Oct. 31 — DeepSeek’s Harness team published a technical paper, Super-agent design exploration: Toward more autonomous agent systems, outlining an architecture to scale agents beyond single-session limits. The paper says rising model capability has spurred personal assistant agents but current designs isolate sessions and cap multi-tasking at model ability and human attention. DeepSeek proposes a two-layer architecture with event-driven, asynchronous multi-channel interaction, compute–storage sep

Oct. 31 — DeepSeek’s Harness team published a technical paper, Super-agent design exploration: Toward more autonomous agent systems, outlining an architecture to scale agents beyond single-session limits. The paper says rising model capability has spurred personal assistant agents but current designs isolate sessions and cap multi-tasking at model ability and human attention. DeepSeek proposes a two-layer architecture with event-driven, asynchronous multi-channel interaction, compute–storage separation and an external watchdog to centralize session management and context sync, shifting humans to higher-level decision and acceptance tasks. The firm says internal Super-agent instances are already running for bug reproduction and repair, code-review responses and iterative development of DeepSeek Harness.