List of the Top AI Agent Infrastructure Platforms for Cursor in 2026

Cotlet functions as a cloud-based MCP server and REST API, allowing AI agents to engage with web applications lacking a functional API. Users can connect their applications and access them through a personal Chrome browser hosted in the cloud, facilitating agents to execute supported read and write tasks via the MCP, while scripts and backend systems can take advantage of the REST API. The platform offers a diverse integration catalog that includes tasks such as making reservations, organizing travel, managing customer support inquiries, processing invoices, and enhancing marketing initiatives. Cotlet specifically caters to developers and teams dedicated to building agent workflows, as well as automation providers who partner with their clients' applications. It is compatible with multiple MCP clients, including Claude, ChatGPT, Cursor, GitHub Copilot, Gemini, Windsurf, and n8n. The connected applications utilize the account holder's signed-in session, and Cotlet guarantees that user passwords are not stored, ensuring that browser profiles are encrypted for security. Successful API interactions deduct credits from the user's account, while errors and timeouts do not result in any charges. The company is committed to routinely testing and updating its integrations to adapt to any changes in the linked applications, which improves reliability and enhances user experience. By offering these functionalities, Cotlet significantly simplifies the automation process to meet a wide range of user requirements, fostering efficiency and innovation in application interactions.

TinyFish represents a groundbreaking AI platform designed for enterprises, specializing in the creation and management of "enterprise web agents" that can perform complex workflows across the internet on a large scale. Instead of relying solely on APIs or manual processes, these agents mimic human behavior by navigating various websites, gathering essential data, and executing multi-step tasks across multiple platforms at once. This innovative method effectively tackles the rising challenges of today's online ecosystem, where critical information is often dispersed, behind secure logins, or constantly changing, rendering conventional automation techniques less effective. The advanced infrastructure supporting TinyFish's agents enables them to learn, adapt, and scale effectively, ensuring they remain accurate and dependable despite the dynamic nature of web environments. The platform is designed to focus on achieving specific goals rather than just completing disconnected tasks, empowering agents to manage extensive processes such as pricing intelligence, inventory oversight, or market analysis from start to finish. Consequently, TinyFish not only simplifies operational workflows but also significantly boosts the ability of businesses to derive valuable insights from various data sources, ultimately enhancing decision-making capabilities. Furthermore, the adaptability of these agents allows organizations to stay competitive and responsive to ever-changing market conditions.

KERNEL is a cloud-based infrastructure designed specifically for developers who are building AI agents to automate web interactions. It provides managed browser sessions that allow these agents to navigate websites, interact with content, and perform tasks through programming instead of relying on conventional local browser setups. The platform is built for production environments and includes features such as persistent browser profiles, live session monitoring, and capabilities for recording and replaying sessions, along with tools for effective browser access management. With KERNEL, teams can easily integrate their agent workflows through the platform's APIs, SDKs, and hosted MCP server, making it perfect for web research, data gathering, and other tasks that require web interaction. Moreover, KERNEL offers a variety of subscription plans that cater to individuals, startups, and large organizations, each offering differing levels of browser concurrency, usage credits, and access to advanced features such as managed authentication, stealth mode, and region-specific browsers. As a result, KERNEL not only meets diverse web automation requirements but also enhances the efficiency of teams working on complex projects. In conclusion, KERNEL emerges as a robust solution that addresses a wide array of needs in the realm of web automation.

Composio Instant is a cloud-based wallet that allows AI agents to utilize paid tools without requiring developers to individually subscribe to each service or configure API keys for every tool. By connecting Instant to an agent session, developers can choose which tools to make available, all while using a shared organization balance that keeps track of every transaction in execution logs. Each interaction with the tools subtracts from this communal balance at a fee per use, and new developer organizations receive a one-time $2 credit to kickstart their experience. The platform provides a diverse range of services, including web searching, data enrichment, web scraping, transcription, voice services, weather updates, and document processing. Developers can seamlessly integrate these functionalities by leveraging Composio’s SDKs and MCP-compatible agent clients such as Claude, ChatGPT, Codex, Cursor, Gemini CLI, Grok, and Visual Studio Code. Instant is tailored specifically for developers and teams engaged in the creation or management of AI agents that need quick access to various external services, thereby simplifying the integration process significantly. This innovative functionality not only improves operational efficiency but also offers enhanced flexibility for deploying AI capabilities in diverse applications, making it an invaluable resource for modern tech development.

Runx serves as an open-source command-line tool designed for the creation, exploration, and execution of governed skills intended for AI agents. It empowers developers to create structured workflows, designate specific permissions and credentials, and run skills locally on their own provider accounts. This system incorporates the ability to pause executions for required approvals or inputs, while also maintaining a signed receipt for review and validation purposes. Developers can source skills from a public registry and seamlessly integrate them with various compatible agents, such as Claude Code, Cursor, and Codex. Moreover, an optional hosted service can streamline managed OAuth connections, scoped grants, API submissions and inspections, approval management, and the notarization of receipts. The command-line interface is versatile enough to operate in both local and self-hosted environments. Runx is tailored specifically for developers and platform teams who are focused on creating and overseeing AI-agent workflows that necessitate clear authority delineations and auditable execution methods. In addition, its features foster improved collaboration and enhance security protocols essential for the development of solutions driven by artificial intelligence, ultimately contributing to more efficient project management.

Reflexio acts as a comprehensive platform tailored for developers dedicated to the creation and oversight of AI agents, employing multiple input approaches including an SDK, REST API, CLI, or integration with compatible tracing platforms to collect data from agent actions, execution logs, tool interactions, and user feedback. By pinpointing frequent errors, it produces reusable playbooks and user profiles which significantly contribute to the learning curve. When an agent is actively functioning, it can draw on relevant insights derived from these experiences to enhance its responses. The Hosted Enterprise portal offers teams the ability to investigate, alter, approve, reject, search, and evaluate the accumulated knowledge efficiently. Reflexio empowers agents to make essential adjustments throughout various interactions without the need to modify the foundational model weights. Additionally, teams enjoy the option of using the managed cloud service, configuring their model-provider keys, or pursuing self-hosting options on platforms such as AWS, Google Cloud, or Azure. Moreover, enterprise trace imports are compatible with sources like Braintrust, Langfuse Cloud, and LangSmith Cloud, while Reflexio includes a mem0 wrapper and integration with OpenClaw, providing an extensive array of tools designed to enhance agent efficacy. This diverse strategy not only enables developers to fine-tune their AI agents but also maximizes the adaptability of deployment choices, ultimately leading to more robust and efficient AI solutions. By combining all these features, Reflexio paves the way for innovative advancements in AI agent development.

VideoDB functions as a sophisticated backend solution for AI agents, enabling them to analyze, understand, and react to audio and video content in real time. It serves as a bridge between raw media streams and the reasoning abilities of agents, converting live streams into well-structured, searchable contextual data accompanied by actionable insights. Our integrated See->Understand->Act methodology eliminates the reliance on a fragmented assortment of tools like FFmpeg, vector databases, and transcription services by providing a unified, programmable media framework. The cutting-edge "Indexes-as-code" capability allows developers to extract insights from both spoken language and visual aspects with nearly instant response times. With support for Python and Node.js SDKs, VideoDB seamlessly connects with platforms such as Claude, Cursor, and Codex via the Model Context Protocol (MCP). Its design emphasizes streaming, ensuring that agents maintain a constant awareness of their surroundings rather than depending exclusively on static files. Whether utilized for creating an AI meeting assistant, improving camera intelligence, or streamlining automated media editing, VideoDB provides the crucial perception framework needed for a wide range of applications. Consequently, it greatly enhances the performance of AI agents, enabling them to work more efficiently and responsively within ever-changing environments. This transformative capability positions VideoDB as an essential tool for developers looking to harness the full potential of AI in multimedia applications.

NoMac provides cloud-hosted virtual machines that operate macOS on Apple silicon, tailored specifically for developers working on iOS and macOS applications. Each user session is fully equipped with macOS, Xcode, and the required iOS simulator runtimes, along with vital development tools, facilitating smooth building, testing, and simulation processes without the need for a physical Mac device. Developers can conveniently manage their sessions through various interfaces, including a browser desktop interface, Command Line Interface (CLI), SSH, HTTPS API, or even a hosted Model Context Protocol (MCP) server. Their workflows cover a range of activities such as app development, simulator operations, capturing screenshots, application signing, and preparing builds for TestFlight. Each session runs on a fresh virtual machine that is eliminated after use, guaranteeing a pristine working environment for every new session. Users have the option to retain their projects and build caches across sessions by utilizing an account drive for storage. NoMac specifically serves iOS and macOS developers, accommodating teams that use coding agents requiring Xcode, including those developing from Windows or Linux platforms. The pricing model operates on a per-minute basis, charging from prepaid credits with a minimum billing increment of one minute and a maximum expenditure limit per session. This approach enables developers to manage their resources effectively and keep costs in check while ensuring they have continuous access to essential development tools. Consequently, NoMac stands as a flexible and economical solution for developers seeking to streamline their workflow in a cloud-based environment.

Ovrin is a cloud-based computing platform specifically designed for developers engaged in creating AI agents and software that need to run in controlled environments. The platform allows users to utilize a REST API, Python, and TypeScript SDKs or an MCP server to create temporary Linux sandboxes, execute shell commands, manage stateful code, handle files, configure scoped API keys, and retrieve execution results. It also includes prebuilt configurations like Claude Code, OpenAI Codex, Gemini CLI, and DeepSeek Harness, while offering browser workflows that work seamlessly with Chrome and Playwright. Furthermore, Ovrin incorporates features such as persistent memory, lifecycle controls for sandboxes, usage analytics, and concurrency limitations. Typical use cases for Ovrin involve running coding agents, automating browser-based tasks, and executing code produced by various models. Importantly, the platform provides a free tier, with multiple paid plans available that enhance concurrency and compute costs based on usage. In essence, Ovrin is designed to facilitate and optimize the development of AI solutions by delivering a dynamic and adaptable environment for developers. Additionally, its user-friendly interface and comprehensive features make it an appealing option for both novice and experienced programmers alike.