docs(readme): add Squads feature and remove Paperclip comparison (#2622)

- Add Squads to Features list (EN/zh) highlighting team-level agent routing
- Add a short Squads callout to the 'What is Multica?' section
- Remove the outdated 'Multica vs Paperclip' section from both READMEs

Co-authored-by: multica-agent <github@multica.ai>

README.md

@@ -32,6 +32,8 @@ Multica turns coding agents into real teammates. Assign issues to an agent like
 
 No more copy-pasting prompts. No more babysitting runs. Your agents show up on the board, participate in conversations, and compound reusable skills over time. Think of it as open-source infrastructure for managed agents — vendor-neutral, self-hosted, and designed for human + AI teams. Works with **Claude Code**, **Codex**, **GitHub Copilot CLI**, **OpenClaw**, **OpenCode**, **Hermes**, **Gemini**, **Pi**, **Cursor Agent**, **Kimi**, and **Kiro CLI**.
 
+For larger teams, Squads add a stable routing layer: assign work to a group led by an agent, and the leader delegates to the right member.
+
 <p align="center">
   <img src="docs/assets/hero-screenshot.png" alt="Multica board view" width="800">
 </p>
@@ -53,6 +55,7 @@ Like Multics before it, the bet is on multiplexing: a small team shouldn't feel
 Multica manages the full agent lifecycle: from task assignment to execution monitoring to skill reuse.
 
 - **Agents as Teammates** — assign to an agent like you'd assign to a colleague. They have profiles, show up on the board, post comments, create issues, and report blockers proactively.
+- **Squads** — group agents (and humans) under a leader agent and assign work to the *squad*. The leader decides who should pick it up, so routing stays stable as the team grows. `@FrontendTeam` instead of `@alice-or-bob-or-carol`.
 - **Autonomous Execution** — set it and forget it. Full task lifecycle management (enqueue, claim, start, complete/fail) with real-time progress streaming via WebSocket.
 - **Reusable Skills** — every solution becomes a reusable skill for the whole team. Deployments, migrations, code reviews — skills compound your team's capabilities over time.
 - **Unified Runtimes** — one dashboard for all your compute. Local daemons and cloud runtimes, auto-detection of available CLIs, real-time monitoring.
@@ -128,21 +131,6 @@ Create an issue from the board (or via `multica issue create`), then assign it t
 
 ---
 
-## Multica vs Paperclip
-
-| | Multica | Paperclip |
-|---|---------|-----------|
-| **Focus** | Team AI agent collaboration platform | Solo AI agent company simulator |
-| **User model** | Multi-user teams with roles & permissions | Single board operator |
-| **Agent interaction** | Issues + Chat conversations | Issues + Heartbeat |
-| **Deployment** | Cloud-first | Local-first |
-| **Management depth** | Lightweight (Issues / Projects / Labels) | Heavy governance (Org chart / Approvals / Budgets) |
-| **Extensibility** | Skills system | Skills + Plugin system |
-
-**TL;DR — Multica is built for teams that want to collaborate with AI agents on real projects together.**
-
----
-
 ## CLI
 
 The `multica` CLI connects your local machine to Multica — authenticate, manage workspaces, and run the agent daemon.

README.zh-CN.md

@@ -32,6 +32,8 @@ Multica 将编码 Agent 变成真正的队友。像分配给同事一样分配
 
 不再需要复制粘贴 prompt，不再需要盯着运行过程。你的 Agent 出现在看板上、参与对话、随着时间积累可复用的技能。可以理解为开源的 Managed Agents 基础设施——厂商中立、可自部署、专为人类 + AI 团队设计。支持 **Claude Code**、**Codex**、**GitHub Copilot CLI**、**OpenClaw**、**OpenCode**、**Hermes**、**Gemini**、**Pi**、**Cursor Agent**、**Kimi** 和 **Kiro CLI**。
 
+面向更大的团队，Squads（小队）提供稳定的路由层：把任务分给由 Agent 带队的小队，由队长判断谁最适合接手。
+
 <p align="center">
   <img src="docs/assets/hero-screenshot.png" alt="Multica 看板视图" width="800">
 </p>
@@ -53,6 +55,7 @@ Multica——**Mul**tiplexed **I**nformation and **C**omputing **A**gent。
 Multica 管理完整的 Agent 生命周期：从任务分配到执行监控再到技能复用。
 
 - **Agent 即队友** — 像分配给同事一样分配给 Agent。它们有个人档案、出现在看板上、发表评论、创建 Issue、主动报告阻塞问题。
+- **Squads（小队）** — 把多个 Agent（以及人类成员）组合成由 leader agent 带队的小队，直接把任务分配给小队本身。Leader 会判断谁最适合接手，团队扩容时路由方式保持不变。用 `@前端组` 代替 `@小张或小李或小王`。
 - **自主执行** — 设置后无需管理。完整的任务生命周期管理（排队、认领、执行、完成/失败），通过 WebSocket 实时推送进度。
 - **可复用技能** — 每个解决方案都成为全团队可复用的技能。部署、数据库迁移、代码审查——技能让团队能力随时间持续增长。
 - **统一运行时** — 一个控制台管理所有算力。本地 daemon 和云端运行时，自动检测可用 CLI，实时监控。
@@ -131,19 +134,6 @@ daemon 在后台运行，保持你的机器与 Multica 的连接。它会自动
 
 ---
 
-## Multica vs Paperclip
-
-| | Multica | Paperclip |
-|---|---------|-----------|
-| **定位** | 团队 AI Agent 协作平台 | 个人 AI Agent 公司模拟器 |
-| **用户模型** | 多人团队，角色权限 | 单人 Board Operator |
-| **Agent 交互** | Issue + Chat 对话 | Issue + Heartbeat |
-| **部署** | 云端优先 | 本地优先 |
-| **管理深度** | 轻量（Issue / Project / Labels） | 重度（组织架构 / 审批 / 预算） |
-| **扩展** | Skills 系统 | Skills + 插件系统 |
-
-**简单来说：Multica 专为团队协作打造，让团队和 AI Agent 一起高效完成项目。**
-
 ## 架构
 
 ```