docs: use six README launch highlights

Author: cyfyifanchen

README.md

@@ -53,27 +53,37 @@
 
 <table>
 <tr>
-<td width="50%" valign="top">
-<strong>Self-Evolving Long-Term Memory</strong><br>
-Agents can reuse past cases and skills, improve from repeated workflows,
-and become more proactive over time.
+<td width="33%" valign="top">
+<strong>Markdown As Source Of Truth</strong><br>
+All memory is persisted as <code>.md</code> files: readable, editable,
+grep-able, Git-versioned, and openable directly in Obsidian.
 </td>
-<td width="50%" valign="top">
-<strong>Cross-Agent + Cross-Platform</strong><br>
-One portable memory layer follows Claude Code, Codex, OpenClaw, Hermes,
-and the next agents makers build with.
+<td width="33%" valign="top">
+<strong>Local Three-Part Stack</strong><br>
+Markdown + SQLite + LanceDB keep vectors, BM25, and scalar filters
+local. No MongoDB, Elasticsearch, or Redis required.
+</td>
+<td width="33%" valign="top">
+<strong>Dual-Track Memory</strong><br>
+Agent memory (<code>cases</code> / <code>skills</code>) and user memory
+(<code>episodes</code> / <code>profile</code>) are extracted independently.
 </td>
 </tr>
 <tr>
-<td width="50%" valign="top">
-<strong>Markdown-First, User-Owned</strong><br>
-Memory is stored as readable Markdown: visible, auditable, hand-editable,
-Git-friendly, and easy to bring into your own workflow.
+<td width="33%" valign="top">
+<strong>Multimodal Ingestion</strong><br>
+Text, images, audio, documents, PDFs, HTML, and email are unified into
+searchable memory.
 </td>
-<td width="50%" valign="top">
-<strong>Local Runtime, Modular Algorithms</strong><br>
-SQLite and LanceDB keep retrieval local while EverAlgo supplies reusable
-memory algorithms for online and offline evolution.
+<td width="33%" valign="top">
+<strong>Self-Evolution</strong><br>
+Common skills are extracted from real usage; repeated patterns become
+reusable workflows, no retraining required.
+</td>
+<td width="33%" valign="top">
+<strong>Orthogonal Retrieval</strong><br>
+Search independently by <code>user_id</code>, <code>agent_id</code>,
+<code>app_id</code>, <code>project_id</code>, and <code>session_id</code>.
 </td>
 </tr>
 </table>

README.zh-CN.md

@@ -53,23 +53,31 @@
 
 <table>
 <tr>
-<td width="50%" valign="top">
-<strong>Self-Evolving Long-Term Memory</strong><br>
-Agent 可以复用过去的 cases 和 skills，从重复工作流中自我改进，并逐渐变得更加主动。
+<td width="33%" valign="top">
+<strong>Markdown As Source Of Truth</strong><br>
+所有记忆持久化为 <code>.md</code> 文件：可读、可改、可 grep、可 Git 版本化，也可直接用 Obsidian 打开。
 </td>
-<td width="50%" valign="top">
-<strong>Cross-Agent + Cross-Platform</strong><br>
-一层可携带的记忆跟随 Claude Code、Codex、OpenClaw、Hermes，以及 maker 接下来构建的 Agent。
+<td width="33%" valign="top">
+<strong>Local Three-Part Stack</strong><br>
+Markdown + SQLite + LanceDB 在本地完成向量、BM25 和标量过滤检索，无需 MongoDB、Elasticsearch 或 Redis。
+</td>
+<td width="33%" valign="top">
+<strong>Dual-Track Memory</strong><br>
+Agent 记忆（<code>cases</code> / <code>skills</code>）与用户记忆（<code>episodes</code> / <code>profile</code>）独立提取，互不污染。
 </td>
 </tr>
 <tr>
-<td width="50%" valign="top">
-<strong>Markdown-First, User-Owned</strong><br>
-记忆以可读 Markdown 存储：可见、可审计、可手动编辑、Git 友好，也方便接入自己的工作流。
+<td width="33%" valign="top">
+<strong>Multimodal Ingestion</strong><br>
+文本、图像、音频、文档、PDF、HTML 和邮件统一抽取为可检索的记忆形态。
 </td>
-<td width="50%" valign="top">
-<strong>Local Runtime, Modular Algorithms</strong><br>
-SQLite 和 LanceDB 让检索保持本地化；EverAlgo 提供可复用的记忆算法，支撑在线与离线进化。
+<td width="33%" valign="top">
+<strong>Self-Evolution</strong><br>
+从真实使用经验中自动抽取共性 skills，重复模式沉淀为可复用流程，无需重训。
+</td>
+<td width="33%" valign="top">
+<strong>Orthogonal Retrieval</strong><br>
+按 <code>user_id</code>、<code>agent_id</code>、<code>app_id</code>、<code>project_id</code> 和 <code>session_id</code> 五维独立检索。
 </td>
 </tr>
 </table>