Flux

AI-powered API testing with traffic recording

Keploy is an open-source AI-powered testing platform that generates API, integration, and unit tests by recording real network traffic via eBPF. It captures API calls, database queries, and streaming events, then replays them as deterministic tests with auto-generated mocks — no code changes needed. Works across any language or framework with CI/CD pipeline integration and popular testing framework support including JUnit, PyTest, Jest, and Go-Test.

Lightweight self-hosted CI/CD engine for the Gitea stack

Woodpecker CI is a community-maintained open-source CI/CD engine forked from Drone CI, designed as the default continuous integration solution for self-hosted Git platforms like Gitea, Forgejo, and Codeberg. With simple YAML pipeline configuration, minimal resource usage (~100MB RAM), and Apache-2.0 licensing, it provides a lightweight alternative to Jenkins and GitHub Actions for developers who prefer infrastructure they control.

Visual regression testing for CI/CD pipelines

Argos CI is a visual regression testing platform that automatically catches unintended UI changes in CI/CD pipelines. It integrates with Playwright, Cypress, Storybook, and Puppeteer, featuring a stabilization engine that filters flaky pixel differences from genuine regressions. Used by teams at Meta and MUI for frontend quality gates.

Modern application delivery platform for Kubernetes

KubeVela is a CNCF incubating project that provides a modern application delivery platform built on Kubernetes and the Open Application Model. It abstracts away infrastructure complexity by letting developers define applications declaratively with components, traits, and policies, while platform teams manage delivery workflows. KubeVela supports multi-cluster deployment, canary rollouts, GitOps integration, and extensible addon system.

Heterogeneous CPU-GPU inference and SFT for large MoE models

Open-source framework for running and fine-tuning large Mixture-of-Experts models with heterogeneous CPU-GPU execution, optimized kernels, limited VRAM and SGLang or LLaMA-Factory integrations.

Official Kubernetes and Helm reference stack built on the vLLM inference engine

Official vLLM reference implementation for scaling the existing inference engine on Kubernetes with Helm, request routing, KV-cache offload, autoscaling and Prometheus/Grafana observability.

Distributed inference orchestration above vLLM, SGLang and TensorRT-LLM

Open-source, datacenter-scale orchestration layer that coordinates vLLM, SGLang and TensorRT-LLM across nodes with disaggregated serving, KV-aware routing, multi-tier cache management and automatic scaling.

Open-source GPU control plane for scalable AI model serving

Open-source GPU cluster manager that configures vLLM, SGLang, TensorRT-LLM or custom engines, serves models through compatible APIs, and provisions SSH-accessible GPU instances across on-premises, Kubernetes and cloud environments.

Disaggregated KV cache storage and transfer for LLM serving

Open-source infrastructure for disaggregated LLM serving that pools KV caches across prefill and decode workers, with high-performance transfer, distributed storage and integrations for vLLM and SGLang.

Run AI coding agents in GitHub Actions from Markdown

Open-source GitHub CLI extension for defining repository automations in Markdown and running Copilot, Claude Code, Codex, Gemini or custom agents inside hardened GitHub Actions workflows.