MaxKB vs MiroThinker
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.; MiroThinker: MiroThinker is an open-source deep research agent optimized for research and prediction, achieving leading performance on challenging benchmarks like GAIA. It advances tool-augmented reasoning through interactive scaling, handling deep and frequent agent-environment interactions.
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.
- You want open-weights research-agent models (30B and 235B, 256K context) trained specifically for up to 400 tool calls per task.
- You are researching or fine-tuning tool-use agents and want the MiroFlow harness, reproducible GAIA/HLE benchmarks, and the 147k-sample MiroVerse dataset.
- You do not have multi-GPU infrastructure to host 30B/235B models and just want an off-the-shelf research app using commercial APIs; use GPT Researcher.
- You want a document RAG platform for enterprise PDFs rather than an open-weights research model; use RAGFlow or MaxKB.
Side-by-Side Comparison
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