DeepSeek launches a new Agent architecture.
1 hours ago
Beating AI Express News: On the evening of October 31, the DeepSeek Harness team published a technical paper titled "Exploring Super-agent Design: Towards More Autonomous Agent Systems". DeepSeek noted that advancements in model capabilities have spurred new application forms, with personal agents recently emerging in large numbers. However, mainstream agent designs today struggle to support this model at scale for multi-tasking and team collaboration. Agents still operate with a single session as their basic unit, and different sessions function independently. Under this design, the upper limit for single tasks depends on model capabilities, while the upper limit for multi-tasks depends on human attention. Through concepts including a two-layer architecture, event-driven design, asynchronous multi-channel interaction, separation of storage and computation, and an external watchdog, the DeepSeek team has overcome these limitations. The system handles tedious session management and context synchronization at the underlying layer, allowing humans to shift focus from specific execution details to higher-level decision-making and acceptance. DeepSeek refers to this agent form and its system architecture as a "Super-agent". The paper notes that internal Super-agent instances built using this framework are already running continuously, regularly participating in issue reproduction and fixes, code review responses, and the iteration of DeepSeek Harness itself. (DeepSeek Harness Team)
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