feat: Add metadata and descriptions to various documentation pages in Chinese
- Added titles and descriptions to workspace usage, configuration, customization, design principles, installation, integration guide, lead agent, MCP integration, memory system, middleware, quick start, sandbox, skills, subagents, and tools documentation. - Removed outdated API/Gateway reference and concepts glossary pages. - Updated configuration reference to reflect current structure and removed unnecessary sections. - Introduced new model provider documentation for Ark and updated the index page for model providers. - Enhanced tutorials with titles and descriptions for better clarity and navigation.
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title: Create Your First Harness
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description: This tutorial shows you how to use the DeerFlow Harness programmatically — importing and using DeerFlow directly in your Python code rather than through the web interface.
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import { Callout, Steps } from "nextra/components";
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# Create Your First Harness
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---
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title: Deploy Your Own DeerFlow
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description: This tutorial guides you through deploying DeerFlow to a production environment using Docker Compose for multi-user access.
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---
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import { Callout, Steps } from "nextra/components";
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# Deploy Your Own DeerFlow
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---
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title: First Conversation
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description: This tutorial walks you through your first complete agent conversation in DeerFlow — from launching the app to getting meaningful work done with the agent.
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---
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import { Callout, Steps } from "nextra/components";
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# First Conversation
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---
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title: Use Tools and Skills
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description: This tutorial shows you how to configure and use tools and skills in DeerFlow to give the agent access to web search, file operations, and domain-specific capabilities.
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---
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import { Callout } from "nextra/components";
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# Use Tools and Skills
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---
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title: Work with Memory
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description: This tutorial shows you how to enable and use DeerFlow's memory system so the agent remembers important information about you across multiple sessions.
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---
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import { Callout } from "nextra/components";
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# Work with Memory
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