agent-toolkit
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The VideoDB Agent Toolkit provides a comprehensive solution for integrating VideoDB context with LLMs and AI agents, facilitating automated context generation and maintenance.
The VideoDB Agent Toolkit is designed to expose VideoDB context to LLMs and agents, enabling seamless integration with AI-driven IDEs and chat agents. It automates the generation, maintenance, and discoverability of context, ensuring that AI applications operate with accurate and up-to-date information. The toolkit includes context files like `llms-full.txt` for deep integration and `llms.txt` for quick discovery, and it is distributed through the Model Context Protocol (MCP) and `llms.txt`. The toolkit supports automated workflows to keep context files current, leveraging GitHub Actions for updates triggered by changes in SDKs, documentation, or examples.
Features
- Automated Context Generation: Ensures applications have the latest information through automated workflows.
- Comprehensive Context Files: Includes `llms-full.txt` for deep integration and `llms.txt` for quick discovery.
- Model Context Protocol (MCP): Standardized protocol for context integration.
- GitHub Actions Automation: Manages updates to context files automatically.
- Customizable Configurations: Centralized in `config.yaml` for easy customization.
