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Agentic AI Systems
Building Autonomous Intelligent Agents
Research Overview
Our core research focuses on developing AI agents capable of autonomous decision-making, planning, and execution in dynamic environments. We explore novel architectures that combine reasoning, memory, and tool use to create agents that can operate independently while remaining aligned with human values.
Key Focus Areas
Goal-Oriented Agent Architectures
Designing agents that can decompose complex goals into executable plans
Tool-Using Agents
Enabling AI systems to leverage external tools and APIs autonomously
Long-Horizon Planning
Developing agents that can reason over extended time horizons
Agent Memory Systems
Building persistent memory mechanisms for contextual awareness
Multi-Modal Agent Perception
Integrating vision, language, and sensory inputs for holistic understanding
Active Projects
- Project AgentBench: A comprehensive evaluation framework for agentic capabilities
- Persistent Memory Agents: Long-term memory integration for continuous learning
- Multi-Domain Orchestration: Agents that coordinate across different operational domains