Business Software for Cursor

LinkTime is a scheduling platform enhanced by AI that streamlines the appointment management process for both individuals and teams, integrating booking links, automation features, and AI-driven communication tools into one cohesive system. Users can generate a shareable booking link for customers, clients, or colleagues to facilitate direct scheduling based on their current availability. By linking their calendars such as Google, Outlook, or iCloud and setting availability preferences, users can distribute a customized scheduling link or place booking widgets on their websites. The platform efficiently oversees scheduling duties, including verifying availability, creating events, and dispatching confirmations or reminders automatically. Beyond traditional scheduling capabilities, LinkTime features AI agents that can manage bookings via voice calls, SMS, and WhatsApp, enabling customers to set appointments through various communication methods while enhancing user experience and convenience. This multifaceted approach not only saves time but also increases productivity for users, ensuring a seamless appointment scheduling experience.

InsForge is an innovative backend platform designed specifically for AI-driven development, offering all necessary tools to create, oversee, and launch comprehensive applications via AI coding agents. As a Backend-as-a-Service, it comes equipped with essential features such as a managed PostgreSQL database, OAuth and JWT authentication, cloud storage, serverless functions, real-time updates, and AI integration, all presented through a well-structured interface that supports agent interaction. In contrast to traditional backends tailored for human developers, InsForge provides its services through a semantic layer and an MCP server, enabling AI agents to comprehend, reason about, and fully manage backend infrastructure autonomously. This unique approach empowers agents to configure databases, oversee schemas, direct authentication processes, deploy application logic, and sustain applications with minimal human input. Furthermore, this platform promotes efficiency and innovation, allowing developers to focus on higher-level tasks while AI handles routine backend operations seamlessly.

Supersonic is an innovative, terminal-focused CRM that leverages AI to streamline agentic workflows, allowing AI agents to take over essential customer relationship management responsibilities that would typically fall to human users. Its foundation lies in the Model Context Protocol (MCP), which presents each CRM function as a structured tool that AI platforms like Claude, Cursor, or Codex can utilize directly for data management and operational execution. This design creates a cohesive workflow that provides AI agents with capabilities akin to those of a classic user interface, facilitating tasks such as data entry, lead assessment, updating deals, and performing follow-ups. Featuring an extensive array of 91 tools categorized into 17 distinct groups, Supersonic ensures that agents can interact with the CRM in a reliable and systematic manner, thereby minimizing errors and enhancing the dependability of automation processes. By eliminating the need for manual data input, it empowers agents to autonomously modify records, initiate workflows, and keep customer information up-to-date in real time, ultimately streamlining the entire customer relationship management experience. The result is a more efficient and effective system that transforms how businesses manage their customer interactions.

Lokuma is a cutting-edge platform that integrates AI-driven website creation with a sophisticated design intelligence component, allowing users and AI agents alike to effortlessly produce structured, high-quality digital experiences. By simply inputting a description of their business, users can quickly generate, modify, and publish professional websites that are optimized for conversions, as Lokuma automatically crafts complete site architectures, compelling copy, layouts, and visuals without the need for any coding or design skills. Unlike conventional website builders that typically depend on templates or rudimentary AI-generated content, Lokuma emphasizes the end result, guaranteeing that every output is ready for production, visually appealing, and optimized for user experience as well as search engine visibility. Beyond its website creation capabilities, Lokuma also features a Design Agent that seamlessly works with AI tools such as Claude, Codex, and Cursor, serving as a “design intelligence layer” that enhances elements like layout, typography, and visual hierarchy, thereby transforming raw AI-generated content into refined, functional designs. This innovative approach not only streamlines the web development process but also empowers users to achieve professional results in a fraction of the time.

Fastio is an AI-ready content management and collaboration platform that brings teams, clients, and intelligent agents together in a single workspace. The platform allows organizations to manage files, projects, and communications while maintaining full control over permissions and access levels. Users can collaborate in real time through comments, shared workspaces, branded portals, and secure guest access features. Fastio supports seamless integration with leading AI assistants, including ChatGPT, Claude, Gemini, Cursor, and other MCP-enabled systems. Its native AI assistant, Ripley, is included with every workspace and helps users automate tasks, answer questions, and streamline operations. The platform's metadata extraction technology converts unstructured content into structured, searchable information that can be analyzed and queried efficiently. Developers can access the same functionality through REST APIs, command-line tools, SDKs, and MCP integrations. Security features include AES-256 encryption, TLS 1.3 protection, workspace isolation, audit trails, and customizable sharing restrictions. By combining content management, collaboration, automation, and AI connectivity, Fastio helps organizations improve productivity across teams and projects.

VibeSecurity is an advanced platform that employs artificial intelligence to conduct vulnerability scans, aimed at safeguarding code generated by AI by persistently evaluating, identifying, and addressing security weaknesses throughout the entire development process. This solution specifically targets contemporary “vibe coding” practices, where developers utilize AI tools to swiftly create code, often inadvertently incorporating concealed vulnerabilities such as insecure authentication methods, exposed tokens, or risks of injection attacks. It leverages intelligent agents to execute real-time analyses of the code, pinpointing security concerns prior to their deployment and offering automated recommendations for fixes along with guidance for implementation. By seamlessly integrating with developer environments via IDE plugins, GitHub applications, and CI/CD pipelines, it facilitates ongoing surveillance of repositories, pull requests, and deployments while ensuring that workflows remain uninterrupted. Additionally, VibeSecurity empowers developers by providing them with the tools they need to enhance the security of their code as they work, ensuring a proactive approach to vulnerability management.

slicer.dev is a powerful browser extension that facilitates the extraction and reuse of components from any website, enabling users to capture both static and interactive elements and seamlessly incorporate them into their projects with ease. By allowing users to navigate to a webpage and select a specific element or section, the tool provides exports in various formats, including React code or AI-compatible prompts for platforms such as Lovable, Bolt, v0, and Cursor. It is designed to maintain the complete structure and functionality of components, including animations and interactive features, ensuring an almost flawless duplication process without the cumbersome need to manually dissect or recreate HTML and CSS. This innovative extension enhances the workflow from idea to execution by transforming real-world UI examples into easily reusable assets, which greatly minimizes both development time and effort. Additionally, slicer.dev allows for the selection of both parent and child elements, enabling precise extraction and organized outputs for user convenience. Ultimately, it empowers developers to accelerate their projects while maintaining high quality and fidelity in their designs.

Bluor is an innovative email marketing design platform that harnesses the power of AI to enable users to effortlessly create fully designed, responsive, and effective email campaigns by simply using natural language prompts. Unlike conventional drag-and-drop builders or the tedious task of manually assembling components, users only need to articulate their campaign concept, and the system generates the entire layout, copy, and visuals in a seamless, brand-aligned format that is ready for deployment on marketing platforms. This platform is crafted to streamline the often-laborious email design process, delivering complete emails in mere seconds—tasks that would typically consume hours for designers or marketers. By prioritizing finished outputs over templates, Bluor guarantees that emails are not only visually appealing but also mobile-responsive and optimized for maximum performance, all without necessitating any design skills. Furthermore, Bluor encourages swift revisions, enabling users to fine-tune their campaigns by modifying prompts and quickly regenerating content. With this approach, marketers can enhance their creativity and efficiency, ultimately leading to more impactful email communications.

OpenSpec is an open-source framework designed to enhance AI-assisted development through a structured, spec-driven approach. It provides a system for defining requirements before coding, ensuring alignment between developers and AI tools. The platform organizes work into clear artifacts, including proposals, specifications, design documents, and task checklists. It integrates with more than 20 AI coding assistants, making it compatible with a wide range of tools and workflows. OpenSpec promotes an iterative and flexible process, allowing teams to refine specifications as projects evolve. Its command-based interface enables users to propose features, implement changes, and archive completed work efficiently. By introducing structure, it reduces the unpredictability often associated with AI-generated code. The framework supports both individual developers and large teams, scaling across different project sizes. It also emphasizes context management to improve the accuracy and relevance of AI outputs. Ultimately, OpenSpec helps teams build software more reliably by combining human intent with AI execution in a structured workflow.

Mercury Edit 2 is a cutting-edge AI model from Inception Labs, part of the Mercury suite, specifically crafted for rapid reasoning, coding, and editing by employing a novel architecture distinctly different from typical large language models. It enhances the capabilities of Mercury 2, a diffusion-based model that generates and refines complete outputs simultaneously, rather than the conventional method of creating text one token at a time, which results in markedly improved speeds and more agile editing processes. Rather than functioning as a linear “typewriter,” this system operates as a dynamic editor, beginning with a rough draft and methodically enhancing it across multiple tokens simultaneously, facilitating real-time engagement and swift iterations in various tasks such as code editing, content creation, and agent-based workflows. This innovative framework achieves an impressive throughput of up to approximately 1,000 tokens per second, significantly outpacing traditional models while still upholding competitive reasoning abilities across various benchmarks. Its unique design not only transforms the way users interact with AI but also sets a new standard for performance in the field of artificial intelligence.

ui.sh is a terminal-centric toolkit aimed at empowering coding assistants to create high-quality user interfaces directly within a developer’s workflow, effectively transforming the terminal into a design engineer's platform. Specifically crafted for integration with AI coding tools like Claude Code, Cursor, Codex, and other similar agents, it enhances the UI output quality without the need for separate design applications or tedious manual adjustments. The toolkit is dedicated to elevating the standard of AI-generated interfaces by offering a systematic approach that focuses on layout, styling, and usability, thereby helping developers steer clear of poorly designed or inconsistent UI outcomes. By seamlessly fitting into terminal-based workflows, it enables developers to initiate UI creation, iterate on designs, and fine-tune components in real time, all within their current development setup. Developed by the team behind Tailwind CSS and Refactoring UI, the tool underscores the importance of delivering clean, production-ready design outputs, ensuring that developers have the resources they need to create visually appealing interfaces efficiently. This integration of design and coding not only streamlines the development process but also fosters creativity by allowing developers to experiment with their designs dynamically.

TypeUI is an open-source command-line tool crafted for agentic design, allowing developers to implement a cohesive and organized design framework throughout AI-generated code by creating and overseeing standardized files. Serving as a design layer for AI programming utilities, it guarantees that the interfaces generated by various agents adhere to uniform visual guidelines concerning typography, color, spacing, and component styling, irrespective of the model or provider utilized. This solution tackles a significant issue in AI-assisted software development, as outputs from tools like Claude Code, Cursor, Codex, or Gemini often exhibit notable inconsistencies in style. By introducing a versatile design blueprint, TypeUI promotes consistency across different projects. Users can effortlessly generate design systems through a straightforward CLI workflow, respond to guided prompts, access pre-existing “design skills” from a registry, or modify current configurations without the need for complete reconstruction. Ultimately, TypeUI empowers developers to focus more on functionality while maintaining aesthetic coherence in their applications.

Think of Agentcy as a marketing expert sitting inside your AI tools. It plugs into Claude, ChatGPT, Cursor, VS Code, and other AI clients you already use. Ask it anything about your marketing data and it figures out the rest. Connect your data sources (GA4, Google Ads, Search Console, WooCommerce, HubSpot, SpyFu, and more), configure your domains, and start asking questions. Setup takes 5 minutes. Little to no technical skills needed. Questions that used to take 30+ minutes of manual work now take seconds: - "Give me a Q1 scorecard covering paid, organic, and traffic with MoM and YoY." - "Which keywords are we ranking positions 11-20 with high impressions? Those are our SEO quick wins." - "Audit last month's Google Ads spend. Which campaigns should we cut?" Every answer comes back with insights and recommendations included. Free plan with 50 queries/month, paid plans from $29/mo at goagentcy.com.

TinyFish is a web infrastructure platform for developers and AI teams building agents and applications that need to access or operate across the web. The platform includes four connected product surfaces: 1. Search provides agent-optimized web search with current results structured for AI consumption. 2. Fetch extracts clean content from specified URLs and returns it as markdown, JSON, or HTML. It supports dynamic, JavaScript-heavy, and single-page application websites. 3. Browser provides managed cloud Chrome sessions, fingerprinting, session infrastructure, scaling, and browser management. 4. Web Agent takes a goal and a URL, navigates a website, works through filters and pagination, fills forms, authenticates when required, and returns the requested result. 5. Vault and Profiles support Web Agent workflows by securely handling credentials and identity for authenticated website operations. Together, these capabilities allow developers to move from web discovery and content retrieval into complete, multi-step web operations without assembling and maintaining separate infrastructure products.

Mantle AI is an innovative platform built for the AI-driven automation of back-office functions, seamlessly integrating a company's current tools into a cohesive intelligent framework where autonomous agents can comprehend context and carry out tasks efficiently. This platform connects directly with various systems, including CRM, email, calendar, payment solutions, and product analytics, establishing a unified data layer that eliminates the need for complex setups or data migrations. Users can effortlessly create internal AI agents using a straightforward prompt, articulating their objectives in simple language while the platform manages the execution logic intelligently. These agents possess the capability to operate continuously in the background, respond to real-time events, adhere to pre-set schedules, or engage interactively when necessary, facilitating workflows such as automated reporting, monitoring customer health, conducting pre-meeting research, and drafting contextual emails. By prioritizing adaptability over rigid systems, Mantle AI enables agents to function similarly to human operators, retrieving information from multiple sources as needed, thereby enhancing operational efficiency. The result is a more streamlined approach to back-office tasks that empowers organizations to focus on strategic initiatives rather than mundane processes.

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.

Your AI agents lack a true comprehension of your codebase; it's time to transition from mere text searching to genuine code understanding. Traditional AI coding agents often squander their context window on searching through files and making assumptions about the structure of the code. With Constellation, you can provide them with a comprehensive, team-wide knowledge graph of your codebase, which includes features like symbol search, dependency graphs, and impact analysis, all accessed through MCP. This innovative approach ensures that every token is utilized for reasoning rather than for the discovery process, leading to greater efficiency and more accurate code comprehension. By enhancing the understanding of the code, your team can work more cohesively and effectively.

Agentspan is an innovative open-source server and SDK that introduces robust execution capabilities for AI agents, redefining their operation in practical settings that go beyond mere demonstrations. It empowers developers to create agents using Python and convert them into reliable, persistent workflows that safeguard execution state on the server, which prevents any loss of progress during system failures or restarts. This unique setup allows agents to pause and resume their tasks exactly where they stopped, even if they reconnect from a different device. Furthermore, it facilitates human oversight by allowing agents to pause for user approval and then continue effortlessly via platforms like Slack, web interfaces, or code. Additionally, Agentspan supports complex multi-agent workflows, enabling multiple agents to be interconnected in a single sequence, ensuring that every step is meticulously logged, monitored, and recoverable throughout the entire process. This comprehensive approach enhances both the reliability and flexibility of AI applications in various operational contexts.

Docsio is an innovative documentation platform powered by AI, which transforms existing product materials into a fully organized and branded documentation website in just minutes, thus removing the complexities of manual configuration, coding, or deployment processes. By simply pasting a URL or uploading resources such as product requirement documents, specifications, or internal files, users enable an AI agent to systematically map the product, extract essential branding elements like colors, logos, and typography, and create a comprehensive documentation ecosystem that encompasses guides, feature pages, and API references. The platform promotes a streamlined “paste, generate, live” approach, allowing users to construct their site in real time and instantly preview it prior to publication. All content can be modified using natural language through an embedded AI editor, which effortlessly adapts layout, navigation, styling, or text without necessitating any knowledge of Markdown, Git, or CSS. Furthermore, Docsio offers integrated hosting complete with SSL, supports custom domains, and features a one-click publishing option, making it an ideal choice for teams looking to enhance their documentation process efficiently. This combination of features ensures that users can maintain an up-to-date and professional documentation site with minimal effort.

Artyfacts serves as a robust workspace platform tailored for AI agents, transforming their outputs into structured and reusable assets such as research papers, specifications, reports, and documentation, thereby enabling these elements to persist beyond transient chat sessions. This innovative solution tackles a significant drawback of existing AI workflows, where valuable content often gets lost or scattered across various chat logs, by creating a centralized hub that allows for efficient storage, organization, and iterative development of the work produced by agents over time. It accommodates outputs from a variety of AI systems, including Claude, OpenClaw, and other agents, facilitating teams to streamline their workflows irrespective of the specific AI model in use. Instead of viewing AI interactions as temporary exchanges, Artyfacts reimagines them as enduring artifacts that can be easily referenced, modified, and expanded upon, thus enhancing continuity and collaboration in intricate projects. Ultimately, it acts as an essential workspace layer that supports both agent-driven development and research endeavors, paving the way for more structured and effective project management. By doing so, Artyfacts not only optimizes productivity but also fosters a culture of knowledge sharing and innovation within teams.

Shaders is a library based on components that is crafted to integrate GPU-accelerated visual effects into contemporary web applications, facilitating developers and designers in the creation of interactive, high-performance visuals through WebGPU directly in the browser. It features a declarative approach, enabling users to assemble effects like animated backgrounds, image distortions, lighting effects, and dynamic UI components as reusable elements that work seamlessly with frameworks such as React, Vue, Svelte, Solid, and plain JavaScript. A key aspect of this library is its visual design editor, which empowers users to test and modify effects in real-time, enabling them to export clean, production-ready code for smooth integration into frontend projects, thus minimizing the necessity for intricate shader programming. Additionally, it boasts an expanding assortment of presets and collections, which permits users to easily apply complex visual styles, including gradients, holographic effects, liquid animations, and ASCII transformations, without the effort of building these elements from the ground up. This unique combination of features makes Shaders an invaluable tool for enhancing web applications with stunning visual effects.

Subspace serves as an innovative workspace for AI-native agents, specifically crafted to aid developers and teams in the oversight, coordination, and collaboration with various coding agents within a cohesive environment that maintains context throughout different sessions. Rather than considering each interaction with AI as a separate event, this platform actively cultivates a persistent memory system that compresses every dialogue into structured insights, encompassing decisions, obstacles, and advancements, which are consistently refined to reflect an evolving state of the project. This collective memory is associated with the overall workspace instead of any specific tool, enabling diverse agents, such as Claude Code, Codex, and others, to seamlessly continue from where prior sessions concluded without the need for repetitive explanations or manual context shifts. With Subspace, users can integrate terminals, files, documentation, browser views, and git workflows into well-organized workspaces, allowing for the simultaneous operation of multiple agents while facilitating rapid transitions between different projects. Consequently, this comprehensive approach enhances productivity and collaboration, paving the way for more efficient development processes.

Knostic functions as a comprehensive platform for enterprise AI security and governance, aiming to safeguard against data leaks and regulate the manner in which large language models utilize and disseminate information within businesses. It implements access controls based on a “need-to-know” principle, which adaptively decides what data an AI can disclose according to the user's role, the context, and their intent, instead of depending solely on conventional file permissions. By concentrating on the knowledge layer that exists between unprocessed data and AI-generated outputs, it scrutinizes how information is inferred, merged, and presented to guarantee that sensitive material is not inadvertently shared. Knostic also ensures ongoing monitoring of AI operations across various applications, including Copilot and other assistants powered by large language models, while pinpointing potential threats like semantic oversharing, exposure through inference, and unauthorized access to knowledge. Furthermore, it conducts simulations of practical prompts to reveal unnoticed vulnerabilities prior to their implementation, assigns numerical risk evaluations, and empowers organizations to apply detailed policies effectively. This dual focus on proactive risk assessment and ongoing governance positions Knostic as an essential tool for safeguarding organizational integrity in the evolving landscape of AI technology.

Supermodel is a platform tailored for developers, offering graph-based tools and APIs designed to enhance the comprehension of intricate codebases for AI agents and engineers, thereby elevating the quality and precision of outputs generated by AI. Central to this platform is the CodeGraph API, which constructs organized representations of software systems, including dependency graphs, call graphs, and architectural maps, facilitating more effective navigation and reasoning about extensive codebases for both humans and AI models alike. This powerful tool allows for an in-depth analysis of codebases by revealing the relationships among files, functions, and modules, providing immediate insight into the structure of systems and the interactions between their components. By supporting various applications such as the creation of architecture documentation, exploring repository layouts, and visualizing dependencies, it empowers developers to swiftly grasp unfamiliar projects or navigate complex, large-scale systems, ultimately streamlining the development process and enhancing collaborative efforts. In essence, Supermodel is redefining how developers and AI interact with software, making it easier to tackle challenges inherent in large codebases.

T3 Code serves as a streamlined web GUI tailored for coding agents like Codex, aiming to provide these agents with a more efficient work environment compared to traditional terminal setups. This tool is available for free, is open source, and is designed for quick installation, allowing users to connect it with existing harnesses they already utilize. Featuring a sleek, contemporary interface, T3 Code facilitates interaction with AI coding assistants via both web and desktop platforms, offering features such as session management, persistent state retention, thread oversight, and real-time collaboration capabilities. Developers can engage with coding agents through an easy-to-use chat interface, manage coding sessions across multiple projects, monitor changes thanks to integrated git support and checkpointing, and regulate access through distinct runtime modes like Full Access and Supervised. Moreover, T3 Code is built with flexibility in mind, allowing for modifications and customizations under an MIT license, which supports commercial use, and it utilizes TypeScript with robust end-to-end typing, all organized within a monorepo that encompasses desktop, web, server, and harness components, enhancing its versatility and utility for developers. This commitment to adaptability and user-friendliness makes T3 Code an appealing choice for developers seeking to improve their coding workflows.