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docs: rewrite FAQ for new multi-container architecture (v1.1.0+) (#695)
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README.md

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| Mobile access | Depends on channel setup | Any Matrix client, zero config |
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| Monitoring | None | Manager heartbeat, visible in Room |
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## Roadmap
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### ✅ Released
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- ~~**CoPaw** — Lightweight agent runtime~~ [Released in 1.0.4](blog/hiclaw-1.0.4-release.md): ~150MB memory usage (vs ~500MB for OpenClaw), plus local host mode for browser automation.
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- ~~**Universal MCP Service Support** — MCP server integration~~ [Released in 1.0.6](blog/hiclaw-1.0.6-release.md): Any MCP server can be safely exposed to Workers through the gateway. Workers access tools using only Higress-issued tokens; real credentials never leave the gateway.
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### In Progress
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#### Lightweight Worker Runtimes
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- **ZeroClaw** — Rust-based ultra-lightweight runtime, 3.4MB binary, <10ms cold start.
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- **NanoClaw** — Minimal OpenClaw alternative, <4000 LOC, container-based isolation.
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Goal: Reduce per-Worker memory from ~500MB to <100MB.
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### Planned
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#### Team Management Center
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A built-in dashboard for observing and controlling your Agent Teams — real-time observation, active interruption, task timeline, resource monitoring.
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---
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## Documentation
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README.zh-CN.md

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欢迎[提交 Issue](https://github.com/alibaba/hiclaw/issues),或在 [Discord](https://discord.gg/n6mV8xEYUF) / 钉钉群里随时提问。
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## Roadmap
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### ✅ 已发布
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- ~~**CoPaw** -- 轻量级 Agent 运行时~~ [已在 1.0.4 发布](blog/zh-cn/hiclaw-1.0.4-release.md):Docker 模式内存占用约 150MB(对比 OpenClaw 的 500MB),还支持本地模式可操作浏览器、访问本地文件。
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- ~~**通用 MCP 服务支持** -- MCP 服务集成~~ [已在 1.0.6 发布](blog/zh-cn/hiclaw-1.0.6-release.md):任意 MCP 服务可安全暴露给 Worker,Worker 仅使用 Higress 签发的 token,真实凭证零泄露。
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### 进行中
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#### 轻量级 Worker 运行时
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- **ZeroClaw** -- 基于 Rust 的超轻量运行时,3.4MB 二进制,冷启动 <10ms,专为边缘和资源受限环境设计。
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- **NanoClaw** -- 极简 OpenClaw 替代品,<4000 行代码,基于容器隔离,使用 Anthropic Agents SDK。
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目标:将单 Worker 内存占用从 ~500MB 降至 <100MB,在相同硬件上支持更多 Worker。
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### 计划中
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#### Team 管理中心
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开箱即用的可视化控制台,用于观察和管控整个 Agent Team:
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- **实时观测**:每个 Agent 的工作过程细节可视化(对话、工具调用、思考过程)
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- **主动打断**:发现问题时可随时打断指定 Agent 的工作,接管或调整方向
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- **任务时间线**:谁在什么时候做了什么,完整历史记录
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- **资源监控**:每个 Worker 的 CPU/内存使用情况
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目标:让 Agent Teams 像人类团队一样透明可控--没有黑盒。
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## 文档
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changelog/current.md

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