cortexdb

What problem does it solve?

CortexDB provides an embedded, pure-Go storage kernel that unifies vector search, graph knowledge, and memory for AI agents, all within a single SQLite file.

Core Features & Use Cases

• Vector search with multiple index types (HNSW, IVF, Flat) and similarity metrics (cosine, dot, euclidean)
• Hybrid search that fuses vector similarity with full-text search (FTS5) for robust recall
• Built-in memory system (Hindsight) and knowledge graph capabilities for multi-hop reasoning
• MCP Tool Calling support and no-embedder mode options for LLM-driven workflows
• Zero external dependencies and easy cross-compilation as a pure Go solution on SQLite

Quick Start

Install CortexDB in a Go project and start storing embeddings, querying with semantic search, and building graph-backed knowledge contexts with a single SQLite file.