AgentDB Advanced Features

关于

This skill provides Claude with advanced expertise in managing AgentDB, a specialized database designed for AI agents. It covers sophisticated implementation patterns including sub-millisecond QUIC synchronization for distributed systems, hybrid search that combines vector embeddings with complex metadata filters, and Maximal Marginal Relevance (MMR) for diverse result retrieval. It is an essential capability for developers building complex multi-agent architectures, scalable AI systems, or high-performance search applications requiring fine-grained control over distance metrics, database sharding, and context synthesis.

主要功能

• Multi-database management and horizontal sharding for large-scale deployments
• Maximal Marginal Relevance (MMR) for diverse, non-redundant search results
• Sub-millisecond QUIC synchronization for distributed AI nodes
• Advanced distance metrics including Cosine, Euclidean, and Dot Product
• 1 GitHub stars
• Hybrid search combining vector similarity with complex metadata filtering

使用场景

• Implementing enterprise-grade semantic search with strict metadata constraints
• Building high-availability distributed AI agent swarms across network boundaries
• Scaling AI memory systems using multi-database sharding and optimization