Agentic QE Fleet is an open-source AI-powered QA/QE platform designed for use with Coding Agents (works best with Claude Code) featuring specialized agents and skills to support testing activities for a product at any stage of the SDLC. Free to use, fork, build, and contribute. Based on the Agentic QE Framework created by Dragan Spiridonov.
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.
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.
A pure-Go, production-grade implementation of Yjs. Runs real collaborative apps: a horizontally-scaling, Hocuspocus-compatible websocket server with versioned persistence and compaction. Hardened by differential fuzzing and a byte-level conformance suite. Also embeddable on iOS/Android via gomobile.
Tango provides a way to compute the changed targets for a given base and head and conflict graph. Uber's SubmitQueue relies on it to get changed targets to speculate the requests.
Golem Cloud is the agent-native platform for building AI agents and distributed applications that never lose state, never duplicate work, and never require you to build infrastructure.
Backend-agnostic caching for Python — intent-based decorators with circuit breaker, distributed locking, Prometheus metrics, and optional zero-knowledge AES-256-GCM encryption, on a Rust-powered core. Zero-config L1 in-memory; scales to Redis, Memcached, File, or CacheKit Cloud.
Autonomous software factory. Give it a GitHub issue, a spec or a one-line task; get back a pull request with a signed receipt anyone can re-check offline. Runs on your machine with your own keys: Claude, Codex, OpenCode.