#vector-search

For developers, who are building real-time data-driven applications, Redis is the preferred, fastest, and most feature-rich cache, data structure server, and document and vector query engine.

Fast, Accurate, Lightweight Python library to make State of the Art Embedding

Fast Open-Source Search & Clustering engine × for Vectors & Arbitrary Objects × in C++, C, Python, JavaScript, Rust, Java, Objective-C, Swift, C#, GoLang, and Wolfram 🔍

Official Python SDK for the Pinecone vector database

Qdrant - High-performance, massive-scale Vector Database and Vector Search Engine for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/

Cross-platform persistent memory MCP for Codex, Gemini CLI, Claude Code, and other local MCP hosts. 36 cited neuroscience mechanisms, local-first SQLite/PostgreSQL, hybrid retrieval, decay-based consolidation, and reproducible benchmarks. Claude adds optional automatic lifecycle hooks.

Python client for Qdrant vector search engine

Official Weaviate TypeScript Client

A vector index built on TurboQuant, written in Rust with Python bindings

Rust client for Qdrant vector search engine

Real-time monitoring, slowlog analysis, and audit trails for Valkey and Redis

Open-source context retrieval layer for AI agents

MoFlo — an opinionated, local-first AI agent orchestration toolkit for Claude Code: semantic memory, learned routing, gates, and spells. No API keys, no cloud, works out of the box.

Rust library for generating vector embeddings, reranking locally!