About AgentDB
AgentDB is a portable, single-file embedded database designed for AI-agent applications. It combines relational SQL queries, vector search using HNSW, full-text search, hybrid queries, and memory graphs in one database file. This allows an application to store structured records, searchable text, vector representations, and connected memory information without maintaining separate database services for each type. The embedded design and lack of external dependencies make AgentDB suitable for software that needs to keep its data close to the application. Hybrid queries can combine different retrieval methods, while memory graphs represent relationships among stored items. The product is aimed at developers building agent systems that need persistent memory or retrieval features. The supplied information does not specify supported languages or scale limits, so those details depend on the implementation.
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