VideoDB Agent Toolkit
Facilitates seamless integration of VideoDB context with LLMs and AI agents by automating SDK version synchronization, documentation updates, and example generation.
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The VideoDB Agent Toolkit is designed to bridge the gap between VideoDB's powerful capabilities and the world of Large Language Models (LLMs) and AI agents. It automates the process of context generation, maintenance, and discovery, ensuring that your AI applications always have access to the most accurate and up-to-date information. By auto-syncing SDK versions, documentation, and examples, the toolkit simplifies the integration process, allowing developers to focus on building intelligent applications rather than managing context manually. It leverages components like `llms-full.txt` for comprehensive context, `llms.txt` for quick metadata discovery, and the Model Context Protocol (MCP) for standardized interaction.
Características Principales
- Automated SDK version synchronization
- Automatic documentation updates
- Standardized Model Context Protocol (MCP) support
- Modular and customizable context files via config.yaml
- Streamlined context generation for LLMs
- 21 GitHub stars
Casos de Uso
- Integrating VideoDB context into AI-driven IDEs
- Powering chat agents like Claude Code with relevant VideoDB information
- Enhancing customer support and community help through AI agents
