From 2100d1198232b4c9f9c744554eca1db06281d273 Mon Sep 17 00:00:00 2001
From: aries_ckt <916701291@qq.com>
Date: Mon, 16 Mar 2026 00:00:00 +0800
Subject: [PATCH] docs: readme

---
 README.md    | 26 +++++++++++++-------------
 README.zh.md | 18 +++++++++---------
 2 files changed, 22 insertions(+), 22 deletions(-)

diff --git a/README.md b/README.md
index 763fb61d9..78beb5084 100644
--- a/README.md
+++ b/README.md
@@ -50,38 +50,38 @@
 
 </div>
 
-> **Connect to databases, files, and knowledge bases. Let AI autonomously write SQL and code, use skills, run in sandboxed environments, and generate charts, reports, and decisions.**
+> **An open-source AI data assistant that connects to your data, writes SQL and code, runs skills in sandboxed environments, and turns analysis into reports, insights, and action.**
 
 ## What is DB-GPT?
 
-DB-GPT is an open-source **agentic AI data assistant** built for the next generation of **AI + Data** products.
+DB-GPT is an open-source **agentic AI data assistant** for the next generation of **AI + Data** products.
 
 It helps users and teams:
-- connect to **multiple data sources** such as databases, CSV / Excel files, warehouses, and knowledge bases
-- ask questions in natural language and let AI **autonomously write SQL**
-- run **Python and code-based analysis** workflows
+- connect to **databases, CSV / Excel files, warehouses, and knowledge bases**
+- ask questions in natural language and let AI **write SQL autonomously**
+- run **Python- and code-driven analysis** workflows
 - load and execute reusable **skills** for domain-specific tasks
 - generate **charts, dashboards, HTML reports, and analysis summaries**
-- safely execute tasks in **sandboxed environments**
+- execute tasks safely in **sandboxed environments**
 
 DB-GPT is also a platform for building **AI-native data agents, workflows, and applications** with agents, AWEL, RAG, and multi-model support.
 
 ## Why DB-GPT?
 
 ### 1. Agentic data analysis
-DB-GPT can plan tasks, break work into steps, call tools, and iteratively complete analysis workflows.
+Plan tasks, break work into steps, call tools, and complete analysis workflows end to end.
 
 ### 2. Autonomous SQL + code execution
-DB-GPT can automatically write SQL and code to query data, clean datasets, compute metrics, and generate outputs.
+Generate SQL and code to query data, clean datasets, compute metrics, and produce outputs.
 
 ### 3. Multi-source data access
-DB-GPT works across structured and unstructured sources, including databases, spreadsheets, documents, and knowledge bases.
+Work across structured and unstructured sources, including databases, spreadsheets, documents, and knowledge bases.
 
 ### 4. Skills-driven extensibility
-DB-GPT supports reusable skills that encapsulate domain knowledge, analysis methods, and execution workflows.
+Package domain knowledge, analysis methods, and execution workflows into reusable skills.
 
 ### 5. Sandboxed execution
-DB-GPT can safely run code and tools in isolated environments for more reliable and controllable analysis.
+Run code and tools in isolated environments for safer, more reliable analysis.
 
 ## What you can do with DB-GPT
 
@@ -90,7 +90,7 @@ DB-GPT can safely run code and tools in isolated environments for more reliable
 - Ask business questions in natural language and let AI **write SQL automatically**
 - Perform **financial report analysis** with code, charts, and narrative summaries
 - Create and reuse **SQL analysis skills** and domain workflows
-- Combine **code, SQL, retrieval, and tools** in one agentic workflow
+- Combine **code, SQL, retrieval, and tools** in a single agentic workflow
 - Build next-generation **AI + Data assistants** for your team or product
 
 ## Product Workflow
@@ -398,7 +398,7 @@ We protect data privacy and execution safety through private model deployment, p
 
 ## Vision
 
-We believe the future of data products is not dashboards alone.
+We believe the future of data products goes beyond dashboards.
 
 The next generation of **AI + Data** products will be:
 - **agentic**
diff --git a/README.zh.md b/README.zh.md
index 5f7748f31..ed8aa59eb 100644
--- a/README.zh.md
+++ b/README.zh.md
@@ -50,16 +50,16 @@
 
 </div>
 
-> **连接数据库、文件和知识库，让 AI 自主写 SQL、自主写代码、调用 skills、在沙箱环境中执行任务，并生成图表、报告与决策结论。**
+> **一个开源的 AI 数据分析智能助手：连接你的数据，自主编写 SQL 与代码，在沙箱环境中运行 skills，把分析转化为报告、洞察与行动。**
 
 ## DB-GPT 是什么？
 
 DB-GPT 是一个开源的 **Agentic AI 数据分析智能助手**，面向下一代 **AI + Data** 产品形态。
 
 它可以帮助用户和团队：
-- 连接 **多种数据源**，包括数据库、CSV / Excel、数仓、知识库与文档
+- 连接 **数据库、CSV / Excel、数仓、知识库与文档**
 - 使用自然语言提问，并让 AI **自主编写 SQL**
-- 执行 **Python 与代码分析** 流程
+- 执行 **Python 与代码驱动的数据分析流程**
 - 加载并执行可复用的 **skills**
 - 自动生成 **图表、Dashboard、HTML 报告和分析总结**
 - 在 **沙箱环境** 中安全执行分析任务
@@ -69,19 +69,19 @@ DB-GPT 不只是一个助手界面，它同时也是一个平台，用于构建
 ## 为什么选择 DB-GPT？
 
 ### 1. Agentic 数据分析
-DB-GPT 不只是回答问题，它会进行任务规划、步骤拆解、工具调用和迭代式分析。
+它不只是回答问题，而是会进行任务规划、步骤拆解、工具调用和迭代式分析。
 
 ### 2. 自主 SQL + 自主代码执行
-DB-GPT 能自动编写 SQL 和代码，用于查询数据、处理数据、计算指标和生成结果。
+自动编写 SQL 和代码，用于查询数据、处理数据、计算指标并生成结果。
 
 ### 3. 多数据源分析
-DB-GPT 可同时处理结构化与非结构化数据，包括数据库、表格文件、文档和知识库。
+同时处理结构化与非结构化数据，包括数据库、表格文件、文档和知识库。
 
 ### 4. Skills 驱动的可扩展能力
-DB-GPT 支持将领域知识、分析方法和执行流程沉淀为 skills，实现复用与扩展。
+将领域知识、分析方法和执行流程沉淀为 skills，实现复用与扩展。
 
 ### 5. 沙箱安全执行
-DB-GPT 可以在隔离环境中运行代码和工具，使分析过程更安全、更可控。
+在隔离环境中运行代码和工具，让分析过程更安全、更可控。
 
 ## 你可以用 DB-GPT 做什么？
 
@@ -417,7 +417,7 @@ DB-GPT 同时也是一个构建 AI Native 数据产品的平台，提供：
 
 ## 愿景
 
-我们相信，未来的数据产品不应只是 Dashboard。
+我们相信，未来的数据产品不应止于 Dashboard。
 
 下一代 **AI + Data** 产品将是：
 - **agentic**