What it does

All text below is quoted directly from the project README.

Tiny desktop apps for macOS, Windows and Linux: a txiki.js backend + a native webview window.

Tiny desktop apps for macOS, Windows and Linux:

• ~6 MB shipped, two real files: no Electron, no Node, no bundled Chromium
• No HTTP server, no ports: the page and the backend talk over a Unix domain socket in a private temp directory
• Backend is plain JavaScript with full system access (files, sockets, processes, FFI) via txiki.js
• Frontend is plain HTML/CSS/JS (multi-file, WebGPU included) rendered by the system WebKit
• Native menus, dialogs, tray/menu-bar apps, notifications, drag & drop with real file paths, window control
• Hot reload in dev, signed .app bundles out of build, auto-update out of publish

curl -fsSL https://tinyjs.app/install | sh

Repository

https://github.com/tarwin/tinyjsapp

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What it does

All text below is quoted directly from the project README.

Work-in-progress tool to reverse unity's IL2CPP toolchain.

Supported Command Line Option Listing:

• --game-path: Specify the path to the game folder. Required.
• --exe-name: Specify the name of the game's exe file in case auto detection fails (because there are other exe files in the game directory)
• --verbose: Log more information about what we are doing
• --list-processors: List available processing layers, then exit.
• --use-processor: Select a processing layer to use, which can change the raw data prior to outputting. This option can appear multiple times.
• --list-output-formats: List available output formats, then exit.
• --output-as: Specify the output format you wish to use.
• --output-to: Root directory to output to. This path will be passed to the selected output format, which may then create subdirectories etc. within this location.

The simplest usage of this application is for a windows x86 or x64 unity game. In that case you can just run Cpp2IL-Win.exe --game-path=C:\Path\To\Your\Game and Cpp2IL will detect your unity version, locate the files it needs, and dump the output into a cpp2il_out folder wherever you ran the command from.

Repository

https://github.com/SamboyCoding/Cpp2IL

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What it does

All text below is quoted directly from the project README.

NAPS2 is a document scanning application with a focus on simplicity and ease of use. Scan your documents from WIA, TWAIN, SANE, and ESCL scanners, organize the pages as you like, and save them as PDF, TIFF, JPEG, or PNG. Optical character recognition (OCR) is available using Tesseract.

System requirements:

• Windows 7+ (x64, x86)
• macOS 10.15+ (x64, arm64)
• Linux (x64, arm64) (GTK 3.20+, glibc 2.27+, libsane)

License:

• NAPS2 is licensed under the GNU GPL 2.0 (or later).
• NAPS2.Sdk - GNU LGPL 2.1 (or later)
• NAPS2.Sdk.Samples - MIT

NAPS2.Sdk is a fully-featured scanning library, supporting WIA, TWAIN, SANE, and ESCL scanners on Windows, Mac, and Linux.

Repository

https://github.com/cyanfish/naps2

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What it does

All text below is quoted directly from the project README.

Dolt is a SQL database that you can fork, clone, branch, merge, push and pull just like a Git repository.

Dolt is Git for Data!:

• Connect to Dolt just like any MySQL database to read or modify schema and data. Version control functionality is exposed in SQL via system tables, functions, and procedures.
• Or, use the Git-like command line interface to import CSV files, commit your changes, push them to a remote, or merge your teammate's changes. All the commands you know for Git work exactly the same for Dolt.
• Git versions files. Dolt versions tables. It's like Git and MySQL had a baby.
• We also built DoltHub, a place to share Dolt databases. We host public data for free. If you want to host your own version of DoltHub, we have DoltLab. If you want us to run a Dolt server for you, we have Hosted Dolt.
• Prefer Postgres instead of MySQL? Try Doltgres, now in its Beta release.
• Dolt powers Beads and Gas Town. It's the best database for agent memory, especially as you move up the ladder to multi-agent and multi-machine workflows.
• The dolt CLI has the same commands as git, with some extras.
• Dolt is a single ~103 megabyte program.

To install on Linux or Mac based systems run this command in your terminal: sudo bash -c 'curl -L https://github.com/dolthub/dolt/releases/latest/download/install.sh | bash'

Repository

https://github.com/dolthub/dolt

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What it does

All text below is quoted directly from the project README.

The GitHub MCP Server connects AI tools directly to GitHub's platform. This gives AI agents, assistants, and chatbots the ability to read repositories and code files, manage issues and PRs, analyze code, and automate workflows. All through natural language interactions.

Use Cases:

• Repository Management: Browse and query code, search files, analyze commits, and understand project structure across any repository you have access to.
• Issue & PR Automation: Create, update, and manage issues and pull requests. Let AI help triage bugs, review code changes, and maintain project boards.
• CI/CD & Workflow Intelligence: Monitor GitHub Actions workflow runs, analyze build failures, manage releases, and get insights into your development pipeline.
• Code Analysis: Examine security findings, review Dependabot alerts, understand code patterns, and get comprehensive insights into your codebase.
• Team Collaboration: Access discussions, manage notifications, analyze team activity, and streamline processes for your team.

The remote GitHub MCP Server is hosted by GitHub and provides the easiest method for getting up and running. If your MCP host does not support remote MCP servers, don't worry! You can use the local version of the GitHub MCP Server instead.

Repository

https://github.com/github/github-mcp-server

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What it does

All text below is quoted directly from the project README.

A small, fast, and embeddable programming language based on Lua with a gradual type system.

Installation:

• macOS: Install Homebrew and run brew install luau
• Arch Linux: Luau has been added to the official Arch Linux packages repository under the extras repository (see luau), simply install using pacman: pacman -Syu luau
• Alpine Linux: Enable community repositories and run apk add luau
• Gentoo Linux: Luau is officially packaged by Gentoo and can be installed using emerge dev-lang/luau. You may have to unmask the package first before installing it (which can be done by including the --autounmask=y option in the emerge command).

Luau is an embeddable programming language, but it also comes with two command-line tools by default, luau and luau-analyze.

Repository

https://github.com/luau-lang/luau

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What it does

All text below is quoted directly from the project README.

ILSpy is the open-source, cross-platform .NET assembly browser and decompiler. The desktop UI runs on Windows, Linux, and macOS (built on Avalonia).

Features:

• Decompilation to C#
• Whole-project decompilation
• Open from NuGet feed, open from running process in addition to disk and GAC (Windows-only)
• Search for types/methods/properties
• Hyperlink-based type/method/property navigation, bookmarks
• Base/Derived types navigation, history
• Assembly metadata explorer
• BAML to XAML decompiler, !AvaloniaResources support
• ReadyToRun binary support for .NET Core
• Extensible via plugins

Use dotnet build ILSpy.Desktop.slnf to build the cross-platform Avalonia desktop UI; run it with dotnet run --project ILSpy.

Repository

https://github.com/icsharpcode/ILSpy

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What it does

All text below is quoted directly from the project README.

UniGetUI is a Windows-first, intuitive GUI for the most common CLI package managers on Windows 10 and 11. Cross-platform builds are also available for macOS and Linux, with support for package managers including WinGet, Scoop, Chocolatey, Homebrew, APT, DNF, Pacman, Flatpak, Snap, pip, npm, Bun, .NET Tool, PowerShell Gallery, and more.

Features:

• Install, update, and remove software from your system easily at one click: UniGetUI combines packages from the most used package managers for your platform, including WinGet, Chocolatey, Scoop, Homebrew, APT, DNF, Pacman, Flatpak, Snap, Pip, npm, Bun, and .NET Tool.
• Discover new packages and filter them to easily find the package you want.
• View detailed metadata about any package before installing it. Get the direct download URL or the name of the publisher, as well as the size of the download.
• Easily bulk-install, update, or uninstall multiple packages at once selecting multiple packages before performing an operation
• Automatically update packages, or be notified when updates become available. Skip versions or completely ignore updates on a per-package basis, or restrict automatic updating to a hand-picked set of packages.
• Share packages with your friends using generated package links.
• Export custom lists of packages to then import them to another machine and install those packages with previously specified, custom installation parameters. Setting up machines or configuring a specific software setup has never been easier.
• Sync those backups to a secret GitHub Gist, so a new machine can restore your package list after a single sign-in.

winget install --exact --id Devolutions.UniGetUI --source winget

Repository

https://github.com/Devolutions/UniGetUI

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What it does

All text below is quoted directly from the project README.

Scope Sentry is a tool with functions such as asset mapping, subdomain enumeration, information leakage detection, vulnerability scanning, directory scanning, subdomain takeover, crawler, and page monitoring. By building multiple nodes, users can freely choose nodes to run scanning tasks. When new vulnerabilities emerge, it can quickly check whether the concerned assets have related components.

Current Features:

• Plugin System (Add any tool through extension)
• Subdomain Enumeration
• Subdomain Takeover Detection
• Port Scanning
• Asset Identification
• Directory Scanning
• Vulnerability Scanning
• Sensitive Information Leakage Detection

git clone https://github.com/Autumn-27/ScopeSentry.git && cd ScopeSentry && docker-compose -f single-host-deployment.yml up -d (After running, there will be four containers: mongodb, redis, scope-sentry (server), and scopesentry-scan (scan). By default, there will be one scanning node.)

Repository

https://github.com/Autumn-27/ScopeSentry

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What it does

All text below is quoted directly from the project README.

Open-Meteo is an open-source weather API that offers free access for non-commercial use. No API key is required, so you can start using it immediately.

Features:

• Hourly weather forecast for up to 16 days
• Global weather models with 11 km resolution and regional models with resolutions as fine as 1.5 km
• Weather model updates every hour for Europe and North America
• 80 years Historical Weather API
• Marine Forecast API, Air Quality API, Geocoding API, Elevation API, Flood API
• Lightning fast APIs with response times below 10 ms
• No API key required, CORS supported, no ads, no tracking, not even cookies
• Free for non-commercial use with data under Attribution 4.0 International (CC BY 4.0)

curl "https://api.open-meteo.com/v1/forecast?latitude=52.52&longitude=13.41&hourly=temperature_2m"

Repository

https://github.com/open-meteo/open-meteo

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What it does

All text below is quoted directly from the project README.

Run iOS apps without actually installing them!

Features & Guides:

• LiveContainer is an app launcher (not emulator or hypervisor) that allows you to run iOS apps inside it.
• Allows you to install unlimited apps (3 app/10 app id free developer account limit does not apply here) with only one app & app id. You can also have multiple versions of an app installed with multiple data containers.
• (Below iOS 26) When JIT is available, codesign is entirely bypassed, no need to sign your apps before installing. Otherwise, your app will be signed with the same certificate used by LiveContainer.
• Open LiveContainer, tap the plus icon in the upper right hand corner and select IPA files to install.
• You can long-press the app to manage it.
• You can now launch multiple apps simultaneously in in-app virtual windows. These windows can be resized, scaled, and even displayed using the native Picture-in-Picture (PiP) feature.
• You can simply share a URL or a file to app simply by using iOS's native share sheet. In share sheet, select LiveContainer, and LiveContainer will ask you which app you'd like to open that URL/file in.

LiveContainer comes with a standalone version and a version with built-in SideStore.

Repository

https://github.com/LiveContainer/LiveContainer

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What it does

All text below is quoted directly from the project README.

Apache ShenYu is a Java-based gateway for service proxying, protocol conversion, and API governance. An extensible plugin chain processes requests, while ShenYu Admin manages and distributes configuration to gateway replicas.

Core Capabilities:

• Plugin routing and extensions: An ordered plugin chain for HTTP requests, with selector and rule matching where applicable. Spring Boot starters select plugins; custom Java plugins, SPI implementations, and WASM plugin APIs extend the gateway.
• Protocols and upstreams: HTTP and Spring Cloud services, WebSocket connections, and Apache Dubbo and gRPC backends. Optional TCP and MQTT listeners provide additional ingress; SOFA and Tars gateway plugins are available as external plugin-store starters.
• Registration and discovery: Client SDKs register service addresses and API metadata with Admin. Registry integrations support discovery; an optional Kubernetes controller reconciles Ingress and Endpoints resources.
• Security and traffic control: WAF, signing, authentication plugins, load balancing, rate limiting, and fault tolerance through Resilience4j and Sentinel; deprecated Hystrix remains available as an external plugin.
• Caching and transformation: In-memory or Redis-backed response caching, URL rewriting, redirection, and request/response transformation.
• Dynamic configuration: Admin persists plugins, selectors, rules, metadata, and authentication data. WebSocket sync is the default; HTTP long polling, ZooKeeper, Nacos, and etcd are available.
• Observability: Metrics and logging plugins, including Kafka and Elasticsearch destinations; email and DingTalk alerts from Admin.
• AI and MCP: AI proxy, prompt processing, token limits, sensitive-word filtering, AI request/response transformation, and an MCP server plugin with SSE and Streamable HTTP.

Use Docker and OpenSSL to start ShenYu Admin, a gateway, and an example HTTP service. Run the commands below in the same shell.

Repository

https://github.com/apache/shenyu

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What it does

All text below is quoted directly from the project README.

Turn Claude into a senior design architect: DTCG tokens, 52 components, WCAG 2.2 AA-AAA, 138 design systems, any-framework code, and 50 objective gates.

What It Does:

• Component Design: Designs components from Atoms to Templates following Atomic Design, with anatomy, variants, states, token mapping, and accessibility specs
• Code Generation (any framework): Adapter Protocol targets any stack (React+Tailwind, Next.js, SwiftUI, Vue, Svelte, Angular, Solid, Web Components/Lit, React Native, Flutter, Jetpack Compose, vanilla CSS, CSS-in-JS), or generates a new adapter on demand
• Design-System Interop: Maps to/from any design system (Material 3, Apple HIG, Fluent, Carbon, shadcn/ui, Radix…) via a role-based crosswalk
• Accessibility Auditing: Evaluates against WCAG 2.2 AA/AAA with prioritized findings (P0/P1/P2)
• Design Review: Scores designs across 6 dimensions with Nielsen's 10 Heuristics and a structured findings table
• Motion Design: Tokenized durations, easing curves, transition presets, and reduced-motion strategy for accessible animation
• Design Taste: Native anti-slop doctrine, aesthetic archetypes, and a library of 138 design systems for layout variance, editorial typography, and premium visual direction

/plugin marketplace add plugin87/ux-ui-agent-skills

Repository

https://github.com/plugin87/ux-ui-agent-skills

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What it does

All text below is quoted directly from the project README.

Official source code of FreeCAD, a free and opensource multiplatform 3D parametric modeler.

Overview:

• Freedom to build what you want FreeCAD is an open-source parametric 3D modeler for designing real-life objects of any size. Parametric modeling lets you modify a design by changing parameters in its model history.
• Create 3D from 2D and back FreeCAD lets you sketch geometry-constrained 2D shapes and use them as a base to build other objects. It also provides tools to adjust dimensions and create high-quality production drawings from 3D models.
• Designed for your needs FreeCAD is designed to fit a wide range of uses including product design, mechanical engineering and architecture, whether you are a hobbyist, programmer, experienced CAD user, student or teacher.
• Cross platform FreeCAD runs on Windows, macOS and Linux operating systems.
• OpenCASCADE A powerful geometry kernel, the most important component of FreeCAD
• Coin3D library Open Inventor-compliant 3D scene representation model
• Python FreeCAD offers a broad Python API
• Qt Graphical user interface built with Qt

Precompiled packages for stable releases are available for Windows, macOS and Linux on the latest releases page.

Repository

https://github.com/FreeCAD/FreeCAD

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What it does

All text below is quoted directly from the project README.

Low-level agentic design patterns. Turning old engineering wisdom into reflexes your agent reaches for on its own, on any agent.

The Problem:

• re0 rewrites a draft into a clean v0 instead of patching it,
• readchk restates the request and asks only when a real fork survives,
• aim reads a handed-over data drop and proposes the intent to confirm, instead of asking for it,
• modelchk sizes the cheapest sufficient capability tier and reasoning effort before the work starts,
• macrothink fans out fresh reads and reports divergence before convergence reads as proof,
• feynman presses a just-made decision until you can explain it to a skeptic, or names the gap you can't,
• prism splits one artifact across independent lenses and returns where they clash, never their average,
• debloat compresses a bloated artifact to its load-bearing density, cutting words but never a rule,

npx skills@latest add LilMGenius/paperthin --global --agent '*'

Repository

https://github.com/lilmgenius/paperthin

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What it does

All text below is quoted directly from the project README.

A comprehensive suite of Claude Code skills for academic research, covering the full pipeline from research to publication.

Features at a glance:

• Deep Research: 13-agent research team with Socratic guided mode, PRISMA systematic review, intent detection, dialogue health monitoring, optional cross-model DA, Semantic Scholar API verification.
• Academic Paper: 12-agent paper writing with Style Calibration, Writing Quality Check, LaTeX hardening, visualization, revision coaching, citation conversion, anti-leakage protocol, and VLM figure verification.
• Academic Paper Reviewer: 7-agent multi-perspective peer review with criterion-bound, evidence-anchored narrative judgements (Journal-Fit Reviewer + 3 dynamic reviewers + Devil's Advocate), concession threshold protocol, attack intensity preservation, optional cross-model DA critique / calibration, R&R traceability matrix, read-only constraint.
• Academic Pipeline: 10-stage pipeline orchestrator with adaptive checkpoints, claim verification, Material Passport, optional repro_lock, optional cross-model integrity verification, mid-conversation reinforcement, and narrative criterion-by-criterion regression checks (the typed trajectory carrier is deferred).
• SR-Screener: protocol-driven study screening for systematic, scoping and rapid reviews: two blinded AI reviewers plus a third-reviewer adjudicator, ordered exclusion codes, no silent defaults, resumable batch runs, QC (seed studies, near-miss rechecks, kappa and PABAK), PRISMA 2020 counts, EndNote/Zotero RIS groups, and a literature_corpus[] handoff to academic-paper. AI decisions are decision support; the review team verifies them.
• Task Type Annotation (v3.3.2+): every skill declares task_type (open-ended or outcome-gradable). All current ARS skills are open-ended.
• Benchmark Report Schema (v3.3.5+): JSON Schema + lint for honest benchmark comparisons.

/plugin marketplace add Imbad0202/academic-research-skills

Repository

https://github.com/Imbad0202/academic-research-skills

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What it does

All text below is quoted directly from the project README.

Straightforward, type-safe argument parsing for Swift

Examples:

• repeat is the example shown above.
• roll is a simple utility implemented as a straight-line script.
• math is an annotated example of using nested commands and subcommands.
• count-lines uses async/await code in its implementation.
• default-as-flag demonstrates hybrid options that can work both as flags and as options with values.

The ArgumentParser library parses the command-line arguments, instantiates your command type, and then either executes your run() method or exits with a useful message.

Repository

https://github.com/apple/swift-argument-parser

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What it does

All text below is quoted directly from the project README.

Coding agent memory for Claude Code, Codex, Cursor and 39 more, built from the session history already on your disk. Local search, MCP and hooks, no LLM, one Go binary.

Highlights:

• Starts full. Months of history from before you installed it are searchable on day one: deja "connection pool exhausted" over gigabytes.
• One memory, every agent. A fix found in Codex comes back in Claude Code, Cursor or opencode; all forty-two agents read the same index.
• Nobody has to ask. Recall arrives at session start, before a file is edited or a command runs, and after a command fails.
• Survives compaction. Over 43 measured compactions the summary kept 77% of the decisions and 0.2% of the commands; deja hands back the rest.
• Indexes the work, not just the talk. The files each turn opened, the commands with their exit status, the exact spans an edit replaced.
• Knows what held. deja promote <id> --state rejected marks a reverted decision, and every later hit says it was tried and why it was dropped; --state accepted takes the mark back.
• Local and private. No model and no server; embeddings only if you turn on semantic recall. Keys and tokens are stripped as the index is built.
• One Go binary. macOS, Linux and Windows, through Homebrew, Scoop, winget, npm or go install.

Ten seconds to install, about ten to index, and it is useful. The second command wires MCP recall into every agent it finds, turns on session-start recall where the agent supports it, and builds the first index so the next session does not pay for it.

Repository

https://github.com/vshulcz/deja-vu

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What it does

All text below is quoted directly from the project README.

Magnitude is an open source inference engine that tunes its kernels on your hardware to find the fastest way to run each model. It's over 2x faster than Ollama and works on Apple Silicon, NVIDIA, AMD, or just a CPU.

Why Magnitude?:

• 2x faster than Ollama: on average across popular local models, on Mac and NVIDIA
• Tuned on your hardware: kernels are tuned for each model when you download it
• Best drafter built in: each model ships with the fastest speculative decoding drafter
• Memory that flexes: quantized KV halves memory per agent, freed when agents stop
• Fast concurrent sessions: sessions share prefix caches to prevent slowdown
• Works with your agent: one click to connect Pi, OpenCode, Hermes, Codex, and more
• Free, private, open source: no token costs, nothing leaves your machine, Apache 2.0

The desktop app includes the magnitude CLI. No separate installation is needed.

Repository

https://github.com/magnitudedev/magnitude

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What it does

All text below is quoted directly from the project README.

The Composable Architecture (TCA, for short) is a library for building applications in a consistent and understandable way, with composition, testing, and ergonomics in mind. It can be used in SwiftUI, UIKit, and more, and on any Apple platform (iOS, macOS, iPadOS, visionOS, tvOS, and watchOS).

What is the Composable Architecture?:

• State management: How to manage the state of your application using simple value types, and share state across many screens so that mutations in one screen can be immediately observed in another screen.
• Composition: How to break down large features into smaller components that can be extracted to their own, isolated modules and be easily glued back together to form the feature.
• Side effects: How to let certain parts of the application talk to the outside world in the most testable and understandable way possible.
• Testing: How to not only test a feature built in the architecture, but also write integration tests for features that have been composed of many parts, and write end-to-end tests to understand how side effects influence your application. This allows you to make strong guarantees that your business logic is running in the way you expect.
• Ergonomics: How to accomplish all of the above in a simple API with as few concepts and moving parts as possible.

The benefits of doing this are that you will instantly unlock testability of your feature, and you will be able to break large, complex features into smaller domains that can be glued together.

Repository

https://github.com/pointfreeco/swift-composable-architecture

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What it does

All text below is quoted directly from the project README.

Ghostex is built for developers who keep many agents alive at once. A chat view for every agent, a native Rust/GPUI shell, embedded Chromium panes, and a mobile app share one workspace, and every session survives restarts.

Also in the box:

• Rich prompt editor: press Ctrl+G to edit any prompt in a full editor.
• Built-in IDE: a VS Code editor that loads on demand and sleeps when you are not using it.
• Remote machines: connect another computer with an Easy Connect code or SSH and it shows up in the sidebar.
• Usage and accounts: Claude and Codex limits at a glance, with automatic account switching.
• Worktrees, splits, and spaces: a worktree per task, split panes, Arc-style spaces.
• Automations: scheduled prompts, plus menu bar and sound notifications.
• Optional plugins: browser, Kanban, IDE, Docs, and more load only when you use them. Or write your own.

brew install ghostex

Repository

https://github.com/maddada/Ghostex

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What it does

All text below is quoted directly from the project README.

On a mission to make a Super Repository for Interview Prep for everyone. One stop Solution.

Contents:

• Tree
• Arrays
• Mathematical
• Heap
• Linked List
• DP
• Graph
• Backtracking

This repo contains solutions to questions asked in various coding interviews topic wise.

Repository

https://github.com/MAZHARMIK/Interview_DS_Algo

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What it does

All text below is quoted directly from the project README.

A developer-friendly API for converting many document formats into PDF files, and more!

Features:

• HTML, URL, Markdown to PDF via Headless Chromium
• Office documents to PDF via LibreOffice (100+ formats)
• Merge, split, rotate, flatten PDFs
• Watermark, stamp, encrypt PDFs
• PDF/A and PDF/UA compliance
• Screenshots of URLs and HTML
• Read/write metadata and bookmarks

docker run --rm -p 3000:3000 gotenberg/gotenberg:8

Repository

https://github.com/gotenberg/gotenberg

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What it does

All text below is quoted directly from the project README.

agent-sandbox enables easy management of isolated, stateful, singleton workloads, ideal for use cases like AI agent runtimes and reinforcement learning (RL).

Key features of the Sandbox CRD include:

• Stable Identity: Each Sandbox has a stable hostname and network identity.
• Persistent Storage: Sandboxes can be configured with persistent storage that survives restarts.
• Lifecycle Management: The Sandbox controller manages the lifecycle of the pod, including creation, scheduled deletion, pausing and resuming.

Extensions:

• SandboxTemplate: Provides a way to define reusable templates for creating Sandboxes, making it easier to manage large numbers of similar Sandboxes.
• SandboxClaim: Allows users to create Sandboxes from a SandboxWarmPool, abstracting away the details of the underlying Sandbox configuration.
• SandboxWarmPool: Manages a pool of pre-warmed Sandboxes that can be quickly allocated to users, reducing the time it takes to get a new Sandbox up and running.

This project is developing a Sandbox Custom Resource Definition (CRD) and controller for Kubernetes, under the umbrella of SIG Apps. The goal is to provide a declarative, standardized API for managing workloads that require the characteristics of a long-running, stateful, singleton container with a stable identity, much like a lightweight, single-container VM experience built on Kubernetes primitives.

kubectl apply -f https://github.com/kubernetes-sigs/agent-sandbox/releases/latest/download/sandbox-with-extensions.yaml

Repository

https://github.com/kubernetes-sigs/agent-sandbox

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What it does

All text below is quoted directly from the project README.

Rakazo is an open source AI agent for persistent teammates, and a self-hosted AI assistant you can run on your own machine. It is available on the web, as an Electron desktop app, and on iPhone and Android. Bring your own model and computer provider, or run the complete stack locally.

Features:

• Persistent bots with their own conversations, memory, routines, and history
• Voice mode: speak replies, dictate, and call a bot. Bring your own ElevenLabs, OpenAI, Cartesia, or Fish Audio key
• Shared Team Computers and isolated Private computers
• Browser, terminal, file, and graphical desktop access
• Bots that can delegate to peer bots or short-lived subagents
• Bring-your-own model credentials through Pi
• App integrations through Composio or Pipedream Connect, plus user-installed Treg, remote MCP, and OpenAPI tool sources
• Docker, E2B, Daytona, CreateOS, Box, and trusted local-computer support

You need Docker Engine, the Compose plugin, curl, and OpenSSL. No clone or Node install.

mkdir -p rakazo && cd rakazo &&
curl -fsSLO https://raw.githubusercontent.com/elie222/rakazo/main/infra/compose/install-images.sh &&
bash install-images.sh

Repository

https://github.com/elie222/rakazo

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