DeepSeek Releases Super-agent Architecture; Internal Instance Already Participates in Code Review and Fixes

On the evening of October 31, the DeepSeek Harness team published a technical article on its official WeChat account titled "Super-agent Design Exploration: Toward a More Autonomous Agent System."

DeepSeek stated that improvements in model capabilities have given rise to new application forms, with personal assistants (Personal Agents) beginning to emerge in concentrated numbers. However, existing mainstream Agent designs still struggle to support this model at the scale of multitasking and team collaboration, as the upper limit on multitasking depends on human attention. Through approaches such as a dual-layer architecture, event-driven design, asynchronous multi-channel interaction, separation of storage and computation, and an external Watchdog, the DeepSeek team overcame these limitations. At the underlying level, the system takes over cumbersome session management and context synchronization, allowing humans to move further up from specific execution details to higher-level decision-making and acceptance.

DeepSeek calls this Agent form and its system architecture Super-agent. The article mentions that, at present, an internal Super-agent instance built on this approach is already running continuously, participating in daily issue reproduction and fixing, code review responses, and the iteration of DeepSeek Harness itself. When team members report software issues in a group chat, even if no one actively @s the AI, it can identify potential defects and attempt in the background to reproduce the issue and find a fix. (First Financial Reporter Liu Xiaojie)