GitButler

Visual Git client with built-in collaboration

GitKraken is a cross-platform visual Git client providing an intuitive graph visualization of repository history, branches, and merges. Features include drag-and-drop branch management, interactive rebase, merge conflict editor, built-in code editor, GitFlow support, and integrations with GitHub, GitLab, Bitbucket, and Azure DevOps. Includes GitLens for VS Code providing inline blame annotations, code authorship, and commit history. Free for public repos, paid for private repositories.

Simple terminal UI for git

Terminal-based Git UI that provides an intuitive, interactive interface for Git operations without memorizing commands. Features staging/unstaging hunks and lines, interactive rebase with drag-and-drop, conflict resolution, commit graph visualization, cherry-picking, branch management, stash operations, and custom commands. Navigate with keyboard shortcuts in a panel-based layout. Integrates with your existing Git config. 55K+ GitHub stars. The go-to TUI for Git users who prefer the terminal.

Most popular VS Code Git extension with 30M+ installs

GitLens is the most-installed Git extension for VS Code with over 30 million installs. It supercharges Git inside the editor with inline blame annotations, rich commit history visualization, file and line history, AI-powered commit summaries, and interactive rebase tools. Pro features include GitKraken-powered team analytics and visual diff tools. Maintained by GitKraken.

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.

Reusable KV cache infrastructure for scalable LLM inference

Open-source KV cache management layer that persists, offloads and reuses model key-value caches across requests and serving engines to reduce repeated prefill work and improve inference throughput.