HelixDB
ActiveDescription
An open-source graph-vector database built from scratch in Rust, combining graph database and vector retrieval capabilities to provide AI agents with unified storage for both knowledge graphs and semantic search.
Key Features
- Graph-vector database combining graph traversal and vector similarity search in one system
- Rust-based engine for high performance with low resource consumption
- TypeScript and Rust SDKs with declarative query DSL for building queries
- helix chef one-shot bootstrapper that scaffolds projects and hands off to coding agents
- HelixDB Cloud with ACID transactions, auto-scaling readers, and high availability
- Supports KV, document, and relational data models alongside graph and vector
Use Cases
💡 Building AI agent memory systems with both graph relationships and semantic vector search
💡 Creating knowledge graphs with federated data access for enterprise AI applications
💡 Running RAG pipelines that combine structured graph queries with unstructured vector retrieval
💡 Prototyping AI applications with a single database instead of managing multiple storage systems
Strengths & Limitations
✅ Strengths
- • Actively maintained, recent updates
- • High community interest (5.7k stars)
- • Permissive open-source license (Apache-2.0)
- • Responsive to issues, low backlog
Categories
Quick Start
curl -sSL https://install.helix-db.com | bash && helix chef