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1–19 of 19 · Most stars

Codespaces but open-source, client-only and unopinionated: Works with any IDE and lets you use any cloud, kubernetes or just localhost docker.

Manage local application configuration files using templates and data from etcd or consul

s3git: git for Cloud Storage. Distributed Version Control for Data. Create decentralized and versioned repos that scale infinitely to 100s of millions of files. Clone huge PB-scale repos on your local SSD to make changes, commit and push back. Oh yeah, it dedupes too and offers directory versioning.

  • cloud-storage
  • git
  • version-control
  • decentralized

Run:ai is the AI workload orchestration platform for Kubernetes. This monorepo contains the control plane services, in-cluster Kubernetes operator/controllers, shared libraries and clients, the installer, and the local dev environment.

Kubernetes operator for self-hosted LLM inference across a heterogeneous GPU fleet: NVIDIA CUDA, AMD Vulkan, and Apple Silicon Metal. Runtimes: llama.cpp, vLLM, TGI, mlx-server. Multi-GPU sharding, model caching, OpenAI-compatible endpoints. Apache-2.0, run across homelab and on-prem fleets, actively developed.

Don't install Node, Go, ... locally - use containers you define within your project. If you have a new machine / other contributors you just have to install docker and envcli to get started.

A developer CLI tool that manages .env files, detects secret leaks, syncs env drift across teammates, and validates environment parity between local/staging/prod all from your terminal. Written in Go.