Vector Databases & AI Memory
Where agents remember: vector stores, memory layers and similarity search engines.
One portable memory layer for every AI agent: local-first, Markdown-native, user-owned, and self-evolving across apps, tools, and workflows.
🌌 A complete search engine and RAG pipeline in your browser, server or edge network with support for full-text, vector, and hybrid search in less than 2kb.
The Fastest Distributed Database for Transactional, Analytical, and AI Workloads.
Self-evolving memory OS for LLM & AI Agents: ultra-persistent memory, hybrid-retrieval, and cross-task skill reuse, with 35.24% token savings
Data Agent Ready Warehouse : One for Analytics, Search, AI, Python Sandbox. — rebuilt from scratch. Unified architecture on your S3.
Deeplake is AI Data Runtime for Agents. It provides serverless postgres with a multimodal datalake, enabling scalable retrieval and training.
Open Source Deep Research Alternative to Reason and Search on Private Data. Written in Python.
MariaDB server is a community developed fork of MySQL server. Started by core members of the original MySQL team, MariaDB actively works with outside developers to deliver the most featureful, stable, and sanely licensed open SQL server in the industry.
The AI search platform
Postgres with GPUs for ML/AI apps.
Julep — durable, composable AI agents. Flows that crash and resume, retry safely, and explain every step.
The end of web parsing. The beginning of scalable pixel-native search. link: https://pixelrag.ai/
Open-source framework for building AI-powered apps in JavaScript, Go, and Python, built and used in production by Google
A query and indexing engine for Redis, providing secondary indexing, full-text search, vector similarity search and aggregations.
Memory library for building stateful agents
OpenSquilla — Token-Efficient AI Agent with same budget, higher intelligence density
HelixDB is an OLTP graph-vector database built in Rust on Object Storage.
Your super agent for work: local-first, learn your working context in mins and never forget it.
MineContext is your proactive context-aware AI partner（Context-Engineering+ChatGPT Pulse）
Superduper: End-to-end framework for building custom AI applications and agents.
The AI-native database built for LLM applications, providing incredibly fast hybrid search of dense vector, sparse vector, tensor (multi-vector), and full-text.
CrateDB is a distributed and scalable SQL database for storing and analyzing massive amounts of data in near real-time, even with complex queries. It is PostgreSQL-compatible, and based on Lucene.
Local persistent memory store for LLM applications including claude desktop, github copilot, codex, antigravity, etc.
Universal memory layer for AI Agents. It provides scalable, extensible, and interoperable memory storage and retrieval to streamline AI agent state management for next-generation autonomous systems.
Enterprise-grade (40m+ LOC) codebase intelligence, zero-setup, local & private Plugin/Skill/Extension or MCP: hybrid semantic search, polyglot dependency graphs, symbol-level impact analysis & call-flow, interactive HTML viewer, cross-project & branch-aware search, DB/API/infra knowledge. 61% less tokens, 84% fewer calls, 37x faster. Cloud in beta.
The Best GUI for Milvus
Jupyter Notebooks to help you get hands-on with Pinecone vector databases
pingcap/autoflow is a Graph RAG based and conversational knowledge base tool built with TiDB Serverless Vector Storage. Demo: https://tidb.ai
编程导航 AI 开发实战新项目，基于 Spring Boot 3 + Java 21 + Spring AI 构建 AI 恋爱大师应用和 ReAct 模式自主规划智能体YuManus，覆盖 AI 大模型接入、Spring AI 核心特性、Prompt 工程和优化、RAG 检索增强、向量数据库、Tool Calling 工具调用、MCP 模型上下文协议、AI Agent 开发（Manas Java 实现）、Cursor AI 工具等核心知识。用一套教程将程序员必知必会的 AI 技术一网打尽，帮你成为 AI 时代企业的香饽饽，给你的简历和求职大幅增加竞争力。
Dealing with all unstructured data, such as reverse image search, audio search, molecular search, video analysis, question and answer systems, NLP, etc.