Reverse-Engineering Claude Code Agent Teams: Architecture and Protocol
This article examines the inner workings of the Agent Teams feature in Claude Code (v2.1.47), a multi-agent coding orchestrator. It covers the architecture, shared task list, inter-agent communication, agent lifecycle, and other technical details.
Why it matters
This article provides valuable insights into the inner workings of a novel multi-agent AI system, which can inform the design of similar collaborative AI architectures.
Key Points
- 1Agent Teams consist of a lead agent and multiple teammate agents, coordinating through a shared file-based system
- 2The team configuration, task list, and per-agent mailboxes are stored as files in the ~/.claude/ directory
- 3Agents communicate and coordinate tasks through this decentralized, file-based system without a central background process
- 4The article explores technical details around task claiming, agent spawning, quality gates, and token economics
Details
The article provides an in-depth look at the architecture and protocol of the Agent Teams feature in Claude Code. It explains how the system is built on a decentralized, file-based coordination model, with a team lead agent creating and managing the team, and separate teammate agents each with their own context window. The shared task list, stored as individual JSON files, is the central coordination mechanism, along with per-agent mailboxes for communication. The author reverse-engineered this system by examining the filesystem artifacts, the Claude Code binary, and the official documentation. Key technical details covered include the task claiming process, agent spawning and lifecycle, quality gates and hooks, and the token economics model. Overall, the article offers a comprehensive understanding of how this multi-agent system is architected and how the agents interact to accomplish shared tasks.
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