embedded-database

A SQL database in Rust: SQLite-compatible, now also speaking Postgres (experimental). The LLVM of databases.

Simple and fast JSON database

libSQL is a fork of SQLite that is both Open Source, and Open Contributions.

A transactional, relational-graph-vector database that uses Datalog for query. The hippocampus for AI!

A cloud native embedded storage engine built on object storage.

The AI-Native Search Database. Best for agent storage, it unifies vector, text, structured, and semi-structured data into a single engine. This all-in-one database makes agents smarter, easier to run, and more stable.

A simple, fast and versatile Datalog database

VectorRAG.Net is a .NET-native high-performance vector database library for semantic search and RAG (Retrieval-Augmented Generation). Core search is based on Random Hyperplane LSH candidate generation with exact rerank by dot/cosine.

Fast search engine on object storage, with full text search, vectors, and SQL, natively on Parquet.

Git for Agent Memory: Copy-On-Write vector branching for embedded multi-agent memory (83x faster, 3000x smaller snapshots)

PostgreSQL-compatible SQL, graph, and vector database built from scratch in Rust.

Uni is a modern, embedded database that combines property graph (OpenCypher), vector search, and columnar storage (Lance) into a single, cohesive engine. It is designed for applications requiring local, fast, and multimodal data access, backed by object storage (S3/GCS) durability.

Embedded on-device vector database for AI agent memory and local RAG — disk-based HNSW in an LSM-tree, C++/Python, optimized for low memory footprint

Comparing LanceDB and Elasticsearch for full-text search and vector search performance

A hex-native embedded database for Go. Morton keys, native ring scans, seams (contradictions), MVCC, provenance, and optional HNSW embeddings. Built from scratch for lattice-addressed memory.

Absurdly fast embedded graph database with built-in vector search. Rust core, Node.js and Python connectors, GQL, graph algorithms, all in-process with no server.

Embedded database for agentic memory — relational, graph, and vector under unified MVCC transactions

High-performance, Hardware-First Vector Database engine built in Zig and Go. Sub-millisecond HNSW search with 64-bit metadata filtering and 1.8MB binary footprint.

🧠 Predictable, embedded multimodal vector database & offline RAG engine for Edge AI (ARM64 / Zero-OOM). Built in C++20.

KoutenDB: locality-aware NoSQL document/vector database built around rings and orbit-inspired retrieval