02
Side-by-Side Comparison
Field
ragflowmimirsCategory
RAG / Knowledge Base
RAG / Knowledge Base
Stars
★ 92.7k
★ 30
License
Apache-2.0
Apache-2.0
Install Command
docker compose -f docker-compose.yml up -d
brew install sqlite && bunx mimirs init --ide claude
Updated
1d ago
4d ago
Open Source
Yes
Yes
Tags
RAG, AI Agent, LLM
ai-coding, claude-code, code-search
03
Features
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.
mimirs01Semantic Search with hybrid retrieval (vector + BM25)
02Auto-generated Wiki from indexed code and documentation
03Cross-session Memory with conversation tailing and checkpoints
04Dependency Graphs built from AST import/export analysis
05Annotations attached to files or symbols surfaced in search results
04
Use Cases
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.
mimirs↳Reduce token consumption and latency in AI coding sessions
↳Enable agents to maintain context across multiple sessions
↳Improve code search accuracy with AST-aware chunking and hybrid retrieval
05
Best For
ragflowMost PopularEssentialTrending
mimirs—
FAQ
FAQ
What is the difference between ragflow and mimirs?
Both ragflow and mimirs are in the RAG / Knowledge Base category. ragflow has 92.7k stars, while mimirs has 30 stars.
Which is better, ragflow or mimirs?
The best choice depends on your use case. Choose ragflow if Building high-fidelity, production-ready AI systems with complex data., and mimirs if Reduce token consumption and latency in AI coding sessions.
Is ragflow free or open source?
Yes, ragflow is open source on GitHub (Apache-2.0).
Is mimirs free or open source?
Yes, mimirs is open source on GitHub (Apache-2.0).
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