2,416 tools and products — trending open source, and what gets used in AI and other work.
SAM.gov (System for Award Management) is the U.S. federal government's official website for registering entities to do business with the federal government and for searching federal procurement and assistance opportunities. It is operated by the General Services Administration (GSA) and consolidates multiple legacy systems into a single portal.
Luma is a web platform for discovering and hosting events. It lets users create event listings, invite guests, sell tickets, and browse events happening nearby via the luma.com site.
Bun is a fast JavaScript and TypeScript runtime and toolkit created by Jarred Sumner and maintained by the Bun team. It integrates a bundler, test runner, and an npm-compatible package manager to bundle, install, and run JavaScript and TypeScript applications. Bun is positioned as an all-in-one alternative to Node.js and Deno.
Zig is an open-source general-purpose programming language and toolchain created by Andrew Kelley and maintained by the Zig project. It emphasizes performance, predictable behavior, manual memory management, and compile-time metaprogramming, and is commonly used as a systems programming alternative to C.
PostPilot is a direct-mail marketing platform for Shopify and other ecommerce businesses. It automates personalized postcards and other mail campaigns, using Shopify customer behavior and order data to trigger retention, winback, and lifecycle mailings. The platform also creates look-alike household audiences from customer lists.
SPIFFE (Secure Production Identity Framework for Everyone) is an open framework and set of standards for assigning strongly attested cryptographic identities to software workloads across heterogeneous infrastructure, including Kubernetes, virtual machines, public clouds, and private data centers. Workloads can use these identities for authenticated service-to-service communication through X.509 or JWT-based mechanisms, including mutually authenticated TLS and zero-trust authentication without passwords or API keys. SPIRE (SPIFFE Runtime Environment) is the companion toolchain that establishes trust and issues workload identities across hosting platforms. SPIFFE and SPIRE are graduated projects of the Cloud Native Computing Foundation.
MLflow is an open-source AI engineering platform for agents, large language models, and machine-learning models, developed in the MLflow repository. It provides experiment tracking for models, parameters, metrics, and evaluation results, along with production observability, evaluation, prompt versioning and optimization, and model lifecycle tools. Its agent and LLM observability captures application traces using OpenTelemetry and supports different LLM providers and agent frameworks; its AI Gateway provides an OpenAI-compatible interface for routing requests, managing rate limits and credentials, handling fallbacks, controlling costs, and applying guardrails. MLflow can be run as a server and accessed through Python, TypeScript/JavaScript, Java, and other programming languages, with integrations including OpenTelemetry and MCP.
TikTok Shop is an in-app e-commerce service operated by TikTok (ByteDance) that enables merchants and creators to list and sell products directly within the TikTok app, including product pages, checkout and live-stream shopping features. It was rolled out in multiple markets from 2020 onward and integrates commerce with TikTok's creator and advertising ecosystem.
Faire (Faire, Inc.) is an online wholesale marketplace that connects independent retailers with brands and makers, enabling retailers to discover and purchase products for resale. The platform provides ordering, payment and fulfillment tools to facilitate wholesale transactions between brands and retailers worldwide.
Cloudflare Computer is an open-source library that provides AI agents with a virtual filesystem backed by a Cloudflare Durable Object. The Durable Object stores the authoritative state in SQLite, while the workspace exposes a single execution interface through `workspace.runtime.exec(source, { backend })`. It supports three execution backends: Container projects the SQLite state into a sandbox container through a FUSE mount and synchronizes changes over capnweb RPC; Isolate shell runs `just-bash` in a Dynamic Worker; and Isolate JavaScript runs an ECMAScript module in a fresh Dynamic Worker with structured inputs and results, durable relative imports, configured libraries, workspace-backed `node:fs/promises`, and trusted `ws:git` and `ws:artifacts` modules. Workspaces can register multiple backends under stable identifiers, connect to them lazily, or be used solely as a filesystem without an execution backend. The repository includes examples for container, Worker shell, Worker JavaScript, egress policies, MCP, agent workspaces, tutorials, artifacts, and assets. The package is marked preview-only: its APIs are unstable and the repository says it is intended for experiments, exploration, and prototypes rather than production use.
AirLLM is an open-source Python library for running large language model inference on GPUs with limited memory. It reduces GPU memory use by loading and processing one model layer at a time instead of holding the entire model in GPU memory; for sparse mixture-of-experts models, it streams individual experts as needed. The project is designed to run large models without requiring quantization, distillation, or pruning, and provides a pip-installable package with support for multiple model families, CPU inference, macOS, and optional model compression and quantization features.
WARP (Weight-Aware Runtime and Paging), formerly WASTE, is an embeddable inference engine written in dependency-free C by SQLiteAI. It runs large mixture-of-experts models beyond available RAM by keeping the shared model trunk in memory, streaming selected experts from NVMe or other fast storage, and using remaining RAM as a bounded expert cache. Its container layout gives each expert an aligned read; reads overlap computation, while a lookahead router prefetches experts for the next layer without changing the decisions made by the actual router. Experts use 3-bit residual vector quantization, while more sensitive shared weights use 4- or 8-bit storage. The project is designed for local inference of frontier-scale models such as Kimi K3 and GLM-5.3-Flash on consumer hardware.
GenOffice is a free, open-source AI office suite from Genspark AI for macOS, Windows, and Linux. It consists of six Electron applications sharing an engine layer: Docs for .docx files, Sheets for .xlsx spreadsheets, Slides for .pptx presentations, PDF for viewing and editing PDFs, Markdown for plain Markdown files, and a shell application that hosts the editors. It opens and saves Microsoft Office formats, and includes light, dark, and system themes. Its AI panel supports document-aware, block-level edits with version snapshots and diffs; in spreadsheets, presentations, and PDFs it provides a tool-calling agent over document state. Built-in tools include web search, image search, image generation, and media analysis. Users can sign in through Genspark or supply their own keys for providers including Claude, OpenAI, Gemini, DeepSeek, Kimi, GLM, Qwen, Doubao, MiniMax, Grok, Mistral, and OpenRouter, as well as custom OpenAI-compatible endpoints and local servers. GenOffice Docs uses byte-preserving .docx editing in which only modified paragraphs are regenerated, with Word-compatible pagination, tracked changes, comments, styles, equations, and ink. GenOffice Sheets uses the open-source Univer core with in-house extensions and a Rust .xlsx import/export sidecar, plus charts, pivot tables, slicers, conditional formatting, and formula tracing. GenOffice Slides has an in-house .pptx parsing, rendering, and editing engine with masters, layouts, charts, cropping, ink, and text shaping. GenOffice PDF supports annotations, forms, outlines, stamps, signatures, page operations, printing, direct text reflow and image editing, and local conversion to editable Word, PowerPoint, or Excel files; scanned PDFs can use system OCR on macOS and Windows. GenOffice Markdown is a Tiptap block editor that saves headings, lists, tables, images, and code blocks back to plain Markdown. The suite is distributed under the Apache-2.0 license with installers for the three supported desktop platforms.
TencentDB Agent Memory is a self-hostable, team-level memory hub for AI agents. It extracts conversations and tasks into reusable Chat Memory and Skills, and converts documents and code into an LLM Wiki and CodeGraph. These assets can be reviewed, versioned, governed, shared, routed, and reused across agents, frameworks, and team members; existing documents, codebases, and agent sessions can also be imported to reduce cold-start work. The system provides a shared memory server and a proxy that preserves the agent protocol, so supported clients can use the same memory by pointing their base URL at the proxy without plugins, hooks, or an MCP server. The repository deploys memory-core, memory-hub, and the proxy together, with a local management panel and configuration for separate memory and proxy LLM parameters. Documented integrations include DeepSeek Harness, Claude Code, Codex, CodeBuddy, WorkBuddy, Hermes, and OpenClaw.
Desktop Commander MCP is an open-source Model Context Protocol server that lets AI assistants search, read, write, move, and edit files; run terminal commands and code; and manage interactive or long-running processes. It is built on the MCP Filesystem Server and adds search-and-replace editing, streamed command output, session management, process controls, configurable timeouts, and background execution. It also supports file previews and Markdown editing, data analysis for CSV, JSON, and Excel files, and native operations on Excel, PDF, and DOCX documents. The repository documents use with Claude Desktop and other MCP clients, as well as remote AI control through ChatGPT, Claude web, and other AI services. Its associated Desktop Commander App adds a graphical interface, live file-change previews, arbitrary model support, and custom MCP configuration.
OfficeCLI is an open-source command-line Office suite developed by iOfficeAI for AI agents to create, read, edit, render, and automate Word (.docx), Excel (.xlsx), and PowerPoint (.pptx) files without a Microsoft Office installation or external dependencies. It is distributed as a single binary and provides commands for creating documents, adding, modifying, moving, copying, and removing elements, reading text and structure as plain text or JSON, and saving changes. Its built-in HTML rendering engine converts DOCX, XLSX, and PPTX files to HTML or PNG for a render-and-review workflow. The `watch` command provides a live browser preview that refreshes after document changes, while the tool can also analyze formatting and structural issues, evaluate Excel formulas, and install an agent skill for supported AI coding agents.
Waku Agent is an open-source, local-first personal assistant and AI-agent harness built by seanchen.io. It runs on a laptop through a terminal, local browser dashboard, voice input, or Telegram gateway, and is organized around four components: a harness for tool execution, an approximately 95-line plain-Python agent loop, memory, and evaluation/LLM operations. Its memory uses semantic, episodic, and procedural stores in a local SQLite database, with a gate that decides whether to retrieve or save memory and a pass that determines what to retain. The project includes deterministic tests alongside LLM-as-judge evaluation with a release gate. The dashboard displays message flow through the harness, including gate decisions, tool calls, loop iterations, memory updates, traces, costs, and latency; it also includes views for workflows, tools and MCP connectors, memory, and the SQLite state database. It can be installed with pip and exposes the `waku` command. The dashboard runs a local web server at `127.0.0.1:7777`, and the Telegram gateway starts when `TELEGRAM_BOT_TOKEN` is configured. Model providers are selected through a provider setting and API key, with support stated for Anthropic, OpenAI, Gemini, DeepSeek, MiniMax, Kimi, GLM, OpenRouter, OpenCode Zen, and OpenCode Go.
vPhone Workstation is a native macOS SwiftUI application for managing virtual iPhones. It provides a library with live running or stopped state, iOS and cloudOS builds, search, and VM details including variant, CPU, memory, disk, network, device, and UDID. Users can start, stop, foreground, clone, rename, export, configure, and delete virtual machines. Its creation wizard selects a VM variant, firmware pairing, and CPU, memory, and disk resources, while streaming progress from vphone-cli and producing an exportable log. vPhone Workstation is a graphical front end for vphone-cli, which boots iOS research virtual machines through Apple's Virtualization.framework using PCC research VMs. It also checks host readiness, including the required macOS version, Apple Silicon hardware, vphone-cli availability, research-guest permissions, and AMFI configuration. The repository documents macOS 15 or newer as a requirement and provides Homebrew installation and source-build instructions.
Swiftlet is an open-source Swift and Metal runtime for running Qwen3-Next and Qwen3.5/3.6 mixture-of-experts models locally on Apple devices, including iPhones. It keeps the models' small dense core in memory and streams routed expert weights from storage on demand, allowing 35B and 80B models to run with comparatively low RAM. The project is available as a Swift package, command-line interface, OpenAI-compatible server, and iOS app; its repository describes the runtime as working end to end and notes that only about 3B parameters are active per token in the supported models.
Can I Vibecode It? is an open-source catalog that evaluates whether AI coding agents such as Claude Code, Codex, or Cursor can build a usable personal replacement for a paid SaaS application. Each app entry provides a YES, KINDA, or NOT REALLY verdict, the exact prompt for attempting the replacement, and the tradeoffs of leaving the original service, including lost network effects, data, or infrastructure. App entries are contributed as one JSON file per app, with the schema and verdict criteria documented in the repository. The site uses Astro server output with a Node adapter to render fully server-rendered HTML, SQLite via better-sqlite3 for vote counters and waitlist data, and vanilla JavaScript and CSS for interactions. Satori and resvg generate Open Graph images at build time. It runs locally with npm install, npm run dev, npm run build, and npm start, requires no environment variables for local development, and supports optional analytics, sign-in, payments, email, and media-storage configuration. It can be deployed on a VPS behind a reverse proxy, with DATA_DIR used to keep user data outside the repository. The project is released under the MIT License, and its prompts are intended to remain free.
Capptivo is a free, open-source screen recorder and editor for creating demo videos on macOS, Windows, and Linux. It tracks cursor movement and clicks to apply follow-cursor and click-based automatic zooms, and provides editor presets, annotations, facecam, backgrounds, captions, and MP4, WebM, or GIF export. Captions use a system whisper.cpp command-line binary, with model weights downloaded on first use. The application captures macOS screens through ScreenCaptureKit with VideoToolbox H.264 encoding, Windows screens through Windows.Graphics.Capture with hardware-encoding support, and Linux screens through xdg-desktop-portal and PipeWire. It is distributed through platform installers, including DMG or app archives for macOS, MSI or setup executables for Windows, and DEB, AppImage, or RPM packages for Linux. The repository releases it under the MIT license.
MAGI-2 Preview is the inference implementation for SandAI’s unified audio-video generation model. The 114-billion-parameter architecture, built on MagiMoE, activates about 6 billion parameters per token and generates 10-second clips from text prompts (T2V) or a prompt plus a still image (I2V), with sound generated alongside the video and muxed into the output file. Generation runs in two stages: `magi2_preview` denoises the clip at low resolution, after which `magi2_refiner` increases it to 1080p. The current base release is not step-distilled, so denoising steps account for most of the generation time; a distilled release is described as forthcoming. The repository contains inference code, while the model weights are downloaded separately from the `sand-ai/MAGI-2-preview` Hugging Face repository and occupy hundreds of gigabytes in total. An optional prompt-enhancement stage sends the input to an OpenAI-compatible instruction-following LLM, which rewrites it as a structured JSON caption for the 10-second clip, renders that result as Markdown, and passes it to the generation pipeline. It can be disabled to use the raw prompt. The documented runtime requires eight NVIDIA Hopper GPUs, Python 3.12, a recent CUDA toolkit, and FFmpeg for audio-video muxing; Docker images and a source installation are provided.
Fin is an AI customer-agent product from Intercom that automates support, sales, and e-commerce interactions across chat and voice channels. It is described as able to handle complex customer issues, update accounts, and process payments and refunds while managing end-to-end customer journeys inside Intercom's messaging platform. It is offered as part of Intercom's conversational support suite.
Jira is a suite of issue-tracking and project-management products developed by Atlassian. It is used to plan, track, and release software and to manage IT service and business projects; main editions include Jira Software, Jira Service Management, and Jira Work Management.
Lowe's Companies, Inc. is an American retail company that operates a chain of home improvement and hardware stores. Headquartered in Mooresville, North Carolina, it sells building materials, appliances, tools, and related services across the United States and Canada. It is one of the largest home-improvement retailers in the U.S.
Docling is an open-source document-processing toolkit from the Docling project for preparing files for generative-AI applications. It parses formats including PDF, DOCX, PPTX, XLSX, HTML, EPUB, images, plain text, audio, and video, and represents the results in a unified DoclingDocument structure. For PDFs, it analyzes page layout, reading order, headings, tables, code, formulas, images, and scanned content through OCR. Audio and video inputs can be processed with automatic speech-recognition models; video parsing produces an ASR transcript and representative keyframes. Parsed content can be exported as Markdown, HTML, WebVTT, DocLang, DocTags, or lossless JSON. Docling supports local and air-gapped execution, a command-line interface, Python usage, an API server named docling-serve, and an MCP server for connecting agents. The project also provides integrations for LangChain, LlamaIndex, CrewAI, and Haystack. It is installable with pip and runs on macOS, Linux, and Windows on x86_64 and arm64 systems.
Hark is a webhook-to-iPhone notification platform for CI jobs, agents, scripts, monitoring tools, and other systems that can send HTTP requests. Each service receives a name, avatar, destination URL, and secret webhook endpoint; JSON requests can create rich notifications with sender, body, images, tap destinations, project grouping, summaries, and optional device routing. The platform also supports approval requests and text replies for agent workflows, tracks delivery attempts and registered devices in a web dashboard, and provides stateful Live Activities for task progress on the iOS Lock Screen and Dynamic Island. Hark provides an iPhone app, a Node.js 22-or-newer CLI package named harkctl, and an agent skill; the repository documents a Pro tier for multiple devices and targeted delivery.
Grok is an AI conversational assistant developed by xAI, the company founded by Elon Musk. It is offered as a chat model integrated with the X platform and designed for open-ended dialogue and real-time web-aware responses. The name has been used with variant version labels for model updates.
Astro is an open-source web framework and website build tool for content-driven websites, developed by the Astro project. It supports static, server-rendered, and hybrid sites with component integrations for frameworks including React, Preact, Solid, Svelte, and Vue; the project also provides Node, Vercel, Cloudflare, Netlify, MDX, RSS, and related integrations. The video identifies Astro as providing a supported development-server integration for Frontman.
Polar is a billing platform and Merchant of Record aimed at developers building AI-era software. It provides payments, subscriptions, and usage-based billing while handling global tax and compliance for its customers.
Open Science is an open-source, local-first, model-agnostic AI research workbench developed by AIPOCH for scientists and researchers. It runs on macOS, Windows, and Linux and supports computational and data-intensive research in fields including machine learning, statistics, life sciences, chemistry, materials science, physics, and environmental science. Users create projects and sessions, describe research goals in plain language, attach source files, select a model and approval mode, and inspect the agent’s tool activity. Scientific AI agents can read files, search the web, execute Python and R code, query scientific data sources, and produce reports, tables, figures, and other research artifacts. The workbench supports literature review, hypothesis development, code execution, data analysis, simulation, visualization, and related reproducible research workflows. Its first-run setup checks the environment, configures model-provider credentials, optionally prepares Python and R runtimes, and prepares an agent runtime such as Claude Code, OpenCode, or Codex; app-managed runtimes can be installed without Node.js, npm, or administrator privileges. Projects keep sessions, uploads, generated files, and preview state together. Conversations record agent answers and the commands, file reads, edits, searches, and connector calls behind them. Generated artifacts are stored as immutable, checksummed versions; their Provenance view can show producer code and execution history, referenced inputs, the observed environment inventory, the producing conversation branch, and version-scoped reviewer findings, marking unavailable evidence as unavailable rather than guessing.
Bento is an open-source PowerPoint alternative and office suite distributed as a single HTML file. Each deck contains its own viewer, presenter, editor, fonts, images, charts, animations, and readable JSON document data, so it can be opened, edited, presented, and shared in a modern browser without an account, installer, or network connection. The editor rewrites the deck's data block when saving, using the File System Access API with a download fallback. It supports morph presentations in which elements sharing an ID animate between slides, built-in bar, line, pie, and scatter charts, speaker view, comments, layouts, interactive states, motion paths, PDF export, and multiple interface languages. Optional collaboration uses end-to-end encryption with AES-GCM, a CRDT for merging offline edits including character-level text changes, and a relay that stores ciphertext rather than document contents; Offline mode blocks synchronization and collaboration.
Vibe-Trading is an open-source AI personal trading agent and quantitative-finance research workspace developed by HKUDS. It turns natural-language finance questions into runnable analysis and backtesting workflows by connecting an agent to market-data loaders, portfolio and backtesting engines, report generation, persistent memory, and multi-agent research teams across asset classes. Its quantitative and risk-analysis capabilities include strategy backtesting, Heston stochastic-volatility pricing, hierarchical risk parity, copulas, and market-microstructure estimators. The project provides API and MCP interfaces, broker and market-data connectors, portfolio-management and broker-authorized trading workflows, examples, documentation, a demo, and a Shadow Account for testing. It supports read-only account sources such as official IBKR MCP and opt-in Binance USD-M snapshots, while scheduling actions require explicit confirmation and live-order safeguards fail closed on contradictory or invalid data. Implemented as a Python project, it uses a connector onboarding system that stores connection secrets in the operating-system keyring and is distributed under an open-source license.
An open-source agent skill for redesigning GitHub README homepages around a repository's actual content. It reads the repository first, identifies the clearest value and supporting proof, and then derives a project-specific visual system rather than applying a shared template. In whole-README mode, it works across content, visual-system, and engineering layers: it removes repetition and internal jargon, moves proof toward the opening, derives typography, color, composition, and project-native motifs, and keeps assets GitHub-safe, accessible, searchable, and copyable. The skill separates visual and content layers by using SVG for editable heroes, section transitions, comparisons, diagrams, and identity while retaining maintainable Markdown for searchable body text. It supports hybrid SVG compositions with optional AI-generated elements, local previews, and an approval step before publishing. The repository documents examples used by eight public repositories, including project-specific heroes and real outputs for slide creation, UI reconstruction, icon generation, agent delegation, vehicle telemetry, interactive mapping, and a solo werewolf game.
Audar-ASR-V1 is a family of Arabic-first generative speech-recognition models developed by AudarAI. It treats transcription as audio-conditioned next-token prediction with a language-model decoder, rather than a CTC or transducer objective, using a Whisper-style 128-mel audio encoder and a Qwen3 decoder with a 30-second context. The models cover Modern Standard Arabic, major Arabic dialects, code-switched Arabic-English, English, and 30 languages overall. The Flash tier is intended for real-time, edge, on-device, or offline use, while Turbo targets lower error on difficult dialectal and long-form audio. Both tiers share an architecture and prompt interface and can be run through Transformers, GGUF with llama.cpp, or vLLM; the repository provides model pointers, benchmarks, and inference examples. The published models use the AudarAI Open v1.0 and AudarAI Community v1.0 licenses.
text-to-cad is a library of agent skills for creating, inspecting, sourcing, slicing, previewing, and handing off CAD, CAE, CAM, robotics, and hardware-design artifacts from local project files. Its skills generate and edit CAD models from plain-language or image requests, primarily producing STEP files with optional STL, 3MF, and GLB exports; preview local CAD and robot files in a browser; source off-the-shelf STEP parts; and create DXF drawings from Python sources or CAD geometry. Additional skills write URDF robot structures, SRDF/MoveIt2 planning and collision data, and SDF simulator models and worlds; check DXF and STEP files for SendCutSend; measure mesh printability by wall thickness, overhangs, support volume, and build orientation; slice supported meshes into validated, printer-profiled FDM G-code using slicer command-line tools; and dry-run, upload, and cautiously start local Bambu Lab print jobs. An experimental implicit-CAD skill creates browser-native models with GLSL signed-distance fields and CAD Viewer raymarch rendering. The library is installed with the Skills CLI, including `npx skills add earthtojake/text-to-cad`, or through provider-native plugins for Codex, Claude Code, and Grok Build.
AI Job Search is an open-source, local job-application framework built around Claude Code or compatible agent tools. Users create a career profile, search and deduplicate job postings, evaluate and rank matches against structured fit criteria, and run `/apply` to produce tailored CVs and cover letters in LaTeX. The application pipeline uses a drafter–reviewer process: an agent evaluates the posting and drafts the materials, a second reviewer critiques them, and the workflow revises the output; `/interview` supports interview preparation, and optional salary benchmarking is included. The included portal-search skills target Danish services such as Jobindex, Jobnet, and Akademikernes Jobbank, while the profiling, fit-evaluation, and application workflow is described as language- and country-agnostic and adaptable to other job boards. It requires Python 3.10 or later, Bun for the job-search CLI tools, and a LaTeX distribution with `lualatex` and `xelatex`; an optional `pdftotext` installation supports the ATS parseability check for compiled CVs. The repository states that the project is independent of and unaffiliated with Anthropic or Claude Code.
Canvas UI is an open-source, framework-agnostic library of creative UI components that render canvas and WebGL effects over live, interactive HTML. Its components use the experimental HTML-in-canvas API to read and redraw the DOM as a texture while preserving selectable text and clickable links; where that API is unavailable, they fall back to WebGL overlays. The library includes fluid simulations, shader effects, 3D scenes, distortion, particles, glass, fire, retro, and glitch effects, including Liquid, Ripple, Blaze, Glass, VHS, Shatter, and Decrypt Reveal. Each component is implemented as a plain TypeScript and WebGL engine with thin wrappers for React, Solid, Preact, Vue, Svelte, and vanilla JavaScript. Components are copied into an application through a shadcn-compatible registry rather than installed as a conventional dependency, and provide typed props with default configuration. The registry is MCP-ready for AI-assisted component discovery and installation. HTML-in-canvas effects require Chrome with the relevant flag or an origin-trial token; other environments use the WebGL-overlay fallback, while the library’s 3D effect components work without that flag. The project includes the component source, documentation site, demos, and registry builder, and is distributed under the MIT license with the Commons Clause, which restricts selling the library itself.
An open-source AI agent skill for Claude Code, Codex, and similar coding agents that produces cinematic product, marketing, launch, and demo videos with Remotion. It provides shot recipe cards, motion previews, a reusable video template, and workflows for storyboarding, real page capture, animation, 2.5D camera moves, sound design, beat-synced cuts, and visual checks. The repository includes native Remotion components driven by normalized progress values, a gallery for browsing motion previews, and an optional JianYing project export that separates shot plates, captions, sound effects, and background music into editable tracks. It can be installed through the skills CLI, by cloning the repository, or by linking it into a Claude Code or Codex skills directory.
Openship is an open-source, self-hostable application deployment platform with built-in CI/CD. It takes a repository, detects or supports its stack, builds and ships the application as containers, and handles routing and TLS termination. Deployments can be controlled through a desktop app, web dashboard, or CLI; GitHub webhooks support push-to-deploy workflows, and the platform supports repeatable rollbacks. The control plane can run locally in the desktop app, as a self-hosted server, or through Openship Cloud. In Compose mode it runs the platform stack on a Docker host and can host deployed applications there; in bare mode it runs as a lightweight process and deploys to a server over SSH or to the cloud.
eve is an AI agent framework for building durable, structured, multi-agent projects from declarative configuration covering instructions, skills, tools, channels, schedules, permissions, and evaluations. Its agents can be developed within a single folder and run through chat surfaces such as Slack or the eve development TUI. Vercel uses eve as the foundation for a marketing-team template with one lead and five specialists: product marketing, content marketing, social media, SEO, and email. The lead loads shared brand context and user preferences, writes self-contained briefs, routes work one level deep, and returns deliverables produced in Notion, Typefully, or Resend; specialists research and edit their own work against written rubrics rather than spawning further agents. The template uses MCP connections for Notion, Typefully, and Resend, Vercel Blob for shared state and files, Vercel AI Gateway for model access, and Vercel Sandbox for reference files and shell commands. Irreversible actions—including email sends, deletes, scheduled social publishing, and Notion page moves—pause for human approval, while the available Resend tools are restricted to keep account administration out of reach. The project is implemented in strict ESM TypeScript and includes commands for local development, validation, type checking, discovery diagnostics, and deployment.
Basedash is an AI-native business intelligence SaaS platform developed by Basedash. It connects to customer data sources and translates natural-language questions into charts, dashboards, and reports, while supporting reporting workflows for teams. Its governed semantic layer defines approved metrics and links them to answers, dashboards, and reports, providing a controlled basis for data queries and outputs without extensive BI setup.
Kaneo is an open-source, self-hosted project-management tool for teams, focused on issue management and kanban-style workflows. It is designed as a simpler alternative to more complex project-management platforms, keeping project data on the user's infrastructure. The project can be deployed with the drim command-line tool, Docker Compose, or a Kubernetes Helm chart. Its Docker Compose setup runs Kaneo with PostgreSQL, and the project is distributed under the permissive MIT license.
Impeccable is an open-source design skill for AI coding agents, developed by pbakaus. It provides a shared design vocabulary with 23 commands, including init, shape, critique, audit, polish, harden, animate, typeset, layout, and live. The init command gathers product and design context into PRODUCT.md and DESIGN.md files, while other commands review, plan, modify, or refine a frontend project. Its CLI and browser extension run 61 deterministic detector rules for common AI-generated frontend design problems without an LLM or API key; it also supports LLM-based critique checks. The live command provides browser-based visual iteration, and the package can be installed from a project root with npx impeccable install.
Dokku is an open-source, Docker-powered self-hosted platform as a service for building and managing application lifecycles on a user's own server. It provides a small Heroku-like deployment workflow: users push application code, which Dokku builds with buildpacks or a Dockerfile, then manages as a containerized application. The project supports deployment to fresh Ubuntu or Debian virtual machines, requires SSH access for application deployment, provides web documentation and an SSH-based command-line administration interface, and is distributed under the MIT License.
OpenSlides is a free, open-source offline desktop application for creating animated code presentations. It turns source code into slides and converts selected lines into presentation steps, using Magic Move transitions to animate changes between code states and stepped highlights with configurable dimming, scaling, and transition timing. It provides light and dark themes, 16 syntax themes, slide search, thumbnails, keyboard navigation, full-screen playback, optional autoplay with per-slide timing, and project operations such as duplication, import, export, and drag-and-drop reordering. Built with Tauri and Svelte 5, it keeps projects on the local computer and provides installers for macOS, Windows, and Linux.
Ratel is an in-process context-engineering platform for AI agents. It catalogs tools, skills, and persistent facts, then searches the catalog on each turn and progressively discloses only the capabilities relevant to the request instead of placing every tool schema and instruction in the context window. Its retrieval supports BM25, semantic, and hybrid ranking without requiring a vector database. The project includes a Rust core, TypeScript and Python SDKs, an MCP server, and a CLI. Tools can be registered directly or ingested from an MCP server; skills can associate instructions with tools, while registered facts are re-injected when they are no longer fresh in the conversation. The repository describes the system as reducing token usage and mitigating tool overload.
SimpleEnglish is an open-source agent skill that makes large language models write technical documentation in ASD-STE100 Simplified Technical English, a controlled language used in aerospace. Its rules enforce short sentences, active voice, explicit instructions, simple tenses, and consistent terminology when rewriting READMEs, error messages, incident reports, runbooks, and release notes. The skill is distributed as a dependency-free folder for tools that support the Agent Skills standard, including Claude Code, Cursor, VS Code Copilot, OpenAI Codex, Gemini CLI, Goose, and OpenCode. It can also be installed as a Claude Code plugin and output style, or used by adding its prompt to a system prompt, AGENTS.md, or .cursorrules file. The repository is licensed under MIT.
Prime Agent is an open-source command-line coding and research agent for general and long-running tasks, developed by Prime Intellect. It combines recursive language-model workflows through an RLM harness with a persistent Python REPL, treating prompts as variables and invoking tools and recursive subagents programmatically. A continual harness stores supplemental prompts, memories, skill descriptions, and reusable subagent specifications as durable session state that can be refined through small, evidence-backed updates without changing the immutable base system prompt. The agent supports importable Python skills, parallel or background child agents, messaging between running agents, automatic context compaction, persistent goals, heartbeats, schedules, detached sessions, autonomous operation, and retained subagents.
Superpowers is an open-source agentic skills framework and software development methodology for coding agents. It begins by eliciting and presenting a software specification for approval, then produces an implementation plan emphasizing red/green test-driven development, YAGNI, and DRY. After approval, it uses a subagent-driven-development process in which agents implement engineering tasks, inspect and review the results, and continue according to the plan. It is distributed as a plugin for supported coding-agent harnesses, including Claude Code, Codex, Cursor, and others.
Code Review Graph is an open-source, local-first code intelligence tool that provides a command-line interface and MCP server. It builds a persistent structural map of a codebase with Tree-sitter, representing relationships such as functions, classes, imports, calls, inheritance, and test coverage, while tracking changes incrementally. The graph supplies focused repository context to AI coding tools so they can read relevant code instead of repeatedly scanning large portions of a project. It also supports code-review workflows such as blast-radius analysis and risk-scored pull-request reviews. The Python package can be installed with pip or pipx; its install command detects supported AI coding platforms and configures MCP settings, hooks, skills, and graph-aware instructions.
OpenEdit is an open-source, agent-driven video-editing pipeline from VEED. It has no graphical interface or timeline; an agent-agnostic skill and repository guide drive it through coding agents such as Claude Code, Codex, and Gemini. The pipeline can edit, cut, and reframe footage; create burned-in subtitles, motion graphics, charts, and visual elements; assemble slides, websites, stills, or generated media into video; capture web pages; and connect generation services or MCP servers when needed. Source footage is optional, and VEED Fabric can generate footage only with the user's approval. For captioning, the agent transcribes the video, designs the captions, renders the result, opens a video previewer, and accepts follow-up requests such as changing subtitle color, position, or emphasis. Transcription can use VEED, local offline WhisperX, or a user-supplied service; all providers must produce per-word timings, which are stored in a common transcript format. Caption styles are authored in HTML and CSS. The project includes VEED's closed-source but free-to-use HTML renderer, which does not require a headless browser; Chrome can be used as an alternative rendering backend. V1 primarily targets captions, while motion graphics, charts, and brand-book-matched styling are less exercised. OpenEdit supports Apple Silicon Macs and Windows x64 PCs. Intel Macs are unsupported, Linux support is planned, and Windows requires Git, Node, and ffmpeg. It can be installed from the repository or with `npx skills add veedstudio/open-edit`.
Code-Graph-RAG is an open-source retrieval-augmented generation system for querying, understanding, and editing multilingual codebases. Its Tree-sitter-based parser extracts functions, classes, methods, modules, and relationships, then stores them in Memgraph under a unified graph schema. An interactive CLI converts natural-language questions into Cypher queries, retrieves source code by name or intent, and supports AI-assisted editing and optimization. It provides AST-based surgical patches with diff previews, structural search and rewriting through ast-grep, dead-code discovery by traversing call and reference edges, and runtime-call overlays from test traces or production eBPF profiles. The project also supports MCP integration and publishes the `cgr` command-line tool to PyPI.
ComfyUI is an open-source AI content-creation engine and diffusion-model GUI, API, and backend developed by Comfy-Org. Its visual node-graph interface lets users build and reuse no-code workflows for image, video, audio, 3D, and text generation, editing, and processing, including workflows using diffusion models, VAEs, text encoders, LoRAs, ControlNets, adapters, and upscalers. Workflows can be saved and loaded as JSON, exposed through App Mode, or integrated into applications through local API endpoints. The engine supports asynchronous queueing, partial graph re-execution, VRAM and RAM management, model offloading, quantized models, custom nodes, and fully offline core operation unless optional resources are requested. It can run locally on Windows, Linux, and macOS through desktop, portable, or manual installations, with support for NVIDIA, AMD, Intel, Apple Silicon, and Ascend hardware. Comfy-Org also provides an official paid cloud version.
LoopX is an open-source, provider-neutral state kernel and local-first control plane for long-horizon AI agents and peer agent teams. It runs on top of agent harnesses such as Codex, Claude Code, Cursor, dsh, or a custom harness rather than replacing them, keeping objectives, gates, tasks, evidence, quotas, schedules, recovery state, and handoffs durable across bounded turns, sessions, tools, and agents. Its control layer makes semantic decisions about what happens next and supports governance, recovery, human-agent collaboration, and reviewable work. The accompanying personal agent workspace stores goals, attention, conversations, tasks, files, schedules, and recovery state locally across restarts; its supported browser/PWA dashboard can continue work across registered agent sessions and use typed previews, explicit confirmation, and receipts for protected changes.
Pi Web is an open-source local browser interface for the Pi coding agent, developed in the agegr/pi-web repository. It uses Pi’s local configuration and session files, allowing users to browse, resume, rename, export, delete, and branch project-grouped conversations; run agent turns; and inspect running state, context usage, costs, and compaction details. New sessions create independent session files, while “Edit from here” creates a branch within the current session. Its project workspace supports file browsing and uploads, Git diff inspection, automatic previews for source files, Markdown, images, audio, PDFs, and DOCX files, and Git worktree switching. Configuration panels manage provider logins and API keys, models and model tests, plugin packages, and skills. The interface supports English, Simplified Chinese, and Traditional Chinese, follows the browser language initially, and includes a language switcher. Pi Web is distributed through the `@agegr/pi-web` npm package, requires Node.js 22.19.0 or newer, and listens on `127.0.0.1` by default. Remote binding and HTTP Basic Authentication are available, but the documentation warns that Basic Auth does not encrypt credentials in transit and that the service should not be exposed over plain HTTP without a trusted reverse proxy or VPN. It reads Pi agent data from `~/.pi/agent` by default, shares Pi’s model, settings, and credential storage, and limits file browsing to known project or session roots rather than providing general filesystem access.
Kimi Code CLI is an AI coding agent developed by Moonshot AI that runs in a terminal. It reads and edits code, runs shell commands, searches files, fetches web pages, and selects subsequent actions based on the feedback from those operations. It works with Moonshot AI's Kimi models and can be configured with other compatible model providers. The tool is distributed as a single binary and provides an interactive terminal UI. It accepts video input, supports conversational configuration of Model Context Protocol (MCP) servers, and can install skills, MCP servers, and data sources from its marketplace or GitHub repositories. Built-in coder, explore, and plan subagents can work in isolated contexts, while lifecycle hooks can run local commands at selected points in a session. Kimi Code CLI also supports the Agent Client Protocol (ACP), allowing compatible editors and IDEs such as Zed and JetBrains to drive sessions through the `kimi acp` command. The repository documents installation for macOS, Linux, and Windows and provides OAuth or Moonshot AI Open Platform API-key login options.
Decimen Optical Transfer is an open-source browser-based file-transfer tool by Evan Crawley that sends files between devices using only a screen and a camera, without a network connection, pairing, permissions beyond camera access, or a dedicated app. The sender displays an endless stream of animated QR codes; the receiver collects fountain-coded frames in any order and uses Luby transform decoding to reconstruct the payload, so dropped frames affect transfer time rather than correctness. Transfers preserve filenames and media types, accept pasted text, support files up to 64 MB, and verify completed payloads with SHA-256. The web app works offline after its first visit and can be installed on iOS and Android home screens. QR streams can also be exported as APNG or PNG sequences for playback from a file, page, or video. Transmissions are not encrypted: data is readable by any camera pointed at the sending screen. The project is licensed under AGPL-3.0-or-later as of v0.4.0; releases through v0.3.0 remain available under the MIT license.
XY is an open-source Python charting library for web applications, notebooks, and static exports. It supports declarative charts and matplotlib-style conventions, with customization through Python, CSS, or Tailwind; outputs include HTML, PNG, SVG, and PDF. For small charts, XY sends individual points to the browser. For large datasets, its Rust core computes the data needed for the current screen resolution and can represent the result as a density surface. Panning, zooming, hovering, and selections rerun the process for the visible range, while selections can return the original data rows. The library is installable with pip or uv and supports interactions such as pan, zoom, hover, crosshairs, callbacks, and linked charts, along with layers, facets, responsive layouts, themes, axes, legends, and tooltips. The repository describes XY as an alpha project and notes that its matplotlib compatibility does not yet cover all charts and functionality.
Persona is an open-source, cross-platform desktop character that gives voice conversations an animated visual identity. It listens locally to a selected application's playback process rather than the microphone, using PipeWire playback-stream capture on Linux, WASAPI process-loopback capture on Windows, and a Core Audio process tap on macOS. Imported VRM character models switch between idle and speaking animations, with support for custom VRMA actions, model libraries, click-through desktop-pet behavior, and a local MCP server. Persona does not save audio, produce speech, transcribe content, or send audio over the network. It is distributed as an AppImage or DEB on Linux, an NSIS installer on Windows, and DMG or ZIP packages on macOS.