MaxKB vs m3-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.; m3-memory: M3 Memory provides persistent, local memory for MCP agents using SQLite, hybrid retrieval, and optional cross-device sync. It stores facts, decisions, and preferences across sessions, with contradiction handling and knowledge graph features. It works offline and integrates with Claude Code, Gemini CLI, and other MCP-compatible agents.
TL;DR
- 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.
- 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.
Coding agents like Claude Code or Gemini CLI need persistent memory across sessions
Side-by-Side Comparison
MaxKBm3-memoryFeatures
MaxKBm3-memoryUse Cases
MaxKBm3-memoryBest For
MaxKBm3-memoryFAQ
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