Infinigence AI and Three-Body Universe announced a strategic partnership at the 2026 Three-Body Day event in Beijing and introduced their first joint product, Zhizi Agent 1.0, an AI conversational agent built around the personality traits of Sophon, the administrator of micro-universe No. 637 in The Three-Body Problem universe. According to the announcement, the product is designed to address common issues in character-based AI systems, including weak character fidelity and persona drift, by using technologies such as multi-agent collaboration. As the AI infrastructure partner, Infinigence AI said it is providing end-to-end engineering support for agent development, knowledge and memory management, and inference services through its Agentic Infra product stack. The company added that its AgentWorks platform can convert text from the Three-Body world setting into configurable system engineering, while a multi-agent coordination mechanism and its self-developed PDD cross-cluster heterogeneous inference architecture are intended to keep the character experience low-latency and low-cost. The update was carried by Techub, citing QbitAI as the source of the information.
Infinigence AI and Three-Body Universe announced a strategic partnership at the 2026 Three-Body Day event in Beijing and released their first joint product, Zhizi Agent 1.0, an AI conversational agent with the personality traits of Sophon.
The agent is anchored to Sophon, the administrator of micro-universe No. 637 in The Three-Body Problem. The companies said it is aimed at tackling industry pain points such as weak character restoration and persona drift through technologies including multi-agent collaboration.
As the AI infrastructure partner, Infinigence AI said it is supporting Three-Body Universe through its Agentic Infra product system, covering the full engineering chain for agent development, knowledge and memory management, and inference services.
According to the announcement, its AgentWorks platform can turn text from the Three-Body world setting into configurable system engineering. The company also said that a multi-agent collaboration mechanism and its self-developed PDD cross-cluster heterogeneous inference architecture are used to maintain a low-latency, low-cost character experience.
The update was published by Techub and cited QbitAI as the source.
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