Python framework for horizontally-scalable, agent-native apps. A three-tier cache — SQLite, NATS KV, PostgreSQL — keeps state coherent across pods. Observable by default.
Scenery — one CLI tool for building, running, inspecting, and debugging Go backends. Local-first runtime, APIs, logs, traces, DB tools, generated clients, and AI agent skills included.
A set of C# libraries for streamlined microservice development: audit, caching, outbox, CAP, MassTransit (events & config), idempotency, specifications, security, and other useful utilities. Packages: https://www.nuget.org/profiles/dex
Python dictionary with Redis as backend, built for large datasets. Simplifies Redis operations for large-scale and distributed systems. Supports various data types, namespacing, pipelining, and expiration.
Simplifies asynchronous and synchronous message handling with support for buses, handlers, channels, and consumers. Build scalable, decoupled applications with ease and reliability.