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DeepSeek Shares Super-agent Architecture, Open-Source Prototype and Initial Evaluation

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DeepSeek shared its Super-agent architecture and an open-source prototype designed to coordinate ongoing tasks across platforms, with preliminary simulations showing a median task completion time of 12.4 minutes, according to QbitAI. The design uses a Router and multiple Workers, with event filtering, direct routing and a Watchdog for recovery. Its asynchronous ReAct loop is implemented in DeepSeek Harness but is not enabled by default. QbitAI reported that the simulations involved about 300 messages and 20 work requests, with a 95th-percentile task completion time of 15.7 minutes.

Generated by AI from reports · Updated 51 minutes ago

Latest development10/31 21:49 (UTC+8)
DeepSeek Open-Sources Super-agent Prototype for Persistent, Autonomous Agent Workflows量子位

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10/31
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    DeepSeek Open-Sources Super-agent Prototype for Persistent, Autonomous Agent Workflows

    DeepSeek shared its Super-agent architecture and open-source prototype for coordinating ongoing tasks across platforms through a Router and multiple Workers. QbitAI reports that preliminary simulations involving about 300 messages and 20 work requests produced a median task completion time of 12.4 minutes and a 95th-percentile time of 15.7 minutes. The design includes event filtering, direct routing, and a Watchdog for recovery; its asynchronous ReAct loop is implemented in DeepSeek Harness but is not enabled by default.

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