Business Software for PowerShell

RoboTask is a powerful automation software that streamlines the process of executing a variety of tasks without requiring any coding skills. This versatile program enables users to design both simple and intricate macros, incorporating features like conditional logic, loops, and custom variables for advanced automation needs. It facilitates efficient file and folder management, and includes a keyboard and mouse macro recorder. Users can simulate mouse and keyboard actions while also performing automated transfers of files via FTP, SFTP, or FTPS protocols. Additionally, RoboTask supports email automation through POP3, IMAP, and SMTP, allowing for the seamless checking, sending, and retrieving of emails, alongside SQL database automation and compatibility with Excel. It also excels in web automation tasks, such as filling out web forms and executing various web actions. The software provides tools for image manipulation, including conversion, resizing, cropping, and adding watermarks, while also allowing users to interact with the clipboard, system registry, and processes using regular expressions. Furthermore, it features a built-in HTTP web server that supports WebSockets and offers integration capabilities with Python, JavaScript, PowerShell, and more. Users have the ability to schedule macros to execute one or multiple tasks at predetermined times, enhancing their productivity and efficiency. Overall, RoboTask is an essential tool for anyone looking to automate their workflows effectively.

Refraction serves as a powerful code-generation tool tailored for developers, employing AI to assist in writing code. This innovative platform enables users to produce unit tests, documentation, refactor existing code, and much more. It supports code generation in 34 programming languages, including Assembly, C#, C++, CoffeeScript, CSS, Dart, Elixir, Erlang, Go, GraphQL, Groovy, Haskell, HTML, Java, JavaScript, Kotlin, LaTeX, Less, Lua, MatLab, Objective-C, OCaml, Perl, PHP, Python, R Lang, Ruby, Rust, Sass/SCSS, Scala, Shell, SQL, Swift, and TypeScript. With Refraction, thousands of developers globally are streamlining their workflows, utilizing AI to automate tasks such as documentation creation, unit testing, and code refactoring. This tool not only enhances efficiency but also allows programmers to concentrate on more critical aspects of software development. By leveraging AI, you can refactor, optimize, fix, and style-check your code effortlessly. Additionally, it facilitates the generation of unit tests compatible with various testing frameworks and helps clarify the intent of your code, making it more accessible for others. Embrace the capabilities of Refraction and transform your coding experience today.

Cody is an advanced AI coding assistant developed by Sourcegraph to enhance the efficiency and quality of software development. It integrates seamlessly with popular Integrated Development Environments (IDEs) such as VS Code, Visual Studio, Eclipse, and various JetBrains IDEs, providing features like AI-driven chat, code autocompletion, and inline editing without altering existing workflows. Designed to support enterprises, Cody emphasizes consistency and quality across entire codebases by utilizing comprehensive context and shared prompts. It also extends its contextual understanding beyond code by integrating with tools like Notion, Linear, and Prometheus, thereby gathering a holistic view of the development environment. By leveraging the latest Large Language Models (LLMs), including Claude Sonnet 4 and GPT-4o, Cody offers tailored assistance that can be optimized for specific use cases, balancing speed and performance. Developers have reported significant productivity gains, with some noting time savings of approximately 5-6 hours per week and a doubling of coding speed when using Cody.

Textbelt is a straightforward SMS API designed specifically for developers who need to send text messages efficiently. Numerous clients favor Textbelt over alternative SMS services due to its uncomplicated setup, transparent pricing options, and dedicated customer support. There are no ongoing fees, superfluous features, or client libraries to navigate. Users can send one free text message per day and can generate their own key for additional messages as needed. Textbelt provides both open-source and premium versions of its service, ensuring reliability for users. Since its inception in 2012, Textbelt has been a trusted partner for thousands of developers and businesses. It's important to note that delivery status varies across different mobile carriers; for instance, some may mark an SMS as "delivered" upon sending it to the device, while others only confirm delivery when a receipt from the handset is obtained. Furthermore, Textbelt facilitates the receipt of replies to sent messages, which are forwarded via webhook, necessitating the establishment of an HTTP or HTTPS endpoint on your site to handle incoming SMS. This feature enhances interactivity, allowing users to engage with their audience more effectively.

Introducing Nancy, a framework heavily inspired by the Ruby Sinatra framework, named after Frank Sinatra's daughter. The overarching project, known as NancyFx, encompasses all related components. Nancy serves as a lightweight and user-friendly framework designed for creating HTTP-based services on both .NET and Mono platforms. Its primary aim is to minimize obstacles, offering a streamlined and enjoyable experience for developers. This focus translates into sensible defaults and conventions, eliminating the need for cumbersome configurations that can often hinder progress. With Nancy, you can quickly transform an idea into a functional website in just minutes. The framework is crafted to be versatile, with the intention of working seamlessly in various environments. Notably, from its inception, Nancy was built to operate independently of existing frameworks, allowing it to be utilized broadly. It's engineered with the .NET framework client profile, making it adaptable to numerous applications and settings.

Stellar Repair for MSSQL effectively restores various components of SQL databases, including tables, triggers, indexes, and stored procedures. It is capable of retrieving deleted records from SQL database tables while also extracting data from corrupted backup files. This tool ensures that SQL databases can be restored with minimal downtime, and it can repair corrupted MDF and NDF files as well as extract data from faulty backup (.BAK) files. Furthermore, it supports multiple versions of SQL, including 2022, 2019, 2017, 2016, and earlier editions. When a database's primary filegroup is suspected to be compromised due to issues such as a missing transaction log file or corruption, it gets flagged as 'suspect.' Situations like SQL server crashes during transactions, unexpected database shutdowns, or insufficient disk space can also lead to a database being marked as suspect, rendering it inaccessible. The Stellar SQL recovery solution is instrumental in recovering databases from this suspect mode, effectively returning them to a fully functional online state. Its capability to handle such diverse issues makes it an invaluable tool for database administrators.

Docker images are stored in a highly resilient storage solution. Automatic data replication is set up for all assets, ensuring that any changes—whether editing, creating, or deleting Docker images—are reflected across all replicas. The service supports containers for both Linux and Windows operating systems, allowing you to utilize them on your personal devices or within a Yandex Compute Cloud virtual machine. It offers rapid Docker image operations without incurring costs for external traffic since the image registries are situated within the same data centers as your cloud setup. Docker images are securely transmitted using HTTPS, and you have the authority to determine who can view, pull, push, or remove them. When you use a Docker image, we handle all the infrastructure maintenance for your registry. You are only charged for the storage utilized by your Docker images. Accessing the service can be done through the management console, command line interface (CLI), API, or the standard Docker CLI, with full compatibility with the Docker registry HTTP API V2. Additionally, this service ensures a seamless experience by integrating with various tools and workflows you may already be using.

Komandi serves as an essential utility for both developers and system administrators, facilitating the insertion, favoriting, copying, and execution of commands. This versatile tool enables users to manage their frequently utilized CLI commands while identifying potentially hazardous commands to prevent unintended execution. With the power of AI, Komandi allows for the generation of terminal commands directly from natural language prompts, making it easier to communicate with your system. Users can execute commands immediately or target specific directories for execution, streamlining their workflow across multiple platforms, including macOS, Windows, and Linux. The application also offers a search function to quickly find and execute commands using keyboard shortcuts, enhancing user efficiency. For those interested in trying it out, Komandi is available for free download from the website, but users are limited to a 7-day trial period before they must purchase a license to continue enjoying its features. This makes Komandi a valuable tool for anyone looking to optimize their command-line experience and effortlessly manage their command repertoire.

This solution for remote deployment facilitates the swift and effortless unattended installation and removal of software on Windows PCs from a distance. It enables users to remotely manage the installation and uninstallation of EXE setups and MSI/MSP packages on selected Windows computers linked to a local network. Additionally, it provides the capability to collect information regarding software installed on remote machines, generates combined software inventory reports, and monitors any changes made to the software. EMCO Remote Installer is designed as a user-friendly network tool for centralized software oversight and auditing throughout a LAN. With its straightforward yet efficient method of distributing software remotely, it serves as an alternative to SCCM and other more complex deployment solutions. The application not only facilitates the auditing of software on remote PCs across your network but also automates software deployment, ensuring that installations occur simultaneously on multiple machines. This parallel deployment capability allows for rapid software distribution, enabling completion across the entire network in just a matter of minutes. Moreover, its intuitive interface makes it accessible for users without extensive technical expertise.

HaberChat helps businesses and teams communicate better on WhatsApp. It has a number of features that will help you manage your WhatsApp communications, including: • Connect multiple WhatsApp accounts from a single platform • Share your WhatsApp number with the entire team Launch message campaigns • Automate everything using APIs, code, webhooks, and more 7-day free trial.

Our platform, which operates without agents, enables rapid segmentation of network workloads while restricting unauthorized traffic to thwart lateral movement and prevent breaches. Safeguarding IT assets across physical, virtual, and cloud settings is becoming increasingly intricate. Conventional security measures often fall short against advanced threats. By utilizing microsegmentation, we can effectively isolate workloads, oversee east-west traffic, and stop the spread of attackers to vital areas, thereby bolstering overall network security. You can create and implement security policies based on asset classification through the use of hierarchical taxonomies and tagging. Additionally, by enforcing stringent access controls and consistently monitoring service traffic, we align with zero trust principles, crafting a robust and adaptable security framework. The 12Port Horizon boasts an agentless architecture, which streamlines deployment and upkeep in various environments without introducing added complexity, making it a valuable asset for organizations seeking effective security solutions. This approach not only enhances security but also simplifies the management of your network infrastructure.

AutoRest is a powerful tool that facilitates the generation of client libraries for interacting with RESTful web services. It requires a specification that outlines the REST API using the OpenAPI format, enabling the streamlined production of client code in various programming languages like C#, Java, Python, TypeScript, and Go. By automating this process, AutoRest significantly improves consistency and efficiency in API usage, thereby minimizing the manual labor involved in creating and maintaining client libraries. The tool utilizes a versatile pipeline to process OpenAPI input files, converting them into a code model that language-specific generators then use to create client code that conforms to the design principles of each language. Supporting both OpenAPI 2.0 and 3.0 specifications, AutoRest ensures broad compatibility with numerous APIs. Additionally, developers can easily install AutoRest on any major operating system, including Windows, macOS, or Linux, using the Node.js package manager for a straightforward setup experience. This accessibility makes it an invaluable resource for developers looking to streamline their API integration processes.

Thunder Compute delivers cheap cloud GPUs for companies, researchers, and developers running demanding AI and machine learning workloads. The platform gives users fast access to H100, A100, and RTX A6000 GPUs for LLM training, inference, fine-tuning, image generation, ComfyUI workflows, PyTorch jobs, CUDA applications, deep learning pipelines, model serving, and other GPU-intensive compute tasks. Thunder Compute is designed for teams that want affordable GPU cloud infrastructure with a strong developer experience, clear pricing, and minimal operational friction. Instead of dealing with the cost and complexity of legacy cloud vendors, users can deploy on-demand GPU instances with persistent storage, rapid provisioning, straightforward management, and scalable compute capacity. Thunder Compute is a strong fit for startups building AI products, engineering teams that need cloud GPUs for inference, and organizations looking for GPU hosting that is both economical and reliable. If you are searching for cheap H100s, A100 cloud instances, affordable GPUs for AI, or a RunPod alternative with transparent pricing and a simple interface, Thunder Compute provides a modern option for high-performance cloud GPU rental and AI infrastructure. Thunder Compute supports teams building and deploying modern AI applications that need dependable access to cheap cloud GPUs for both experimentation and production. From prototype training runs to large-scale inference and batch processing, the platform is designed to reduce infrastructure friction and accelerate iteration. For users comparing GPU cloud providers, Thunder Compute stands out with affordable pricing, fast access to top-tier GPUs, and a developer-friendly experience built around real AI workflows.

CodeSession serves as a collaborative platform for coding interviews and offers a web-based IDE that facilitates both real-time and take-home technical evaluations without necessitating any local installations. Supporting more than 40 programming and scripting languages, it allows interviewers and candidates to collaborate in a unified space equipped with features such as syntax highlighting, auto-formatting, and customizable code templates. Additionally, the platform includes live whiteboarding, seamlessly integrates take-home test delivery, and provides unlimited user seats along with permanent storage of interviews accessible through unique links, enabling reviews of all sessions at any time. Built for quick implementation, most teams can commence their interview process within just 15 minutes after signing up, with no need for extra infrastructure or external sites. CodeSession meticulously records every keystroke and drawing action, which simplifies the assessment of coding skills and problem-solving abilities, ultimately fostering a more productive interview experience. This comprehensive approach not only enhances collaboration but also ensures that all necessary tools are readily available for both interviewers and candidates.

OpenAI’s GPT-5 mini is a cost-efficient, faster version of the flagship GPT-5 model, designed to handle well-defined tasks and precise inputs with high reasoning capabilities. Supporting text and image inputs, GPT-5 mini can process and generate large amounts of content thanks to its extensive 400,000-token context window and a maximum output of 128,000 tokens. This model is optimized for speed, making it ideal for developers and businesses needing quick turnaround times on natural language processing tasks while maintaining accuracy. The pricing model offers significant savings, charging $0.25 per million input tokens and $2 per million output tokens, compared to the higher costs of the full GPT-5. It supports many advanced API features such as streaming responses, function calling, and fine-tuning, while excluding audio input and image generation capabilities. GPT-5 mini is compatible with a broad range of API endpoints including chat completions, real-time responses, and embeddings, making it highly flexible. Rate limits vary by usage tier, supporting from hundreds to tens of thousands of requests per minute, ensuring reliability for different scale needs. This model strikes a balance between performance and cost, suitable for applications requiring fast, high-quality AI interaction without extensive resource use.

OpenAI’s GPT-5 nano is the most cost-effective and rapid variant of the GPT-5 series, tailored for tasks like summarization, classification, and other well-defined language problems. Supporting both text and image inputs, GPT-5 nano can handle extensive context lengths of up to 400,000 tokens and generate detailed outputs of up to 128,000 tokens. Its emphasis on speed makes it ideal for applications that require quick, reliable AI responses without the resource demands of larger models. With highly affordable pricing — just $0.05 per million input tokens and $0.40 per million output tokens — GPT-5 nano is accessible to a wide range of developers and businesses. The model supports key API functionalities including streaming responses, function calling, structured output, and fine-tuning capabilities. While it does not support web search or audio input, it efficiently handles code interpretation, image generation, and file search tasks. Rate limits scale with usage tiers to ensure reliable access across small to enterprise deployments. GPT-5 nano offers an excellent balance of speed, affordability, and capability for lightweight AI applications.

Tauri is a powerful framework that allows developers to create lightweight, efficient, and secure cross-platform applications by merging existing web front-ends with Rust-based back-ends. It is compatible with any JavaScript framework, allowing you to maintain your current technology stack while utilizing the native web renderer of each operating system, resulting in app sizes as small as 600 KB. The framework facilitates deep inter-process communication, which connects your JavaScript user interface, Rust core logic, and native components written in Swift or Kotlin, ensuring smooth integration with system APIs. Built with security as a fundamental principle, Tauri integrates Rust at its core alongside a collaborative approach to enhancing and innovating security measures. The command-line interface provides scaffolding for new projects through various tools such as Bash, PowerShell, npm, Yarn, pnpm, Deno, Bun, or Cargo, and it offers features for bundling, templating, and secure defaults, all launched through the straightforward “create-tauri-app” command. By streamlining the development process, Tauri empowers developers to focus on building robust applications without compromising on performance or security.

DeepSeek-V4 is an advanced open-source large language model engineered for efficient long-context processing and high-level reasoning tasks. Supporting a massive one million token context window, it enables developers to build applications that handle extensive data and complex workflows without fragmentation. The model is available in two versions: V4-Pro for maximum reasoning power and V4-Flash for faster, cost-efficient performance. DeepSeek-V4-Pro delivers top-tier results in coding, mathematics, and knowledge benchmarks, rivaling leading proprietary models. Its architecture incorporates innovative attention techniques that significantly improve efficiency while maintaining strong performance. The model is optimized for agent-based workflows, allowing seamless integration with tools and automation systems. It also supports dual reasoning modes, enabling users to switch between quick responses and deeper analytical outputs. DeepSeek-V4 is fully open-source, providing flexibility for customization and deployment across various environments. Overall, it offers a powerful and scalable solution for modern AI development.

AnduinOS is a tailored Linux distribution based on Ubuntu, crafted to deliver a user-friendly experience for those migrating from different operating systems, especially those familiar with Windows. The system is designed to be lightweight and efficient, featuring a compact installation image that allows for swift setup and immediate functionality without the need for complicated configurations. With a GNOME-based desktop environment, AnduinOS presents a clean and user-friendly interface that mirrors common usage patterns, thereby minimizing the learning curve and facilitating rapid adoption. As it is built on the robust Ubuntu ecosystem, AnduinOS supports the majority of Ubuntu packages, providing users with access to a diverse array of applications and tools while ensuring both stability and flexibility. Furthermore, it prioritizes user privacy and security by steering clear of any tracking, profiling, or data collection practices, allowing individuals to navigate the system with complete anonymity. Additionally, AnduinOS regularly updates its features to enhance user experience and maintain security, making it a compelling choice for both newcomers and seasoned Linux users alike.

GPT-5.5 Pro is a next-generation AI model built for execution-heavy tasks across coding, research, business analysis, and scientific workflows. It can interpret complex instructions, break them into steps, and carry work through to completion using tools and automation. The model supports tasks such as generating documents, building applications, analyzing datasets, and navigating software environments. It is designed to operate across tools, enabling seamless workflows from idea to output. In addition, GPT-5.5 Pro integrates with workspace agents—customizable AI agents that automate recurring and multi-step processes across teams. These agents can handle tasks like lead research, reporting, and workflow automation, running independently or on schedules. Built with enterprise-grade safeguards, the model ensures secure and controlled automation. It helps organizations improve productivity by reducing manual effort and accelerating decision-making. GPT-5.5 Pro is ideal for teams looking to scale operations and handle complex workloads efficiently.

Worktale is a developer tool focused on local-first principles that converts git history into a detailed and enduring account of a developer's creations, merging code activity monitoring with insights from AI within one cohesive platform. Functioning mainly as a lightweight command-line interface, it also offers an optional desktop version, meticulously scanning repositories to create a comprehensive work journal derived from commit metadata such as timestamps, messages, and line modifications, all while maintaining the privacy of the source code. The tool effortlessly records development activities using a post-commit hook or through batch imports, generating daily summaries that encapsulate progress, key decisions, and outputs, which can be modified and utilized for various purposes such as status updates, performance evaluations, or documentation. Additionally, it features visual dashboards that include streak tracking, contribution heatmaps, and historical analytics, empowering developers to identify and analyze productivity trends over time. This innovative approach not only enhances individual productivity but also fosters better collaboration within teams by providing clear insights into each member's contributions.

HiClaw is a multi-agent operating system that is open source and operates on the Matrix framework, allowing various AI agents to work together within Matrix rooms, where their activities are fully accessible to humans in real-time. The system features a Manager Agent that oversees multiple Worker Agents, efficiently breaking down complex tasks and facilitating simultaneous execution, which enhances the management of these intricate operations. Designed with a focus on enterprise-level security and collaborative capabilities, HiClaw utilizes the open Matrix instant messaging protocol, ensuring that all communications between agents are transparent, easily auditable, and fit for distributed systems and federated environments. Humans have the ability to join any Matrix room whenever they wish, which allows them to monitor agent discussions, intervene as necessary, or adjust agent actions in real-time, thereby safeguarding oversight and control. This structured two-tier system, consisting of Manager and Worker Agents, delineates clear responsibilities for each agent, simplifying the process of integrating custom Worker Agents tailored for various applications, while also promoting adaptability within the architecture. Consequently, the design of HiClaw not only enhances operational efficiency but also paves the way for innovative uses of AI collaboration across diverse scenarios.

Ornith-1.0 represents an innovative family of models tailored specifically for coding tasks that require agentic capabilities. This family encompasses a wide range of models, from the compact 9B Dense versions ideal for deployment on edge devices to the expansive 397B MoE frontier-scale models designed for peak performance, including variants such as 9B Dense, 31B Dense, 35B MoE, and 397B MoE. Built upon the foundational strengths of pretrained models like Gemma 4 and Qwen 3.5, Ornith-1.0 excels in achieving top-tier performance among open-source models that are similar in size when evaluated against coding benchmarks. A significant breakthrough of this model is its self-improving training framework, which effectively learns to produce both solution rollouts and the tailored scaffolds that direct those rollouts. Rather than depending on static, human-crafted harnesses, Ornith-1.0 perceives the scaffold as a dynamic entity that evolves alongside the policy, enabling the model to optimize both the orchestration of tasks and the resulting solutions in tandem. This dual optimization approach enhances the model's adaptability and effectiveness in real-world coding scenarios.

Gemini 3.5 Flash-Lite stands out as the quickest model within Google's Gemini 3.5 lineup, specifically engineered for tasks requiring low latency and for enhancing developer workflows that demand high throughput, including agentic search, document processing, coding, and extensive data analysis. It boasts an impressive output capacity of 350 tokens per second and marks a significant enhancement over earlier Flash-Lite iterations in terms of both quality and agentic capabilities. Developers have the flexibility to adjust the model's thinking level to suit the demands of the task at hand: minimal or low thinking allows for rapid processing of large volumes, while elevated thinking levels accommodate more intricate, multi-step workflows involving subagents. Furthermore, the model is equipped with built-in computational skills, enabling it to interact effectively with various digital environments across compatible platforms. Additionally, Gemini 3.5 Flash-Lite excels in coding, comprehending long contexts, and executing real-world tasks, consistently outperforming its predecessor, Gemini 3.1 Flash-Lite, in critical assessments and even exceeding the performance of Gemini 3 Flash on multiple benchmarks related to agentic functions and software engineering. This impressive performance highlights its potential to transform how developers approach complex workflows and data-intensive tasks.

JAMS Incident Management ensures that the appropriate individual responds promptly when an issue arises. Notifications escalate via various channels such as voice calls, SMS, push notifications, email, Microsoft Teams, and Slack until someone acknowledges the alert, which helps teams prevent missed notifications and lengthy outages. It is compatible with any team and technology stack, receiving alerts from monitoring systems, emails, webhooks, or its API, while autonomously managing paging and escalation processes. Although JAMS Scheduler is optional, teams utilizing it can seamlessly generate incidents from job failures, transforming a failed job into an immediate alert without needing manual intervention. This solution effectively bridges the gap between identifying a failure and notifying the right person by converting raw alerts into phone calls and escalating notifications for clear acknowledgment. Additionally, it offers the capability to monitor the health of JAMS Windows services directly on the host through a lightweight connector agent, ensuring health checks persist even if the JAMS REST API becomes unavailable. This functionality ultimately enhances operational efficiency and reduces response times during critical incidents.