1.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.
+731 stars
from 16,609 · score 6.60
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8 repositories by Attention Score · Oct 27, 2026 – Nov 2, 2026 (UTC)
2.StarTrail-org / LEANN
[MLsys2026 Best Paper]: https://arxiv.org/abs/2506.08276. RAG on Everything with LEANN. Enjoy 97% storage savings while running a fast, accurate, and 100% private RAG application on your personal device.
+639 stars
from 13,106 · score 6.46
3.milvus-io / milvus
Milvus is a high-performance, cloud-native vector database built for scalable vector ANN search
+75 stars
from 46,476 · score 4.33
4.RyanCodrai / turbovec
A vector index built on TurboQuant, written in Rust with Python bindings
+27 stars
from 17,424 · score 3.33
5.alibaba / zvec
A lightweight, lightning-fast, in-process vector database
+23 stars
from 16,148 · score 3.18
6.unum-cloud / USearch
Fast Open-Source Search & Clustering engine × for Vectors & Arbitrary Objects × in C++, C, Python, JavaScript, Rust, Java, Objective-C, Swift, C#, GoLang, and Wolfram 🔍
+14 stars
from 4,354 · score 2.71
7.chatchat-space / Langchain-Chatchat
Langchain-Chatchat（原Langchain-ChatGLM）基于 Langchain 与 ChatGLM, Qwen 与 Llama 等语言模型的 RAG 与 Agent 应用 | Langchain-Chatchat (formerly langchain-ChatGLM), local knowledge based LLM (like ChatGLM, Qwen and Llama) RAG and Agent app with langchain
+7 stars
from 38,704 · score 2.08
8.aiqualitylab / ai-natural-language-tests
Enterprise-grade platform to generate and execute Cypress, Playwright, WebdriverIO, and Appium end-to-end tests from natural language requirements. (Appium is experimental and requires external mobile infrastructure.)
+2 stars
from 25 · score 1.10