diff --git a/README.md b/README.md
index b653d15..c61a4aa 100644
--- a/README.md
+++ b/README.md
@@ -24,6 +24,12 @@ The model decides <em>when</em> and <em>what</em> to compress — not a hard lim
 
 > **Host support:** this plugin is for **Pi**. It does **not** support **OMP (oh-my-pi)** — on an OMP host it refuses to run. OMP users: use [billion-context](https://github.com/ranxianglei/billion-context) instead (`bili omp`, built-in plugin). Full client → package table: see [Which do I need?](#which-do-i-need); OMP details: [docs/omp.md](./docs/omp.md).
 
+## Community
+
+Discussion, help, and updates on QQ — one group covers all three projects (`billion-context`, `billion-context-pi`, `opencode-acp`):
+
+**QQ Group: 1056132097**
+
 ## Why?
 
 When conversations get long, the model runs out of context. Most tools hard-truncate — silently dropping earlier messages. **billion-context** gives the model a `compress` tool: the LLM decides **when** and **what** to compress into high-fidelity summaries, preserving critical details (file paths, decisions, error strings) while reclaiming context space.
@@ -246,12 +252,6 @@ Restore them next to each other on the target machine. For clone/fork children,
 
 The compression engine is [`acp-kernel`](https://github.com/ranxianglei/acp-kernel) — a platform-agnostic, MIT-licensed library with 208 tests. It's bundled inline into `dist/index.js`, so there are zero runtime dependencies.
 
-## Community
-
-Discussion, help, and updates on QQ — one group covers all three projects (`billion-context`, `billion-context-pi`, `opencode-acp`):
-
-**QQ Group: 1056132097**
-
 ## License
 
 MIT.
diff --git a/README.zh-CN.md b/README.zh-CN.md
index 3ef040c..6fea43e 100644
--- a/README.zh-CN.md
+++ b/README.zh-CN.md
@@ -22,6 +22,12 @@
 
 > **宿主支持:** 本插件面向 **Pi**。它**不支持 OMP(oh-my-pi)** —— 在 OMP 宿主上会拒绝运行。OMP 用户请直接改用 [billion-context](https://github.com/ranxianglei/billion-context)(启动命令 bili omp);其他客户端的完整对照见[该选哪个?](#该选哪个)。OMP 详细说明:[docs/omp.zh-CN.md](./docs/omp.zh-CN.md)。
 
+## 社区
+
+交流、求助与更新都在 QQ——同一个群覆盖三个项目(`billion-context`、`billion-context-pi`、`opencode-acp`):
+
+**QQ 群:1056132097**
+
 ## 为什么选择 billion-context
 
 当对话变长,模型的上下文会耗尽。多数工具采用硬截断 —— 静默丢弃早期消息。**billion-context** 把 `compress` 工具交给模型:由 LLM 决定**何时**压缩、压缩**什么**,将内容压缩成高保真摘要,在回收上下文空间的同时保留关键细节(文件路径、决策、错误字符串)。
@@ -246,12 +252,6 @@ cp -r ~/.pi/agent/sessions  <备份>/pi-sessions
 
 压缩引擎是 [`acp-kernel`](https://github.com/ranxianglei/acp-kernel) — 平台无关、MIT 许可的库,有 208 个测试。它被内联打包进 `dist/index.js`,因此零运行时依赖。
 
-## 社区
-
-交流、求助与更新都在 QQ——同一个群覆盖三个项目(`billion-context`、`billion-context-pi`、`opencode-acp`):
-
-**QQ 群:1056132097**
-
 ## 许可证
 
 MIT.