zunor/paro

A lightweight embedded database engine that natively fuses vector search, graph, and document-oriented metadata within a single storage kernel — ready to use the moment data is written.

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.

LiteGraph is a multi-modal AI data platform - a property graph with relational, vector, and MCP support, to power knowledge and AI persistence and retrieval

A @ClickHouse fork that supports high-performance vector search and full-text search.

The one data index for your agentic applications

Embedded single-file knowledge graph database with vector search and full-text search for AI/RAG apps

The memory & storage engine for AI agents. Multi-model, edge-to-cloud, PostgreSQL-compatible.

RushDB is a graph + vector database and memory layer for AI agents. Push any JSON, get typed, searchable, relationship-aware records back — no schema, no migrations. Built on Neo4j.

Multi-Modal Database replacing MongoDB, Neo4J, and Elastic with 1 faster ACID solution, with NetworkX and Pandas interfaces, and bindings for C 99, C++ 17, Python 3, Java, GoLang 🗄️