# Open Source

Lightweight Kubernetes distribution for edge, IoT, and development

k3s is a CNCF Sandbox lightweight Kubernetes distribution packaged as a single binary under 100MB. Created by Rancher Labs and now maintained by SUSE, it strips non-essential components and bundles containerd, Flannel, CoreDNS, and Traefik into a minimal but fully conformant K8s distribution. Ideal for edge computing, IoT, ARM devices, and local development environments.

Modern load testing for developers

k6 is an open-source load testing and performance testing tool developed by Grafana Labs. Developers write performance tests in JavaScript and execute them on a high-performance Go runtime capable of generating thousands of virtual users per machine. Features a CLI-first workflow, cloud-based test execution, and integrations with Grafana dashboards — making performance testing as accessible as writing unit tests.

The fast, feature-rich terminal

GPU-accelerated terminal emulator written in C and Python, focused on performance and features. Supports ligatures, true color, graphics protocol for displaying images/plots inline, tabs, splits, and remote control via IPC. Highly configurable via a plain text config file. Cross-platform on macOS and Linux. Features a kitten framework for writing terminal programs in Python. Known for innovation in terminal graphics. 26K+ GitHub stars and a dedicated power-user community.

Git-like version control for data lakes and object storage

lakeFS is an open-source platform that brings Git-like branching, committing, and merging to data lakes and object storage. It works on top of S3, GCS, Azure Blob, and MinIO, enabling teams to create isolated data branches for experimentation, run CI/CD for data pipelines, and maintain full data lineage. Acquired DVC in 2025, uniting data version control for both small and enterprise-scale workloads.

AI agent skill that researches topics across social platforms and web

last30days-skill is an agent skill for Claude Code and other AI coding agents that researches topics by scanning social platforms, news sites, and web sources from the past 30 days. It aggregates recent discussions, launches, and community sentiment into actionable research summaries. With 17,400 GitHub stars and MIT license, it has become one of the most popular agent skills in the emerging ACP ecosystem.

Terminal UI for Docker

Terminal UI for Docker and Docker Compose that provides an interactive dashboard for managing containers, images, volumes, and networks without memorizing CLI commands. Features real-time logs, stats (CPU/memory), container shell access, bulk cleanup of unused resources, and Docker Compose service management. Navigate with keyboard shortcuts in a panel-based layout. By the creator of lazygit. 40K+ GitHub stars. The fastest way to manage Docker from the terminal.

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.

Hot-swap between local LLM models via OpenAI-compatible API

llama-swap is an open-source tool that manages multiple local LLM models behind a single OpenAI-compatible API endpoint. It automatically loads and unloads models on demand, letting developers hot-swap between different models without restarting services. With 3.1K+ GitHub stars, it solves the common pain point of running multiple specialized models on limited hardware.

High-performance local LLM inference in C/C++

llama.cpp is the foundational C/C++ library with 75K+ GitHub stars powering local LLM inference on consumer hardware. Provides optimized CPU and GPU inference for quantized models in GGUF format. Supports LLaMA, Mistral, Phi, Gemma, and most open-weight families. Features 2-8 bit quantization for reduced memory, multi-GPU support, context extension, grammar-constrained output, and an OpenAI-compatible API server. The engine behind Ollama and LM Studio.

Kubernetes-native distributed LLM inference stack

llm-d is an open-source Kubernetes-native stack for distributed LLM inference with cache-aware routing and disaggregated serving. It separates prefill and decode stages across different GPU pools for optimal resource utilization, routes requests to nodes with warm KV caches, and integrates with vLLM as the serving engine. Apache-2.0 licensed with 2,900+ GitHub stars.

Composable agent orchestration via MCP servers

mcp-agent is an open-source framework with 8K+ GitHub stars for building AI agents that leverage MCP (Model Context Protocol) servers as composable tool providers. Agents connect to multiple MCP servers simultaneously, gaining access to diverse capabilities without custom integrations. Supports multi-agent workflows, parallel tool execution, and automatic server discovery. Designed to make MCP the universal interface between AI agents and external tools, databases, and services.

Protocol bridge converting MCP stdio transport to HTTP/SSE endpoints

mcp-proxy is a protocol bridge that converts MCP servers using stdio transport into HTTP and Server-Sent Events endpoints accessible over the network. This enables remote MCP server hosting, load balancing, and sharing servers across multiple AI clients. Supports both directions: wrapping stdio servers with HTTP and connecting to remote SSE servers through local stdio. Over 2,400 GitHub stars.

Fullstack MCP framework connecting any LLM to MCP servers

mcp-use is an open-source framework that enables any LLM to interact with MCP servers through a unified client interface. It bridges the gap between models that lack native MCP support and the growing ecosystem of MCP tools by providing automatic tool discovery, execution management, and multi-server orchestration. Supports both direct LLM connections and agent-based workflows. Over 9,000 GitHub stars.

The 100-line SWE agent that solves GitHub issues from your terminal

Radically minimal open-source SWE agent (~100 lines of Python) that uses nothing but bash to fix GitHub issues and assist in the command line, while scoring >74% on SWE-bench Verified.

Run local code inside your Kubernetes cluster without deploying

mirrord lets developers run local processes as if they were inside their Kubernetes cluster — intercepting network traffic, environment variables, and file access at the OS level without any deployment or configuration changes. Backed by $12.5M in seed funding with investors including Sentry's co-founder, it claims up to 98% faster iteration cycles and 30% fewer production bugs by eliminating the gap between local and cluster environments.

Polyglot dev tool version manager replacing asdf, nvm, pyenv

mise is a Rust-based polyglot development tool version manager that replaces asdf, nvm, pyenv, rbenv, and similar single-language version managers with one fast CLI. It manages runtime versions for Node.js, Python, Go, Rust, Terraform, and 900+ other tools from a single .mise.toml config file. mise also serves as a task runner with file watching, environment variable management, and monorepo support, making it a complete developer environment orchestrator with over 26,000 GitHub stars.

LSP-based AI code review agent backed by Y Combinator

mrge is a YC-backed AI code review agent that uses Language Server Protocol analysis to provide deep, context-aware pull request reviews. It goes beyond surface-level pattern matching by understanding project structure, type information, and cross-file dependencies. Integrates with GitHub and GitLab to deliver automated reviews that catch logic errors, security issues, and architectural inconsistencies.

ModelScope's fine-tuning framework supporting 600+ models

ms-swift is ModelScope's open-source framework for fine-tuning over 600 large language and multimodal models. It supports SFT, DPO, RLHF, LoRA, QLoRA, and full fine-tuning with a web UI and CLI interface. Optimized for the Chinese AI ecosystem with native ModelScope Hub integration alongside Hugging Face support. Over 13,500 GitHub stars.

Community MCP server for n8n node knowledge, workflow drafting, and validation

n8n-MCP is an independent, MIT-licensed community server that gives MCP-compatible assistants structured access to n8n node documentation, properties, templates, and workflow validation helpers. It is distinct from the existing n8n product page and covers the MCP layer used from clients such as Claude, Cursor, Windsurf, and Codex.

AI data IDE for 10x faster data work

nao is an open-source, Y Combinator-backed analytics agent framework for building and deploying AI-powered analytics assistants that query data, generate insights, and interact with data warehouses through natural language. Makes data analysis accessible to non-technical users with a framework where developers expose tables, metrics, and semantic layers — then the agent answers business questions in plain English with SQL and visualizations.

Build native Node.js addons in Rust via Node-API

napi-rs is a framework for building compiled Node.js native addons in Rust through the Node-API interface, eliminating node-gyp and C++ toolchains. It provides async/await with Promise integration, extensive type mappings between Rust and JavaScript, and cross-compilation to Windows, macOS, Linux, FreeBSD, and Android across x64, ARM, and RISC-V. Used by major JS tooling projects, napi-rs enables Rust-speed performance in Node.js apps.

Google's vulnerability scanner using the OSV database

OSV-Scanner is Google's official open-source vulnerability scanner that checks your project's dependencies against the OSV.dev database — the largest open vulnerability database covering all major ecosystems. Written in Go, it supports lockfiles from npm, pip, Maven, Cargo, Go modules, and more, providing actionable remediation guidance and CI/CD integration for automated security scanning.

PostgreSQL administration tool

The most popular open-source administration and management tool for PostgreSQL, used by millions of DBAs and developers worldwide. Features a powerful SQL query editor with auto-completion, visual query builder (graphical EXPLAIN), server dashboard with real-time monitoring, backup/restore wizards, ERD generator for schema visualization, and user/role management. Runs as a web application accessible via browser. Supports PostgreSQL 12+ and is available on Windows, macOS, Linux, and Docker.

BM25 full-text search extension for PostgreSQL

pg_textsearch is a PostgreSQL extension from Timescale that adds BM25 relevance-ranked full-text search directly inside Postgres. Using the same ranking algorithm as Elasticsearch and Lucene, it provides search-engine quality results without requiring a separate search cluster — particularly valuable for developers building RAG pipelines on PostgreSQL who want semantic-quality ranking alongside pgvector.

Lossy image-token proxy for reducing Claude Code request context costs

pxpipe is a local proxy for Claude Code and compatible agent workflows that turns bulky request context—system prompts, tool docs, old history, code and JSON—into dense PNG image blocks before forwarding the call. The project README reports workload-dependent 59–70% end-to-end bill reduction, while warning exact byte values should stay as text.

AI-powered test generation agent for automated code coverage improvement

qodo-cover (formerly Cover Agent) is an open-source AI agent that automatically generates meaningful unit tests to improve code coverage. It analyzes existing code and test patterns to produce tests that follow project conventions and target uncovered branches. Uses an iterative approach where generated tests are verified by running them, discarding those that fail. MIT licensed with over 5,300 GitHub stars.

Continuous local code-review loops for commits produced by AI coding agents

roborev is an MIT-licensed local review system that checks every commit in the background, stores findings in a review queue, and feeds actionable issues back into AI coding sessions. Git hooks, a TUI, branch and dirty-tree analysis, Codex and Claude agent hooks, plus iterative fix/refine commands turn review into a continuous agent workflow.

Convert any screenshot or mockup into clean frontend code with AI vision.

screenshot-to-code is an open-source tool that converts screenshots, mockups, and Figma designs into clean, functional HTML, Tailwind CSS, React, or Vue code using AI vision models. Powered by GPT-4V, Claude, and Gemini, it supports video-to-code and iterative editing workflows, making it a rapid scaffolding tool for frontend developers who want to skip the pixel-translation step entirely.

Beautifully designed components

Copy-paste component library for React that puts you in full control — not a dependency, you own the code. Built on Radix UI primitives and Tailwind CSS for accessibility and styling. The most popular React component system in the ecosystem, setting the standard for how modern component libraries should be distributed and customized by developers.

CI-friendly database documentation generator

tbls is an open-source database documentation tool that automatically generates schema documentation in Markdown, with built-in linting to enforce documentation standards and coverage metrics for tables and columns. It supports 13+ databases including PostgreSQL, MySQL, BigQuery, Snowflake, MongoDB, and ClickHouse. Designed for CI integration with GitHub Actions support, tbls runs schema diff detection and documentation enforcement as part of automated pipelines.

Terminal AI chatbot — no API key required

Cross-platform terminal GPT client written in Go that provides free access to AI chatbots (KoboldAI, Blackbox AI, OpenAI) without API keys or account creation. Offers interactive multi-turn chat, shell command generation and execution, code generation, and image generation via Pollinations. Distributed as a single binary with no dependencies, making installation trivial on macOS, Linux, and Windows. Ideal for developers who want quick AI in the terminal without signup friction.

Terminal multiplexer

Terminal multiplexer that lets you run multiple terminal sessions inside a single window with splits, tabs (windows), and detachable sessions. Sessions persist after disconnecting — essential for remote server work via SSH. Features customizable key bindings, statusbar, scriptable via tmux commands, and copy mode for scrollback navigation. Extensive plugin ecosystem via TPM (Tmux Plugin Manager). The standard for terminal session management for 15+ years. Pre-installed on most Linux servers.

Meta's official PyTorch library for LLM fine-tuning

torchtune is Meta's official PyTorch-native library for fine-tuning large language models. It provides composable building blocks for training recipes covering LoRA, QLoRA, full fine-tuning, DPO, and knowledge distillation. Supports Llama, Mistral, Gemma, Qwen, and Phi model families with distributed training across multiple GPUs. Designed as a hackable, dependency-minimal alternative to higher-level frameworks.

All-in-one embeddings database with RAG, search, and agent capabilities

txtai is a self-contained AI search and RAG platform that combines vector embeddings, semantic search, LLM pipelines, and agent workflows in a single Python library. It handles embedding generation, similarity search, extractive QA, summarization, translation, and custom pipelines without external dependencies. Runs locally with over 12,400 GitHub stars and Apache 2.0 license.

Extremely fast Python type checker written in Rust

ty is an extremely fast Python type checker built in Rust by Astral, the team behind Ruff and uv. It performs full type inference, supports PEP 695 type parameter syntax, and checks Python code orders of magnitude faster than mypy or pyright. ty completes the Astral Python toolchain alongside Ruff for linting and uv for package management, giving developers a unified Rust-powered development experience.

Blazing-fast Python package and project manager in Rust

uv is an extremely fast Python package and project manager written in Rust by Astral. It replaces pip, pip-tools, pipx, poetry, pyenv, and virtualenv with a single binary that delivers 10-100x speedups. uv manages Python versions, resolves dependencies with universal lockfiles, runs scripts with inline metadata, and executes CLI tools via uvx. Over 82,000 GitHub stars and weekly releases make it the fastest-growing Python toolchain.

Lightweight virtual Kubernetes clusters

vCluster creates lightweight, isolated virtual Kubernetes clusters inside physical host clusters, enabling teams to run sandboxed environments for development, testing, and AI agent experimentation without provisioning separate infrastructure. Each virtual cluster has its own API server, control plane, and resource isolation while sharing the underlying compute, reducing infrastructure costs by up to 90% compared to full cluster provisioning.

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.

Production-grade reinforcement learning framework for LLM training

verl is an open-source reinforcement learning framework designed specifically for training and aligning large language models. Built for production use with support for distributed training across multiple GPUs and nodes, it implements RLHF, DPO, and other alignment algorithms that make LLMs follow instructions, avoid harmful outputs, and generate higher quality responses. Over 580 contributors and 20,000 GitHub stars signal strong adoption.

Official Python SDK for the xAI API

The xAI Python SDK is the official Python client for the xAI API, giving developers a direct way to build Grok-powered apps without relying on community proxies or unofficial wrappers. It supports synchronous and asynchronous Python clients for chat completions, streaming responses, function/tool calling, and multimodal workflows, making it a clean fit for backend services, agents, notebooks, and developer tools that need programmatic xAI access.

Smarter cd command

Smarter cd command that learns your most-used directories and lets you jump to them with partial name matches. Written in Rust for speed, it replaces the standard cd command with intelligent fuzzy matching based on frequency and recency of access. A small quality-of-life tool that saves developers hundreds of keystrokes daily by eliminating tedious path typing.