

MiroThinker
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MiroThinker is an open-source search agent model, built for tool-augmented reasoning and real-world information seeking, aiming to match the deep research experience of OpenAI Deep Research and Gemini Deep Research.
Cost / License
- Free
- Open Source (Apache-2.0)
Application types
Platforms
- Python
- Windows
- Linux
- Mac
- Self-Hosted
Features
- Agentic AI
- AI Chatbot
- AI-Powered
MiroThinker News & Activities
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justarandom added MiroThinker as alternative to Sci-Bot
OsamaShady added MiroThinker as alternative to SimpliCEFR
POX added MiroThinker as alternative to Hermes Agent
Maoholguin added MiroThinker as alternative to Personal Computer
Panvoxx added MiroThinker as alternative to Panvoxx- justarandom added MiroThinker as alternative to oMLX
Danilo_Venom added MiroThinker as alternative to Kai 9000 and Kai AI- POX added MiroThinker as alternative to ExpressAI
justarandom added MiroThinker as alternative to Ensu
fabsg85 added MiroThinker as alternative to SharkBoard
MiroThinker information
What is MiroThinker?
MiroThinker is MiroMind's Flagship Research Agent Model. It is an open-source search model designed to advance tool-augmented reasoning and information-seeking capabilities, enabling complex real-world research workflows across diverse challenges.
The project currently comprises four key components:
- MiroThinker: An open-source search model that natively supports tool-assisted reasoning, achieving leading performance across multiple benchmarks (e.g., HLE, HLE-Text-2158, HLE-Text-500, BrowseComp, BrowseComp-ZH, GAIA, XBench-DeepSearch, FutureX, and Frames). See Quick Start.
- MiroFlow: An open-source research agent framework that offers reproducible state-of-the-art performance across multiple benchmarks. See MiroFlow for details.
- MiroVerse: A premium open-source training dataset with 147k samples supporting research agent training. See MiroVerse on HuggingFace.
- MiroTrain / MiroRL: Training infrastructure that supports stable and efficient training for research agent models. See MiroTrain and MiroRL for details.




Comments and Reviews
Good for affordable research. Could use more sophistication though.