memvid/memvid
Memory layer for AI Agents. Replace complex RAG pipelines with a serverless, single-file memory layer. Give your agents instant retrieval and long-term memory.
A lightweight, lightning-fast, in-process vector database
$ git clone https://github.com/alibaba/zvec.gitMemory layer for AI Agents. Replace complex RAG pipelines with a serverless, single-file memory layer. Give your agents instant retrieval and long-term memory.
Plug-and-play memory for LLMs in 3 lines of code. Add persistent, intelligent, human-like memory and recall to any model in minutes.
π PageIndex: Document Index for Vectorless, Reasoning-based RAG
Weaviate is an open-source vector database that stores both objects and vectors, allowing for the combination of vector search with structured filtering with the fault tolerance and scalability of a cloud-native databaseβ.
World's first open-source enterprise world model.
Fast Open-Source Search & Clustering engine Γ for Vectors & Arbitrary Objects Γ in C++, C, Python, JavaScript, Rust, Java, Objective-C, Swift, C#, GoLang, and Wolfram π
Data from GitHub Β· snapshot Sep 24, 2026