AgentIndex icon
AgentIndex
MaxKB logo
MaxKB
★ 23.0k
vs
flywheel-memory logo
flywheel-memory
★ 0

MaxKB vs flywheel-memory

MaxKB: MaxKB is an open-source platform for building enterprise-grade AI agents with integrated RAG pipelines, workflow orchestration, and MCP tool-use capabilities. It supports direct document upload, automatic web crawling, and multiple embedding models for knowledge base construction. Widely used for intelligent customer service, internal knowledge bases, and academic research applications.; flywheel-memory: Flywheel is a local-first memory layer for AI agents that works with Obsidian and plain Markdown. It provides grounded search across your notes, safe reversible writes, and local indexes that keep your data on your machine. Built for users who want AI to interact with their notes without sending data to the cloud.

01

TL;DR

MaxKB logo
MaxKBRAG / Knowledge Base · ★ 23.0k
When to choose:
  • You want an all-in-one knowledge-base and workflow agent platform that starts with a single Docker command and embeds easily into websites.
  • You need broad support for domestic Chinese LLM providers alongside global models for internal enterprise Q&A.
When to skip:
  • You cannot use GPL-3.0 licensed software in your commercial distribution; RAGFlow is Apache-2.0.
  • Your primary bottleneck is extracting complex tables and layouts from messy scanned PDFs; RAGFlow's deep document parser goes further.
Read MaxKB full review →
flywheel-memory logo
flywheel-memoryRAG / Knowledge Base · ★ 0

Solo consultant asking 'How much have I billed Acme Corp?'

Read flywheel-memory full review →
02

Side-by-Side Comparison

Field
MaxKB logoMaxKB
flywheel-memory logoflywheel-memory
Category
RAG / Knowledge Base
RAG / Knowledge Base
Stars
★ 23.0k
★ 0
License
GPL-3.0
Apache-2.0
Install Command
docker run -d --name=maxkb --restart=always -p 8080:8080 -v ~/.maxkb:/opt/maxkb 1panel/maxkb
npx -y skills add velvetmonkey/flywheel-memory -g && cd /path/to/your/vault && bash <(curl -fsSL https://raw.githubusercontent.com/velvetmonkey/flywheel-memory/main/skills/flywheel/scripts/install.sh)
Updated
1d ago
4mo ago
Open Source
Yes
Yes
Website
↗ Visit
↗ Visit
GitHub
↗ GitHub
↗ GitHub
Tags
RAG, Agent, LLM
ai-tools, backlinks, benchmark
03

Features

MaxKB logoMaxKB
01RAG pipeline with document upload, web crawling, and automatic chunking
02Visual workflow builder for multi-step agent logic
03MCP tool-use capabilities for connecting to external services
04Supports multiple LLMs and embedding models
05Docker deployment with 1Panel integration for easy self-hosting
flywheel-memory logoflywheel-memory
01Grounded search with context
02Safe reversible writes that preserve Markdown structure
03Local-first by default with no cloud dependency
04Portable: notes stay in readable Markdown, state in local SQLite
05Optional local semantic search for related but unlinked notes
04

Use Cases

MaxKB logoMaxKB
↳Building intelligent customer service bots with enterprise knowledge bases
↳Creating internal Q&A systems over company documents and wikis
↳Deploying research assistants with RAG over academic or technical document collections
flywheel-memory logoflywheel-memory
↳Solo consultant asking 'How much have I billed Acme Corp?'
↳Rocket engineer asking 'What's blocking propulsion?'
↳PhD researcher asking 'How does AlphaFold connect to my experiment?'
05

Best For

MaxKB logoMaxKB
Most PopularEssentialTrending
flywheel-memory logoflywheel-memory
—
FAQ

FAQ

What is the difference between MaxKB and flywheel-memory?
Both MaxKB and flywheel-memory are in the RAG / Knowledge Base category. MaxKB has 23.0k stars, while flywheel-memory has 0 stars.
Which is better, MaxKB or flywheel-memory?
The best choice depends on your use case. Choose MaxKB if Building intelligent customer service bots with enterprise knowledge bases, and flywheel-memory if Solo consultant asking 'How much have I billed Acme Corp?'.
Is MaxKB free or open source?
Yes, MaxKB is open source on GitHub (GPL-3.0).
Is flywheel-memory free or open source?
Yes, flywheel-memory is open source on GitHub (Apache-2.0).
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