AgentDB Advanced Features
Master advanced AgentDB features including QUIC synchronization, multi-database management, custom distance metrics, hybrid search, and distributed systems integration. Use when building distributed AI systems, multi-agent coordination, or advanced vector search applications.
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A SKILL.md that teaches an AI coding agent advanced AgentDB features: QUIC synchronization, multi-database management, custom distance metrics, hybrid vector+metadata search, MMR, and production patterns. It is structured as reference documentation with prerequisites, code examples, CLI operations, environment variables, and troubleshooting sections.
Load it when your agent needs to build or configure distributed AgentDB setups beyond basic single-instance vector search.
Use it to
- Set up QUIC sync between AgentDB instances
- Implement hybrid vector and metadata search
- Choose or define distance metrics
- Manage multiple databases and sharding
- Apply production patterns like pooling and monitoring
For Developers building distributed AI systems or multi-agent coordination
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