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How to implement a Claude Code-like layered multi-agent architecture to enhance the modularity of AI systems?

2025-08-22 480

Hierarchical Multi-Agent Architecture Implementation

To implement a layered multi-agent architecture similar to Claude Code, key design ideas can be taken from the project's system architecture document. There are 4 main steps:

  • Designing the division of roles: Refer to the three-tier structure mentioned in the analysis materials: Main Agent (central controller), Sub-Agents (functional modules) and Task Agents (temporary instances). The main Agent is responsible for core scheduling, sub-Agents handle domain-specific tasks, and Task Agents are automatically destroyed after executing specific jobs.
  • Establishment of communication mechanisms: Using h2A double-buffered asynchronous message queues, message isolation and zero-latency delivery can be achieved through Node.js Worker Threads or Redis Pub/Sub
  • Permission Segregation Program: Drawing on the design of the 6-layer permission validation chain in the warehouse, the RBAC model is used to assign execution permissions to Agents at different levels, and access to core resources is subject to multi-layer authentication.
  • Enabling process control: Refer to the "6-phase execution pipeline" model in the technical documentation to modularize the tool discovery → parameter validation → permission checking → pre-execution → concurrent execution → result recovery process.

The scripts/ directory of this project provides TypeScript interface definitions for message queuing and permission validation, which can be used directly as development templates.

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