Release version 0.42.3

This release reduces memory growth during extended use, fixes missing collaboration tools in forked Codex conversations, restores skill selection for custom agents, and updates several agents.

Improved

• Claude Code is updated to 2.1.322 with adapter 0.106.0.
• Updated OpenCode to 2.2.7, Kimi Code to 2.5.3, Hermes Agent to 0.23.1 and the ZCode bridge to 0.83.3.

Fixed

• Reduced memory buildup during repeated scrolling, view changes and streaming code generation, improving memory usage during extended sessions. (#1114, #1115, #1117 by @kogekiplay)
• Custom agents with a configured skill directory or shared skill store now list their skills in the / menu, in both chat and automation editors. (#1121 by @ana52070)
• Forked Codex conversations retain their enabled MCP tools, allowing you to continue delegating work to sub-agents and retrieving their results. (#1105)
• Reopening a conversation no longer adds duplicate context compaction cards after the existing history.
• OpenCode commands that time out or are terminated no longer incorrectly appear as successful.
• OpenCode file previews correctly display reads beyond the end of a file, while reads counted from the end no longer show a misleading line range.
• Reopening older ZCode conversations correctly restores their saved titles.

Thanks to @kogekiplay (#1114, #1115, #1117) and @ana52070 (#1121) for their contributions, and to @lxpsxx (#1105) for the report.

发布版本 0.42.3

这一版改善长时间使用时的内存占用，修复 Codex 分叉会话后协作工具丢失、自定义智能体无法选择技能等问题，并更新多个智能体。

改进

• Claude Code 更新至 2.1.322，适配器更新至 0.106.0。
• OpenCode 更新至 2.2.7，Kimi Code 更新至 2.5.3，Hermes Agent 更新至 0.23.1，ZCode 桥接更新至 0.83.3。

修复

• 减少反复滚动、切换视图和持续生成代码时的内存累积，改善长时间使用时的内存占用。（#1114、#1115、#1117 by @kogekiplay）
• 配置了技能目录或共享技能库的自定义智能体，可以在 / 菜单中选择技能，聊天输入框和自动化编辑器均可使用。（#1121 by @ana52070）
• Codex 分叉会话后会保留已启用的 MCP 工具，可以继续委派子智能体并获取执行结果。（#1105）
• 重新打开会话时，已有的上下文压缩卡片不会再重复出现在历史记录末尾。
• OpenCode 中超时或被终止的命令，不再被误标为执行成功。
• OpenCode 读取位置超出文件末尾时，返回内容仍能正确预览，从文件末尾倒数读取时也不会再显示错误的行号范围。
• 重新打开较早的 ZCode 会话时，能正确恢复已保存的会话标题。

感谢 @kogekiplay（#1114、#1115、#1117）和 @ana52070（#1121）的贡献，以及 @lxpsxx（#1105）的反馈。