Advanced & Frontier
Emerging agent paradigms and frontier research.
Agent Distillation
Agent distillation trains smaller, faster, cheaper models on successful trajectories collected from expensive frontier agents, trading inference-time compute for training-time compute to reduce production costs by 10-100x.
Agent Operating Systems
Agent operating systems provide OS-like abstractions – process management, memory management, I/O management, and scheduling – that treat AI agents as first-class computing entities requiring systematic resource coordination.
Autonomous Coding Agents
Autonomous coding agents write, test, debug, and iterate on code with minimal human intervention, representing the most mature and practically impactful category of AI agents today.
Computer Use Agents
Computer use agents interact with graphical user interfaces by understanding screenshots, controlling mouse and keyboard, and navigating arbitrary software – turning any application into a programmable API.
Deep Research Agents
Deep research agents perform multi-step investigation by iteratively searching, reading, extracting, synthesizing, identifying gaps, and refining – producing comprehensive reports that would take a human researcher hours or days.
Embodied Agents
Embodied agents are AI systems with physical bodies (robots) that perceive the world through sensors, reason with language models, and act in continuous physical space – bridging the gap between digital intelligence and the real world.
Generative Agents
Generative agents are AI entities with persistent personalities, goals, memories, and social behaviors that produce believable human-like conduct in simulated environments through memory retrieval, reflection, and planning.
Self-Improving Agents
Self-improving agents get better over time by learning from user feedback, optimizing their own prompts, acquiring new skills, and refining their tool usage – without requiring manual re-engineering.
Simulation Environments
Simulation environments are controlled virtual worlds for testing agents before deployment, enabling safe failure, reproducible evaluation, and rapid iteration without real-world consequences.
Web Navigation Agents
Web navigation agents browse the web like humans – filling forms, clicking links, navigating multi-page workflows, and extracting information – using either screenshot-based or HTML/accessibility-tree-based approaches.