88Z AI, 11 August — ZCode, under Zhipu AI, has undergone a comprehensive upgrade, introducing four core features: Goal, Subagents, Remote Control, and Off-Peak Tasks. The Goal mode enables autonomous breakdown and delivery of complex tasks, Subagents facilitate parallel multi-agent collaboration, Remote Control allows management via mobile or WeChat, and Off-Peak Tasks run without points during low-traffic periods. Meanwhile, GLM Coding Plan quotas have been uniformly reset, with all user balances fully restored.
At a glance
- ZCode launches four new features including Goal and Subagents, supporting remote control and off-peak point-free tasks
- GLM Coding Plan quotas are uniformly reset, with all user balances fully restored
The update
ZCode, a platform under Zhipu AI, has recently completed a comprehensive upgrade, officially launching four new features: Goal, Subagents, Remote Control, and Off-Peak Tasks. The Goal mode allows users to set verifiable objectives, enabling the system to autonomously break down, execute, and iteratively deliver complex tasks. Subagents facilitate parallel collaboration among multiple agents to enhance processing efficiency. Remote Control supports remote task management via mobile phones or WeChat, while Off-Peak Tasks allow users to execute operations without consuming points during low-traffic periods. Additionally, the platform has implemented a uniform quota reset for the GLM Coding Plan. Currently, all user quotas have been fully restored, ensuring developers can continue to utilize related services. This upgrade aims to further optimize the coding and task management experience through feature expansion and resource replenishment.
Sources & editorial note
This article is an AI-assisted synthesis by 88Z AI based on the public sources below. Product claims and availability are attributed to their publishers. It does not represent independent testing or first-hand reporting.
- ZcodeSource published
Source dates above refer to the original announcements; the date under the headline is this article’s publication on 88Z AI.