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Gemini Executive Synthesis

Real-time Actor steering, rich A2UI incremental updates, Worker Skill Context, continuous interactive loops for DAG Actors.

Technical Positioning
Advanced agent orchestration, dynamic user interaction, rich visual feedback, vendor-agnostic protocol, auditable workflows.
SaaS Insight & Market Implications
This Epic details a critical evolution for `homerail` from basic DAG execution to sophisticated, interactive agent orchestration. The current limitation—Actors acting as "waiting for text results" rather than dynamic, visually rich entities—is a significant barrier to advanced use cases. The goal to enable "active turn steering," "continuous follow-up questions," and "incremental A2UI updates" directly addresses the need for real-time, human-in-the-loop interaction with AI agents. This positions `homerail` to move beyond batch processing towards truly collaborative, auditable workflows. The emphasis on "vendor-agnostic protocol" and "stable `actor_id`" indicates a strategic focus on interoperability and long-term architectural stability. Achieving these capabilities, especially with rich visual feedback, will be a key differentiator in the competitive voice-first agent orchestration market, enabling more complex, user-driven applications.
Proprietary Technical Taxonomy
Actor Steering Worker Skill Context 富 A2UI 增量更新 live steering digest-pinned Worker Skill Context Actor-owned rich Surface patches 定向追问 Manager 冷重启

Raw Developer Origin & Technical Request

Source Icon GitHub Issue Jul 16, 2026
Repo: xiaotianfotos/homerail
[Epic ][J] 运行中 Actor Steering、Worker Skill Context 与富 A2UI 增量更新

## 当前进度（2026-07-21）

- ✅ 实现切片已合并：[PR #59](github.com/xiaotianfotos/hom... live steering、[PR #60](github.com/xiaotianfotos/hom... digest-pinned Worker Skill Context、[PR #61](github.com/xiaotianfotos/hom... Actor-owned rich Surface patches。
- ✅ 12/12 自动化验收项已覆盖；真实富 Surface 与可审计 IDs/revisions 证据已由 #61 完成。
- ✅ [PR #74](github.com/xiaotianfotos/hom... 进一步验证了同一稳定 Surface 的定向追问、Manager 冷重启和单 Actor Worker 透明重建。
- ⏳ Issue 保持开放；还需要完成以下严格真实验收：
1. Kimi Code 与 Claude Code 后端各完成一次 **active turn 内** steering；
2. 三个并发 Actor 在 active 状态下连续接收至少三次追问；
3. 针对富 Surface 补齐 1080p 与手机端联合截图或录屏证据。

当前清单进度：**14/17**。

父 Epic：#36
依赖：#45（对应当前三 Actor Showcase 基线）

## Why

当前 Durable Actor 能在一轮 Fan-in 后进入 waiting，并在后续轮次继续使用同一逻辑 Actor；但它还不能形成真正连续的交互循环：

- 用户命令只在 run/round 已进入 waiting 时才能通过受控 Actor 命令路径生效。
- 通用 inject 路径会在 WebSocket 写入成功后报告 delivered，但 Worker 除 interrupt 外不会把 inbox/auto/redispatch 指令送入正在运行的模型。
- WorkflowSpec 已保留 `agents..skills`，Worker Dispatch 也携带 agent config，但 Worker 尚未解析或加载声明的 Skill 内容。
- Live Surface Projector 当前只生成固定的标题、状态、进度和文本 findings，Worker 没有提交受控富视觉状态或 A2UI 增量的能力。

结果是多个 Actor 可以并行完成任务，却仍表现为“等待几个文本结果”，无法在模型执行期间接受连续追问，也无法用持续变化的图像、指标、路线、比较或时间线表达进展。

## 目标

让 Manager 在 Actor 正在运行、热等待或已冷释放三种状态下，都能以同一套供应商无关协议向一个或多个稳定 `actor_id` 发送后续指令；让声明了 Skill 的 Worker 获得经过解析和固定版本的领域与表达约束；让每个 Actor 持续增量更新自己唯一绑定的 A2UI Surface。

用户看到的是多个持续工作的视觉 Actor，而不是多个最终才返回文...

Developer Debate & Comments

No active discussions extracted for this entry yet.

Adjacent Repository Pain Points

Other highly discussed features and pain points extracted from xiaotianfotos/homerail.

Extracted Positioning
Automated project setup and build process for `homerail`, agent-driven installation.
Developer onboarding, ease of use, automated environment setup, reducing friction for new users, self-service installation.
Top Replies
xiaotianfotos • Jul 9, 2026
感谢这条提示词，对新手朋友挺重要的，另外我刚刚开了讨论区，以后有什么想法也可以发在那里
anthonyli • Jul 11, 2026
> 感谢这条提示词，对新手朋友挺重要的，另外我刚刚开了讨论区，以后有什么想法也可以发在那里 讨论区在哪里，今天跑起来配置完模型发消息 就报错
SeewoLT • Jul 11, 2026
> > 感谢这条提示词，对新手朋友挺重要的，另外我刚刚开了讨论区，以后有什么想法也可以发在那里 > > 讨论区在哪里，今天跑起来配置完模型发消息 就报错 是用语音发消息报错吗？
Extracted Positioning
Cold recovery mechanism for DAG workflows, plugin skill validation, build artifact consistency.
Robustness and auditability of DAG workflows, consistent runtime behavior across distributed components, clear error reporting for recovery processes.
Top Replies
xiaotianfotos • Jul 21, 2026
Cold recovery restores persisted active DAG runs after a Manager restart. Nodes that were RUNNING are marked FAILED to avoid unsafe duplicate execution. Therefore, failed=1 means one run was restor...
xiaotianfotos • Jul 21, 2026
I’ll investigate symptom 2 separately. Thanks for reporting it.
xiaotianfotos • Jul 21, 2026
I found a concrete and plausible cause for symptom 2. Before [`71015a8`](https://github.com/xiaotianfotos/homerail/commit/71015a8676438a685c9cd3bb9a4e3a1f6aec446a), `validatePluginSkill()` only per...
Extracted Positioning
Persistent DAG Actors, real-time A2UI task canvas, Manager Supervisor, multi-round interaction, cold recovery, structured activity events.
Scalable, resilient, interactive agent orchestration; auditable and observable AI workflows; vendor-agnostic persistence; robust state management.
Extracted Positioning
Docker daemon readiness detection, actionable error messaging for DAG resource preparation.
User experience, robust error handling, clear operational guidance for self-hosted environments, graceful degradation of functionality.

Frequently Asked Questions

Market intelligence mapped to Real-time Actor steering, rich A2UI incremental updates, Worker Skill Context, continuous interactive loops for DAG Actors..

What is the technical positioning of Real-time Actor steering, rich A2UI incremental updates, Worker Skill Context, continuous interactive loops for DAG Actors.?
Based on our AI analysis of the original developer request, its primary technical positioning is: Advanced agent orchestration, dynamic user interaction, rich visual feedback, vendor-agnostic protocol, auditable workflows.
What are the foundational technologies related to Real-time Actor steering, rich A2UI incremental updates, Worker Skill Context, continuous interactive loops for DAG Actors.?
Our proprietary extraction maps Real-time Actor steering, rich A2UI incremental updates, Worker Skill Context, continuous interactive loops for DAG Actors. to adjacent architectural concepts including Actor Steering, Worker Skill Context, 富 A2UI 增量更新, live steering.

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