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AI Research

Building the nextgeneral agent

A general agent system that combines perception, reasoning, and action so AI can understand the world, plan goals, and complete tasks autonomously.

Explore researchView research outputs
Agent core connecting perception, memory, reasoning, planning, tools, execution, and learningPerceptionReasoningPlanningToolsExecutionLearningMemory

Core research directions

General agent architecture

Build extensible, composable architectures for complex tasks.

Long-term memory

Unify context and durable knowledge for continuous learning.

Multimodal task execution

Unify multimodal understanding and generation for coordinated action.

Capability system

Environment understanding

Perceive multiple signals and model real-world change.

Task planning

Decompose goals into plans that adapt as work changes.

Tool use

Use tools and knowledge to extend the agent's reach.

Autonomous execution

Execute, observe, and improve toward verifiable outcomes.

Research highlights

Agent architectures for open worlds
Architecture

Agent architectures for open worlds

A layered architecture for stronger generalization and robustness on complex tasks.

2026-08-06
A unified long-term memory model
Memory

A unified long-term memory model

A unified memory framework for knowledge aggregation and long-range dependencies.

2026-06-22
Multimodal collaborative reasoning
Multimodal

Multimodal collaborative reasoning

Jointly understand and generate across text, images, and audio.

2026-04-18

Explore more research

Keep expanding the frontier of general agent technology.

View all research outputs