Make time visible. Make every day count.
让时间可见,让每一天都有意义。
Deadliner (Deadliner 待办日历) is a family of time-management applications that brings tasks, schedules, habits, and AI assistance into one focused workspace. We build native experiences for every platform while sharing the business capabilities that should remain consistent.
Deadliner(Deadliner 待办日历)是一组时间管理应用,将待办、日程、习惯与 AI 助手整合在一个专注的工作空间中。我们为各个平台打造原生体验,同时共享应保持一致的业务能力。
DeadlinerStudio is maintained by mobile developer Aritx Zhou, desktop developer XiaoChennnng, and product manager qiao411.
目前,DeadlinerStudio 由移动端开发 Aritx Zhou、PC 端开发 XiaoChennnng 与产品经理 qiao411 共同维护。
| Platform / component 平台 / 组件 |
Project 项目 |
Technology 技术栈 |
License / availability 许可 / 状态 |
|---|---|---|---|
| Android / 安卓 | Deadliner | Jetpack Compose | Open source · MIT 开源 · MIT |
| iOS | Deadliner-iOS | SwiftUI | Open source · LGPL-2.1 开源 · LGPL-2.1 |
| HarmonyOS / 鸿蒙 | DeadlinerNEXT | ArkTS / ArkUI | Open source · LGPL-2.1 开源 · LGPL-2.1 |
| Desktop / 桌面端 | Deadliner-Client | Electron / React | Available 已可用 |
| Cross-platform core / 跨平台核心 | DeadlinerCore | Kotlin Multiplatform | Open source · MIT 开源 · MIT |
| AI framework / AI 框架 | Lifi | Kotlin | Closed source 闭源 |
| Backend / 服务端 | Deadliner Server | Go | In development 开发中 |
Repository availability may evolve as the project matures. Please refer to each repository for its current status.
随着项目演进,仓库的可用性可能发生变化;请以各仓库中的当前说明为准。
The mobile architecture keeps UI native, while ViewModels and business capabilities are shared with Kotlin Multiplatform (KMP). The KMP business layer uses expect / actual contracts to work with platform-native implementations, and integrates with its own persistence and networking infrastructure through SQLDelight and Ktor. AI capabilities are accessed through open interfaces; the implementation lives in the closed-source com.deadliner.lifi framework.
移动端架构保留各平台原生 UI,同时通过 Kotlin Multiplatform(KMP)共享 ViewModel 与业务能力。KMP 共享业务层通过 expect / actual 契约与平台原生业务实现交互;内部则使用 SQLDelight 与 Ktor 对接持久化和网络基础能力。AI 能力通过开源接口访问,具体实现位于闭源的 com.deadliner.lifi 框架中。
flowchart TB
subgraph UI["Native UI layer / 原生 UI 层"]
ArkUI["ArkUI"]
SwiftUI["SwiftUI"]
Compose["Jetpack Compose"]
React["React"]
end
subgraph Mobile["Shared mobile architecture / 移动端共享架构"]
VM["KMP UI ViewModels\n共享 UI 视图模型"]
Business["KMP shared business layer\nKMP 共享业务层"]
Native["Platform-native business implementations\n平台原生业务实现"]
Infrastructure["KMP infrastructure\nSQLDelight · Ktor"]
Ports["Open interfaces / ports\n开源接口与端口"]
Lifi["com.deadliner.lifi\nclosed-source AI framework\n闭源 AI 框架"]
end
ArkUI --> VM
SwiftUI --> VM
Compose --> VM
React --> VM
VM <--> Business
Business <-->|expect / actual| Native
Business <--> Infrastructure
Business --> Ports
Ports <--> Lifi
Lifi also includes a planned KotlinRPC server bootstrap. Together with the Go-based Deadliner Server product, it will form the service-side architecture.
Lifi 还包含一个待规划的 KotlinRPC 服务器 bootstrap;它将与 Go 实现的 Deadliner Server 产品共同构成服务端架构。
flowchart LR
Lifi["com.deadliner.lifi\nAI framework / AI 框架"]
Bootstrap["KotlinRPC server bootstrap\nplanned / 待规划"]
Server["Deadliner Server\nGo"]
Lifi --> Bootstrap
Bootstrap <-->|RPC| Server
Deadliner is partly open source. Deadliner for Android and DeadlinerCore are released under the MIT License. Deadliner-iOS and DeadlinerNEXT are released under the GNU Lesser General Public License v2.1 (LGPL-2.1). Lifi—including its prompts, orchestration strategies, and AI implementation—is closed source and is only distributed where explicitly provided.
Deadliner 采用部分开源模式:Android 端与 DeadlinerCore 使用 MIT License;Deadliner-iOS 与 DeadlinerNEXT 使用 GNU Lesser General Public License v2.1(LGPL-2.1)。Lifi 的提示词、编排策略及 AI 实现均为闭源内容,仅在明确提供的范围内分发。
Each repository is the source of truth for its license text and contribution guidance.
各仓库中的许可证文本与贡献说明为最终准则。
Explore the repositories above, open an issue when you find a problem or have an idea, and follow the project as we bring Deadliner to more platforms.
欢迎浏览上方仓库;如果你发现问题或有好的想法,欢迎提交 Issue。也欢迎关注项目,与我们一起将 Deadliner 带到更多平台。
Built with care by DeadlinerStudio.
由 DeadlinerStudio 用心构建。