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.
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TiDB is built for agentic workloads that grow unpredictably, with ACID guarantees and native support for transactions, analytics, and vector search. No data silos. No noisy neighbors. No infrastructure ceiling.
- distributed-database
- distributed-transactions
- tidb
- database
A modern replacement for Redis and Memcached
Open Source alternative to Algolia + Pinecone and an Easier-to-Use alternative to ElasticSearch ⚡ 🔍 ✨ Fast, typo tolerant, in-memory fuzzy Search Engine for building delightful search experiences
- search-engine
- search
- typo-tolerance
- site-search
Dolt – Git for Data
A lightweight, lightning-fast, in-process vector database
Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk
- c-plus-plus
- python
- nearest-neighbor-search
- locality-sensitive-hashing
Garnet is a remote cache-store from Microsoft Research that offers strong performance (throughput and latency), scalability, storage, recovery, cluster sharding, key migration, and replication features. Garnet can work with existing Redis clients.
- cache
- cache-storage
- cluster
- concurrent
An open-source, self-hosted personal AI note tool prioritizing privacy, built using TypeScript .
Native port of Redis for Windows. Redis is an in-memory database that persists on disk. The data model is key-value, but many different kind of values are supported: Strings, Lists, Sets, Sorted Sets, Hashes, Streams, HyperLogLogs. This repository contains unofficial port of Redis to Windows.
- redis
- redis-windows
- redis-windows-native
- redis-windows-installer
Deeplake is AI Data Runtime for Agents. It provides serverless postgres with a multimodal datalake, enabling scalable retrieval and training.
An in-memory key:value store/cache (similar to Memcached) library for Go, suitable for single-machine applications.
- go
- cache
- library
A high performance memory-bound Go cache
- cache
- performance
- golang
- go
Hazelcast is a unified real-time data platform combining stream processing with a fast data store, allowing customers to act instantly on data-in-motion for real-time insights.
- java
- hazelcast
- in-memory
- big-data
Immutable database and Datalog query engine for Clojure, ClojureScript and JS
- clojure
- database
- memory-database
- clojurescript
Asynchronous Python framework for event-driven services. A thin client for Kafka, RabbitMQ, NATS, Redis and MQTT with full access to native broker features, plus AsyncAPI docs, in-memory tests and observability out of the box.
Apache Ignite
- distributed-sql-database
- iot
- osgi
- network-client
MapDB provides concurrent Maps, Sets and Queues backed by disk storage or off-heap-memory. It is a fast and easy to use embedded Java database engine.
BuntDB is an embeddable, in-memory key/value database for Go with custom indexing and geospatial support
Computing with Python functions.
- python
- parallel-computing
- caching
- multiprocessing
Get your data in RAM. Get compute close to data. Enjoy the performance.
- tarantool
- database
- transactions
- in-memory
In-memory dimensional time series database.
OP Vault ChatGPT: Give ChatGPT long-term memory using the OP Stack (OpenAI + Pinecone Vector Database). Upload your own custom knowledge base files (PDF, txt, epub, etc) using a simple React frontend.
- chatgpt
- go
- golang
- knowledge-base
Surging is a micro-service engine that provides a lightweight, high-performance, modular RPC request pipeline. support Event-based Asynchronous Pattern and reactive programming.
- microservices
- apigateway
- surging
- rabbitmq