MiroThinker is a deep research agent optimized for complex research and prediction tasks. Our latest models, MiroThinker-1.7, achieves 74.0 and 75.3 on the BrowseComp and BrowseComp Zh, respectively.
🏆 Top-1 on 5+ benchmarks | Web UI | Supports MiroThinker, Claude, Kimi, OpenAI
[NeurIPS 2025] 🌐 WebThinker: Empowering Large Reasoning Models with Deep Research Capability
[ACL 2026] Official implementation of MTRouter, a cost-aware multi-turn LLM routing framework accepted to ACL 2026 Main Conference.
An easy-to-use evaluation tool for running Humanity's Last Exam on (locally) hosted Ollama instances.
HyDRA is a hierarchical deep research agent framework that orchestrates planning, tool usage, web exploration, and synthesis through robust context management, enabling reliable multi-step reasoning under strict output and token constraints.
Tiny experiments that evaluate how different social-cue prompts influence large language model (LLM) decision-making on HLE dataset multiple-choice questions.
🧠 Transform ideas into structured insights with MiroThinker, a powerful tool for enhancing creativity and collaboration in your projects.
Improve agentic interleaved generation through reinforcement learning methods for better planning and critique in AI models.
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