VideoDB 代理工具包

VideoDB 的 AI 代理工具包

llms.txt >> llms-full.txt MCP

VideoDB 代理工具包

VideoDB 代理工具包向大型语言模型（LLM）和代理展示 VideoDB 上下文。它支持与 AI 驱动的集成开发环境（如 Cursor）、聊天代理如 Claude Code 等。该工具包自动化上下文生成、维护和发现。它自动同步 SDK 版本、文档和示例，并通过 MCP 和 llms.txt 分发。

🚀 快速概述

该工具包提供了为大型语言模型设计的上下文文件，围绕关键组件构建：

llms-full.txt — 深度积分的全面背景。

llms.txt — 轻量级元数据，方便快速发现。

MCP (Model Context Protocol) —— 标准化协议。

这些组件利用自动化工作流程，确保您的AI应用始终以准确、最新的上下文运行。

📦 工具包组件

1.llms-full.txt（查看»）

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llms-full.txt 整合了您的LLM代理所需的一切，包括：

• 全面的VideoDB概述。

• 完整的SDK使用说明和文档。

• 详细的集成示例和最佳实践。

现实世界的例子：

[![Latest Number][token-length-shield]][token-length-url] [![GitHub tag (latest SemVer)][tag-shield]][ tag-url] [![Stars][stars-shield]][stars-url] [![Issues][issues-shield]][issues-url]

VideoDB Agent Toolkit

AI Agent toolkit for VideoDB

llms.txt >> 
llms-full.txt  
MCP

VideoDB Agent Toolkit

The VideoDB Agent Toolkit exposes VideoDB context to LLMs and agents. It enables integration to AI-driven IDEs like Cursor, chat agents like Claude Code etc. This toolkit automates context generation, maintenance, and discoverability. It auto-syncs SDK versions, docs, and examples and is distributed through MCP and llms.txt

🚀 Quick Overview

The toolkit offers context files designed for use with LLMs, structured around key components:

llms-full.txt — Comprehensive context for deep integration.

llms.txt — Lightweight metadata for quick discovery.

MCP (Model Context Protocol) — A standardized protocol.

These components leverage automated workflows to ensure your AI applications always operate with accurate, up-to-date context.

📦 Toolkit Components

1. llms-full.txt (View »)

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llms-full.txt consolidates everything your LLM agent needs, including:

• Comprehensive VideoDB overview.

• Complete SDK usage instructions and documentation.

• Detailed integration examples and best practices.

Real-world Examples:

• VideoDB’s Director code-assistant agent (View Implementation )
• VideoDB’s Discord Bot to power customer support and community help (View Implementation )
• Integrate llms-full.txt directly into your LLM-powered workflows, agent systems, or AI coding environments.

2. llms.txt (View »)

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A streamlined file following the Answer.AI llms.txt proposal. Ideal for quick metadata exposure and LLM discovery.

ℹ️ Recommendation: Use llms.txt for lightweight discovery and metadata integration. Use llms-full.txt for complete functionality.

3. MCP (Model Context Protocol)