Elite AI Agent Research Team π
Building the future of Autonomous Intelligence
End-to-end execution for real-world coding tasks, enabling agents to autonomously understand, modify, and run complex repositories.
Multi-step reasoning agents for open-ended scientific and knowledge discovery, synthesizing insights across domains.
Reasoning-centered reinforcement learning, bridging decision-making, planning, and adaptive intelligence.
Agents that continuously improve through self-evolution and collaborative learning, enabling emergent collective intelligence.
Comprehensive agentic framework orchestrating six distinct capabilities for advanced multimodal reasoning and problem solving.
A novel framework for self-evolving agents that optimizes reasoning trajectories through continuous learning and adaptation.
A benchmark evaluating code agents on their ability to solve complex, real-world tasks by leveraging entire code repositories.
Autonomous agents capable of exploring and understanding large-scale codebases to solve complex programming tasks.
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