MiroThinker
★ 8.4k
vs
deep-research
★ 4.7k
MiroThinker vs deep-research
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.; deep-research: Deep Research is an AI-powered tool designed to generate comprehensive research reports rapidly, leveraging advanced AI models and internet connectivity. It prioritizes user privacy by processing and storing all data locally.
01
TL;DR
MiroThinkerRAG / Knowledge Base · ★ 8.4k
When to choose:
- 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.
When to skip:
- 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.
deep-researchRAG / Knowledge Base · ★ 4.7k
Rapidly generate in-depth research reports for personal and professional use.
02
Side-by-Side Comparison
Field
MiroThinkerdeep-researchCategory
RAG / Knowledge Base
RAG / Knowledge Base
Stars
★ 8.4k
★ 4.7k
License
MIT
MIT
Install Command
git clone https://github.com/MiroMindAI/MiroThinker
docker run -d --name deep-research -p 3333:3000 xiangfa/deep-research
Updated
3mo ago
4mo ago
Open Source
Yes
Yes
Tags
Deep Research Agent, LLM Agent, Tool Use
AI Research, LLM, Privacy-focused
03
Features
MiroThinker01Supports a 256K context window for long-horizon reasoning.
02Handles hundreds of tool calls per task, enabling deep multi-step analysis.
03Available in multiple parameter scales (from 8B to 235B) to suit diverse compute budgets.
04Provides a fully open-source agent framework for complete transparency.
05Integrates a comprehensive benchmark suite for extensive evaluation and performance tracking.
deep-research01Rapidly generates comprehensive research reports in minutes.
02Ensures privacy by processing and storing all data locally in the browser.
03Supports a wide range of mainstream large language models (LLMs).
04Integrates with various web search engines for enhanced information gathering.
05Allows uploading and processing local files to build a knowledge base.
04
Use Cases
MiroThinker↳Deep research and information retrieval.
↳Complex prediction tasks, including financial forecasting.
↳Tool-augmented reasoning and multi-step problem solving.
deep-research↳Rapidly generate in-depth research reports for personal and professional use.
↳Serve as a deep research as a service (SaaS) platform via SSE API.
↳Integrate deep research functionality into other AI applications using MCP.
FAQ
FAQ
What is the difference between MiroThinker and deep-research?
Both MiroThinker and deep-research are in the RAG / Knowledge Base category. MiroThinker has 8.4k stars, while deep-research has 4.7k stars.
Which is better, MiroThinker or deep-research?
The best choice depends on your use case. Choose MiroThinker if Deep research and information retrieval., and deep-research if Rapidly generate in-depth research reports for personal and professional use..
Is MiroThinker free or open source?
Yes, MiroThinker is open source on GitHub (MIT).
Is deep-research free or open source?
Yes, deep-research is open source on GitHub (MIT).
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