Browse: Databases
Local-first memory plugin for OpenClaw AI agents. LLM-powered extraction, plain markdown storage, hybrid search via QMD. Gives agents persistent long-term memory across conversations.
Local-first memory plugin for OpenClaw AI agents. LLM-powered extraction, plain markdown storage, hybrid search via QMD. Gives agents persistent long-term memory across conversations.
The documentation for SurrealDB, powered by Astro
Memory library for building stateful agents
mkdir beats vector DB. B-tree NeuronFS: 0-byte folders govern AI — ₩0 infrastructure, ~200x token efficiency. OS-native constraint engine for LLM agents.
LlamaIndex is the leading document agent and OCR platform
code generator sbt plugin from database schema
Website for the Weaviate vector database
Your Very Own Agent: The Ultimate, Complete Edition
The PHP Agentic Framework to build production-ready AI driven applications. Connect components (LLMs, vector DBs, memory) to agents that can interact with your data. With its modular architecture it's
✨ A curated list of awesome community resources, integrations, and examples of Redis in the AI ecosystem.
AI + Data, online. https://vespa.ai
Developer-friendly OSS embedded retrieval library for multimodal AI. Search More; Manage Less.
Memory that remembers the story not just the facts. Three layer sentence graph for AI agents -> Facts, Episodes, raw Sentences. One DB. Zero config.
Excalibase GraphQL instantly turns your database into a GraphQL API. Built with Spring Boot, it supports schema discovery, subscriptions, and type handling — no manual resolvers needed.
One API for 20+ LLM providers, your databases, and your files — self-hosted, open-source AI gateway with RAG, voice, and guardrails.
RAG pipeline security testing toolkit - 27 techniques across 6 kill chain phases, mapped to MITRE ATLAS
Umple: Model-Oriented Programming - embed models in code and vice versa and generate complete systems. Save yourself lots of coding. Do it collaboratively online in UmpleOnline, in an IDE or on the co
Knowledge Engine for AI Agent Memory in 6 lines of code
OpenViking is an open-source context database designed specifically for AI Agents(such as openclaw). OpenViking unifies the management of context (memory, resources, and skills) that Agents need throu
A lightweight, embeddable vector database library for Go AI projects.
Data Infrastructure providing a declarative, incremental approach for multimodal AI workloads.
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.
Deploy any AI model, agent, database, RAG, and pipeline locally or remotely in minutes
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.
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 c
Endee.io – A high-performance vector database, designed to handle up to 1B vectors on a single node, delivering significant performance gains through optimized indexing and execution. Also available i
A lightweight, lightning-fast, in-process vector database
Milvus is a high-performance, cloud-native vector database built for scalable vector ANN search
The memory system your AI agent deserves. 4-stage hybrid retrieval — Vector + BM25 + Knowledge Graph + Neural Reranker — in <150ms. Self-hosted, $0/query, built for agents that need to actually rememb
Jupyter Notebooks to help you get hands-on with Pinecone vector databases
Uni is a modern, embedded database that combines property graph (OpenCypher), vector search, and columnar storage (Lance) into a single, cohesive engine. It is designed for applications requiring loca
Open Source AI Platform - AI Chat with advanced features that works with every LLM
LLM-powered framework for deep document understanding, semantic retrieval, and context-aware answers using RAG paradigm.
A unified SDK for IronCore encryption operations including vector encryption for AI data
A lightning-fast search engine API bringing AI-powered hybrid search to your sites and applications.
RAG (Retrieval-augmented generation) ChatBot that provides answers based on contextual information extracted from a collection of Markdown files.
A comprehensive toolkit for deploying production-ready Generative AI infrastructure on Amazon EKS. Includes pre-configured components for: 🚀 AI Gateway (LiteLLM) 🤖 LLM Serving (vLLM, SGLang, Ollama
Advanced AI Real Estate Assistant using RAG, LLMs, and Python. Features market analysis, property valuation, and intelligent search.
A curated list of awesome works related to high dimensional structure/vector search & database
The Multi-Agent Custom Automation Engine Solution Accelerator is an AI-driven system that manages a group of AI agents to accomplish tasks based on user input. Powered by Microsoft Agent Framework, Az
AI Agent Development Platform - Supports multiple models (OpenAI/DeepSeek/Wenxin/Tongyi), knowledge base management, workflow automation, and enterprise-grade security. Built with Flask + Vue3 + LangC
RAPTOR (Robust AI-Powered Toolkit for Operational Robots) is an AI-native Content Insight Engine that transforms passive media storage into an intelligent knowledge platform through automated analysis
SQL-first lifecycle toolkit for testing, inspecting, and evolving database applications.
Redis Vector Library (RedisVL) -- the AI-native Python client for Redis.
The official TypeScript/Node client for the Pinecone vector database
📑 PageIndex: Document Index for Vectorless, Reasoning-based RAG
NextPlaid, ColGREP: Multi-vector search, from database to coding agents.
Open-source framework for building AI-powered apps in JavaScript, Go, and Python, built and used in production by Google
Python SDK for Milvus Vector Database
The Go client for Chroma vector database
OasisDB: A minimal and lightweight vector database
Graph RAG with pure vector search, achieving SOTA performance in multi-hop reasoning scenarios.
SQLite-Vector is a cross-platform, ultra-efficient SQLite extension that brings vector search capabilities to your embedded database.
OramaCore is the complete runtime you need for your projects, answer engines, copilots, and search. It includes a fully-fledged full-text search engine, vector database, LLM interface, and many more u
Modelence is a full-stack framework for building production web apps with a built-in database, authentication and monitoring. Modelence is opinionated and AI agent-first, which means it's optimized fo
Swift-based vector database for on-device RAG using MLTensor and MLX Embedders
Convert SVG and Android Vector Drawables (XML) into Jetpack Compose ImageVector code. CLI, Gradle plugin, and online playground. Kotlin Multiplatform supported.
C# .NET NOSQL ( key value, object store embedded TextSearch SemanticSearch Vector layer ) ACID multi-paradigm database management system.
Vector search engine inside Milvus, integrating FAISS, HNSW, DiskANN.
Vectra is a local vector database for Node.js with features similar to pinecone but built using local files.
OpenCode plugin that gives coding agents persistent memory using local vector database
PowerMem: Your AI-Powered Long-Term Memory — Accurate, Agile, Affordable. Also friendly support for the OpenClaw Memory Plugin.
A modern desktop application for exploring, managing, and analyzing vector databases
AI-native HTAP database with Git-for-Data and built-in vector search, serving as the data and memory backbone for intelligent agents and applications.
The Linux OS for AI Agents — Persistent memory, autonomy, and time-awareness for any LLM. Own the state. Rent the intelligence.
HelixDB is an open-source graph-vector database built from scratch in Rust.
Database for Android and JVM - first and fast, lightweight on-device vector database
:sparkles: :dna: Turing ES - Enterprise Search, Semantic Navigation, Chatbot using Search Engine and Generative AI.
The AI-native database built for LLM applications, providing incredibly fast hybrid search of dense vector, sparse vector, tensor (multi-vector), and full-text.
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/
High-performance open-source in-memory graph database for GraphRAG, AI memory, agentic AI, and real-time graph analytics. Cypher-compatible, built in C++.
Official repository of the Seismic library.
The AI-Native Search Database. Unifies vector, text, structured and semi-structured data in a single engine, enabling hybrid search and in-database AI workflows.
High-Performance Engine for Multi-Vector Search
A lock-free, in-memory fuzzy search engine for Kotlin Multiplatform. L2-normalized sparse vector embeddings with O(1) cosine similarity — handles typos, transpositions, and blind continuation. Zero-al
ArcadeDB Multi-Model Database, one DBMS that supports SQL, Cypher, Gremlin, HTTP/JSON, MongoDB and Redis. ArcadeDB is a conceptual fork of OrientDB, the first Multi-Model DBMS. ArcadeDB supports Vecto
💡 All-in-one AI framework for semantic search, LLM orchestration and language model workflows
Scalable graph analytics database powered by a multithreaded, vectorized temporal engine, written in Rust
Production-ready RAG Framework (Python/FastAPI). 1-line config swaps: 6 Vector DBs (Weaviate, Pinecone, Qdrant, ChromaDB, pgvector, MongoDB), 5 LLMs (Gemini, OpenAI, Claude, Ollama, OpenRouter). OpenA
Scalable, fast, and disk-friendly vector search in Postgres, the successor of pgvecto.rs.
🤖 Build a smart AI assistant that learns from any website using a Retrieval-Augmented Generation framework with local models powered by Ollama.
JavaScript/Typescript SDK for Qdrant Vector Database
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,
🔧 Enable seamless Android app hooking with Vector, a Zygisk module offering a consistent API for module developers and users, built on the LSPlant framework.
This bridge integrates Ollama into any chat interface and lets you build your own multi-agent pipeline, including a built-in memory database.
A minimal, lightweight structured data store designed for small applications, scripts and automation workflows. Built for simplicity, portability and low overhead.
A query and indexing engine for Redis, providing secondary indexing, full-text search, vector similarity search and aggregations.
🔍 Empower data scientists with DeepAnalyze, a tool that leverages large language models for automated data analysis and insights generation.
🧠 Capture and manage your team's knowledge effortlessly with Eywa, ensuring no valuable memory is ever lost.
🔍 Implement hybrid search using Vespa and FastAPI, blending BM25 and dense semantic retrieval for efficient, accurate information retrieval.
🛒 Build a leading-edge e-commerce recommendation system using RAG architecture, Groq Llama 3, LangChain, and AstraDB, deployed on Kubernetes for scalability.
🚀 Build and scale reliable Retrieval-Augmented Generation (RAG) systems with this curated collection of tools, frameworks, and best practices.
🤖 Enhance chatbot accuracy with a self-correcting RAG system that ingests documents, retrieves data, and evaluates responses in real-time.
🗓️ Simplify booking with this AI service agent that processes queries, finds local options, and offers immediate slots and notifications.
Self-hostable RAG platform - document ingestion, embedding, and vector search behind a simple REST API
The first cinematic 3D memory layer for the AI Era. Unify ChatGPT, Claude, and Gemini into a pulsing second brain. Real-time semantic extraction & 3D visualization.
Superagent protects your AI applications against prompt injections, data leaks, and harmful outputs. Embed safety directly into your app and prove compliance to your customers.
🤖 Recommend TV shows by matching favorites, averaging embeddings, and finding similar titles using fuzzy search and vector similarity.
⚡ Optimize vector searches with a hyper-efficient cache that uses machine learning for faster, smarter data access and reduced costs.
📷 Transform any camera into ROS2 image topics for seamless integration with robotic systems and effective VLA model deployment.
🧠 Explore a FAIR-compliant knowledge graph that analyzes ancient debates on free will, fate, and moral responsibility from the 6th century BCE to CE.
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📰 Fetch and summarize news articles locally using a Retrieval-Augmented Generation system powered by AI models for efficient information access.
🛠️ Simplify tool calls for any LLM with AnyToolCall, an OpenAI-compatible middleware that bypasses native constraints through prompt injection.
🚀 Build memory and retrieval infrastructure for ReasonKit, enhancing data management and access for your applications with ease and efficiency.
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🤖 Build your own local Retrieval-Augmented Generation system for private, offline AI memory without ongoing costs or data privacy concerns.
📚 Learn from diverse sources with OmniLearnAI, an intelligent platform that combines documents, videos, and more, all with reliable citations.
🛠️ Simplify your tasks with MineContext, an open-source AI tool that provides context-aware support for clarity and efficiency in work and study.
Enable AI agents to retain memory across sessions using persistent storage designed for continuous context retention.
Detect physical hits on your laptop and play audio responses using sensors in a lightweight, cross-platform binary.
Transform Claude into a local AI assistant for Mac that controls apps, manages tasks, and remembers context across sessions.
Store, consolidate, and recall coding agent memories with provenance tracking using SQLite and FAISS for fast, structured knowledge access.
Build semantic vector databases from code and docs to enable AI agents to understand and navigate your entire codebase effectively.
Provide context-based, accurate answers to syllabus questions using AI powered by Retrieval-Augmented Generation for effective student learning.
Augment any database with VeriSimDB octad capabilities — drift detection, provenance, temporal versioning, modality overlays
The graph-native hybrid retrieval engine for AI and GraphRAG. Graph + Vector + Full-Text in a single transactional engine.
📄 Enable smart document and data search with AI-powered chat, vector search, and SQL querying across multiple file formats.
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Deliver daily Chinese AI news summaries by filtering top global tech blog articles into concise, valuable insights for quick reading.
Build and run cross-platform event-driven rules and actions with a zero-dependency, lightweight engine for games, web, and mobile apps.
Syllabus-aware RAG study assistant for university students. Answers strictly from your own notes & PDFs, unit-scoped retrieval, cross-encoder reranking, and a hallucination gate — built to help studen
KAG is a logical form-guided reasoning and retrieval framework based on OpenSPG engine and LLMs. It is used to build logical reasoning and factual Q&A solutions for professional domain knowledge base
A multi-modal vector database that supports upserts and vector queries using unified SQL (MySQL-Compatible) on structured and unstructured data, while meeting the requirements of high concurrency and
Demo RAG API (FastAPI, OpenAI, ChromaDB, Docker) automatically generated using the OpenAI Codex CLI tool. Highlights Codex's capability for rapid, complex application development.