1/8/2026

MiroThinker is an open-source research agent developed by the MiroMindAI team, designed to enhance AI capabilities in tool-augmented reasoning and information retrieval.

MiroThinker 1.5 - The World's Most Powerful Search Agent

MiroThinker 1.5 is an open-source research agent developed by the MiroMindAI team, designed to enhance AI capabilities in tool-augmented reasoning and information retrieval. This powerful search agent represents a significant leap forward in autonomous AI research and information synthesis.

MiroThinker 1.5 Architecture

Figure: MiroThinker 1.5 - The Next Generation Search Agent Architecture

Key Features

1. Advanced Web Search Capabilities

  • Multi-Source Information Retrieval: MiroThinker can search across multiple platforms simultaneously, aggregating information from diverse sources
  • Real-Time Data Access: Access up-to-date information from the internet, ensuring responses reflect current knowledge
  • Intelligent Query Optimization: Automatically refines search queries for optimal results

2. Tool-Augmented Reasoning

  • Dynamic Tool Selection: Intelligently chooses the most appropriate tools for each task
  • Multi-Step Problem Solving: Breaks down complex queries into manageable steps
  • Context-Aware Processing: Maintains context across multiple operations for coherent results

3. Advanced Information Synthesis

  • Cross-Reference Verification: Validates information across multiple sources
  • Comprehensive Analysis: Synthesizes data from various perspectives
  • Structured Output Generation: Presents findings in clear, organized formats

Technical Architecture

Core Components

  1. Search Engine Integration: Connects to multiple search APIs for comprehensive coverage
  2. Reasoning Engine: Advanced logic processing for complex problem-solving
  3. Information Filter: Intelligent content filtering and relevance assessment
  4. Output Formatter: Adapts responses to user needs and preferences

Performance Optimizations

  • Parallel Processing: Executes multiple searches simultaneously
  • Caching System: Stores frequently accessed data for faster retrieval
  • Adaptive Learning: Improves performance based on user interactions

Benchmark Performance

MiroThinker v1.5 has demonstrated exceptional research performance across comprehensive benchmarks, achieving industry-leading results that surpass previous open-source agents.

Benchmark Scores

| Benchmark | Score | Significance | |-----------|-------|--------------| | HLE-Text | 39.2% | High-level reasoning and text understanding | | BrowseComp | 69.8% | Industry-leading browsing comprehension | | BrowseComp-ZH | 71.5% | Top performance in Chinese language tasks | | GAIA-Val-165 | 80.8% | General AI assistant benchmark excellence |

Model Variants & Efficiency

MiroThinker offers multiple model variants optimized for different use cases:

  • MiroThinker-v1.5-30B: Delivers performance comparable to many 1T parameter models using only 1/30 of the parameter scale, demonstrating exceptional parameter efficiency
  • MiroThinker-v1.5-235B: Ranks among the world's first tier across multiple search agent benchmarks, setting new standards for open-source research agents

Competitive Advantages

  • πŸ† New Industry Record: Created a new industry-leading BrowseComp performance benchmark
  • πŸš€ Superior Efficiency: 30B model achieves competitive results with significantly fewer parameters
  • 🌟 Global Recognition: 235B variant ranks in the global first tier across multiple benchmarks
  • πŸ“ˆ Comprehensive Excellence: Strong performance across diverse evaluation criteria and languages

MiroThinker Benchmark Results

Figure: MiroThinker 1.5 Performance Benchmarks - Comparing model variants across key evaluation metrics

Use Cases

Academic Research

  • Conduct comprehensive literature reviews
  • Find relevant studies and papers across multiple databases
  • Synthesize findings from various sources

Market Analysis

  • Gather competitive intelligence
  • Track industry trends and developments
  • Analyze market data from multiple perspectives

Content Creation

  • Research topics thoroughly for articles and posts
  • Fact-check information across sources
  • Gather supporting evidence and examples

Decision Making

  • Compile comprehensive reports on complex topics
  • Present balanced perspectives on controversial issues
  • Provide evidence-based recommendations

Getting Started

Installation

# Clone the repository
git clone https://github.com/MiroMindAI/MiroThinker.git

# Install dependencies
cd MiroThinker
npm install

# Configure your API keys
cp .env.example .env
# Edit .env with your API keys

# Run MiroThinker
npm start

Basic Usage

# Example: Search and analyze
from mirothinker import MiroThinker

agent = MiroThinker()
result = agent.search_and_analyze(
    query="Latest developments in AI research",
    depth=3,  # Search depth
    sources=["academic", "news", "blogs"]
)

print(result.summary)

Comparison with Other Agents

| Feature | MiroThinker 1.5 | Traditional Search | Other AI Agents | |---------|----------------|-------------------|----------------| | Multi-Source Search | βœ“ | Limited | Varies | | Tool Augmentation | βœ“ | βœ— | Limited | | Real-Time Info | βœ“ | βœ“ | Limited | | Reasoning Capabilities | Advanced | Basic | Varies | | Open Source | βœ“ | N/A | Rare | | Customizable | βœ“ | Limited | Limited |

Future Development

The MiroMindAI team is actively working on:

  • Enhanced multi-modal capabilities (images, videos, audio)
  • Improved reasoning algorithms
  • Expanded tool integrations
  • Better user customization options
  • Performance optimizations

Community & Support

  • Office Web 🌐MiroMindAI
  • Demo Online:[DemoMiroMindAI]https://dr.miromind.ai/
  • GitHub: MiroMindAI/MiroThinker
  • Documentation: docs.mirothinker.ai
  • Discord Community: Join the discussion with other users
  • Contributing: We welcome contributions from the community!

License

MiroThinker is released under the Apache 2.0 License, making it free to use, modify, and distribute.


Note: MiroThinker 1.5 represents a new generation of AI research agents that combine the power of large language models with advanced web search capabilities. As an open-source project, it continues to evolve with community feedback and contributions.

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