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Complex Agent Development

We build Agent systems with autonomous planning, tool use, and multi-agent collaboration, enabling AI to independently complete long-chain, highly complex tasks.

Metrics

Core Capability Metrics

The figures below are sample capability metrics, illustrating the scale of our technical capabilities.

100+Tools & APIs Orchestrated (Sample)

Multi-AgentParallel Collaboration

AutonomousLong-Chain Task Execution

End-to-EndTraceable Auditing

Multi-Agent Collaboration Architecture

User tasks are decomposed and dispatched by the orchestrator, executed in parallel by specialized agents, with unified scheduling of underlying tools (architecture diagram)

Illustrative data for demonstration only; does not represent actual business data.

Pipeline

Technical Pipeline

An autonomous execution chain from task understanding to result delivery.

Requirement UnderstandingPrecisely parsing task goals and constraints, aligned with business intent

Task DecompositionBreaking complex goals into an executable sequence of subtasks

Tool OrchestrationScheduling APIs, databases, file systems, and other tools on demand

Execution MonitoringReal-time status tracking with automatic retry and graceful degradation

Result ValidationMulti-dimensional quality checks to ensure reliable delivery

Capabilities

In-Depth Capabilities

Autonomous Task PlanningIndependently formulating execution plans based on goals and dynamically adjusting paths to handle uncertainty in long-chain tasks.

Tool Invocation & OrchestrationUnified encapsulation and scheduling of tools and APIs, letting agents operate real business systems like engineers.

Long-Term MemoryAccumulating task experience through vector retrieval and context management, reusing knowledge across tasks so the system gets smarter with use.

Multi-Agent CollaborationSpecialized agents for planning, retrieval, execution, and validation working in parallel to advance highly complex tasks.

Scenarios

Use Cases