Best AI Agent Infrastructure Platforms with a Free Trial of 2026

Google Cloud is an online service that lets you create everything from simple websites to complex apps for businesses of any size. Customers who are new to the system will receive $300 in credits for testing, deploying, and running workloads. Customers can use up to 25+ products free of charge. Use Google's core data analytics and machine learning. All enterprises can use it. It is secure and fully featured. Use big data to build better products and find answers faster. You can grow from prototypes to production and even to planet-scale without worrying about reliability, capacity or performance. Virtual machines with proven performance/price advantages, to a fully-managed app development platform. High performance, scalable, resilient object storage and databases. Google's private fibre network offers the latest software-defined networking solutions. Fully managed data warehousing and data exploration, Hadoop/Spark and messaging.

Movestax is a platform that focuses on serverless functions for builders. Movestax offers a range of services, including serverless functions, databases and authentication. Movestax has the services that you need to grow, whether you're starting out or scaling quickly. Instantly deploy frontend and backend apps with integrated CI/CD. PostgreSQL and MySQL are fully managed, scalable, and just work. Create sophisticated workflows and integrate them directly into your cloud infrastructure. Run serverless functions to automate tasks without managing servers. Movestax's integrated authentication system simplifies user management. Accelerate development by leveraging pre-built APIs. Object storage is a secure, scalable way to store and retrieve files.

Microsoft Azure serves as a versatile cloud computing platform that facilitates swift and secure development, testing, and management of applications. With Azure, you can innovate purposefully, transforming your concepts into actionable solutions through access to over 100 services that enable you to build, deploy, and manage applications in various environments—be it in the cloud, on-premises, or at the edge—utilizing your preferred tools and frameworks. The continuous advancements from Microsoft empower your current development needs while also aligning with your future product aspirations. Committed to open-source principles and accommodating all programming languages and frameworks, Azure allows you the freedom to build in your desired manner and deploy wherever it suits you best. Whether you're operating on-premises, in the cloud, or at the edge, Azure is ready to adapt to your current setup. Additionally, it offers services tailored for hybrid cloud environments, enabling seamless integration and management. Security is a foundational aspect, reinforced by a team of experts and proactive compliance measures that are trusted by enterprises, governments, and startups alike. Ultimately, Azure represents a reliable cloud solution, backed by impressive performance metrics that validate its trustworthiness. This platform not only meets your needs today but also equips you for the evolving challenges of tomorrow.

Domino is a comprehensive enterprise AI platform that enables organizations to transform AI initiatives into scalable, production-ready systems. It supports the full AI lifecycle, including data access, model development, deployment, and ongoing management. The platform provides a self-service environment where data scientists can access tools, datasets, and compute resources with built-in governance and security controls. Domino allows teams to build machine learning models, generative AI applications, and intelligent agents using their preferred development environments. It also includes advanced orchestration capabilities to manage workloads across hybrid, multi-cloud, and on-premises infrastructures. Governance features such as model registries, audit trails, and policy enforcement ensure compliance and reproducibility. The platform enhances collaboration by providing a centralized system of record for all AI assets and experiments. Additionally, it helps organizations optimize costs through resource management and usage tracking. Domino is designed to meet enterprise standards for security and regulatory compliance. Ultimately, it empowers businesses to accelerate AI innovation while maintaining operational control and accountability.

AI can reason, but real work often stops at a login, unsupported interface, paid service, missing software, or decision that needs a person. Solid gives that missing layer a name: the operating system for always-on AI agents. Its persistent AI agent runtime keeps approved context and work moving after the chat closes. Subject to permissions and system policies, a Solid-powered agent can use APIs and MCP connections, operate browsers, desktops, phones, and software interfaces, or write and test code to create the missing path. Solid can coordinate models and tools, recover where the workflow permits, check completion, and route sensitive or out-of-policy actions through human-in-the-loop approvals. Supported computers, approved identities and accounts, credentials, phone numbers, cloud resources, and paid services remain subject to customer permissions, budgets, policies, and availability. Developers can use Solid's API to place an agent inside their own product.

Cotlet serves as a hosted MCP server and REST API that enables AI agents to interact with web applications that do not offer a functional API. Users can link their applications and log in via a personal Chrome browser that is hosted in the cloud; this allows agents to perform supported read and write operations through the MCP, while scripts and backend systems can leverage the REST API. The platform's integration catalog includes a variety of tasks such as making bookings, managing travel, handling customer support, processing invoices, and facilitating marketing efforts. Cotlet targets developers and teams focused on creating agent workflows, along with automation providers who collaborate with their clients' applications. It is compatible with a range of MCP clients, including Claude, ChatGPT, Cursor, GitHub Copilot, Gemini, Windsurf, and n8n. The applications that are connected utilize the signed-in session of the account holder; Cotlet assures users that it does not retain passwords and encrypts the profiles of the browsers. Successful API calls deduct credits from the user’s account, whereas errors and timeouts do not incur any costs. The company ensures that its integrations are routinely tested and updated to reflect any changes in the connected applications, enhancing reliability and user experience. By providing such features, Cotlet effectively streamlines the automation process for various user needs.

Control Plane is the platform for running unbreakable apps and agents. It combines any cloud, neocloud, and bare metal, including AWS, Google Cloud, Azure, and your own Kubernetes clusters, into one Global Virtual Cloud. Every workload runs active-active across the locations you choose, and a global endpoint sends each request to the nearest healthy location, so a zone, region, or provider outage does not take your service down. It runs serverless, standard, stateful, cron, and VM workloads with no application changes. Workloads reach 600+ AWS, GCP, and Azure services through Universal Cloud Identity, with no long-lived cloud keys in code, and Cloud Wormhole connects them to private VPCs and data centers. Autoscaling, observability, mutual TLS, secrets, and an audit trail are built in, with no Kubernetes cluster to operate. Customers typically cut compute costs 30 to 50 percent compared with running directly on AWS, GCP, or Azure.

Fly.io is a developer-focused cloud platform that provides fast, scalable infrastructure for running applications and services globally. It introduces Fly Machines, which are hardware-virtualized containers that launch instantly and run only when needed. The platform enables developers to deploy applications quickly without managing complex cloud configurations. With support for multiple programming frameworks, Fly.io allows users to build using the tools they already know. It offers secure sandbox environments, making it suitable for running untrusted or AI-generated code safely. The platform includes global deployment across multiple regions, ensuring fast response times for users everywhere. Built-in private networking and encryption enhance security and connectivity. Fly.io also provides flexible storage options, including fast local storage and durable object storage. Its autoscaling capabilities allow applications to handle varying workloads efficiently. Overall, Fly.io simplifies cloud infrastructure while delivering performance, flexibility, and scalability.

Mistral AI Studio serves as a comprehensive platform for organizations and development teams to create, tailor, deploy, and oversee sophisticated AI agents, models, and workflows, guiding them from initial concepts to full-scale production. This platform includes a variety of reusable components such as agents, tools, connectors, guardrails, datasets, workflows, and evaluation mechanisms, all enhanced by observability and telemetry features that allow users to monitor agent performance, identify root causes, and ensure transparency in AI operations. With capabilities like Agent Runtime for facilitating the repetition and sharing of multi-step AI behaviors, AI Registry for organizing and managing model assets, and Data & Tool Connections that ensure smooth integration with existing enterprise systems, Mistral AI Studio accommodates a wide range of tasks, from refining open-source models to integrating them seamlessly into infrastructure and deploying robust AI solutions at an enterprise level. Furthermore, the platform's modular design promotes flexibility, enabling teams to adapt and scale their AI initiatives as needed.

Sprites by Fly.io is a stateful sandbox environment platform designed to run arbitrary code in isolated Linux computers. Each Sprite is a hardware-isolated execution environment that can persist across runs, making it useful for AI agents, uploaded binaries, developer tools, and application workloads. The platform is built around checkpoint and restore, allowing workloads to pause, resume, and keep state instead of rebuilding the environment repeatedly. Sprites provide a fast NVMe filesystem that syncs continuously to durable external object storage. This tiered storage approach gives users compatibility with normal Linux filesystem behavior while only charging for the data they actually use. Developers can start with the Sprites CLI by logging in, creating a Sprite, executing commands, and connecting to the console. The platform also supports REST API access and SDKs for JavaScript, Go, Elixir, and Python. Pricing is usage-based across CPU time, memory time, hot storage, and cold storage. By combining sandbox VMs, persistent filesystems, checkpointing, APIs, network policy, and pay-as-you-go pricing, Sprites gives developers a practical runtime for AI agents and untrusted code execution.

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.

KERNEL serves as a cloud-based browser infrastructure solution tailored for developers who create AI agents and automate web interactions. By offering managed browser sessions, it enables these agents to explore websites, engage with content, and execute tasks through programming rather than depending on traditional local browser configurations. The platform is optimized for production use, featuring persistent browser profiles, live session monitoring, recording, and replay functionalities, along with tools to oversee browser access effectively. Teams can seamlessly integrate their agent workflows using KERNEL's APIs, SDKs, and hosted MCP server, making it ideal for web research, data collection, and various activities that necessitate web engagement. Additionally, KERNEL offers various subscription options for individuals, startups, and large enterprises, each providing different levels of browser concurrency, usage credits, and access to advanced features like managed authentication, stealth mode, and region-specific browsers. Ultimately, KERNEL stands out as a comprehensive solution catering to a wide range of web automation needs.

Introducing an advanced enterprise studio designed for AI developers to effectively train, validate, fine-tune, and deploy AI models. The IBM® watsonx.ai™ AI studio is an integral component of the IBM watsonx™ AI and data platform, which unifies innovative generative AI capabilities driven by foundation models alongside traditional machine learning techniques, creating a robust environment that covers the entire AI lifecycle. Users can adjust and direct models using their own enterprise data to fulfill specific requirements, benefiting from intuitive tools designed for constructing and optimizing effective prompts. With watsonx.ai, you can develop AI applications significantly faster and with less data than ever before. Key features of watsonx.ai include: comprehensive AI governance that empowers enterprises to enhance and amplify the use of AI with reliable data across various sectors, and versatile, multi-cloud deployment options that allow seamless integration and execution of AI workloads within your preferred hybrid-cloud architecture. This makes it easier than ever for businesses to harness the full potential of AI technology.

Investigate the most recent advancements in optimized AI models, link AI agents to data using NVIDIA NeMo, and deploy solutions seamlessly with NVIDIA NIM microservices. NVIDIA NIM comprises user-friendly inference microservices that enable the implementation of foundation models across various cloud platforms or data centers, thereby maintaining data security while promoting efficient AI integration. Furthermore, NVIDIA AI offers access to the Deep Learning Institute (DLI), where individuals can receive technical training to develop valuable skills, gain practical experience, and acquire expert knowledge in AI, data science, and accelerated computing. AI models produce responses based on sophisticated algorithms and machine learning techniques; however, these outputs may sometimes be inaccurate, biased, harmful, or inappropriate. Engaging with this model comes with the understanding that you accept the associated risks of any potential harm stemming from its responses or outputs. As a precaution, refrain from uploading any sensitive information or personal data unless you have explicit permission, and be aware that your usage will be tracked for security monitoring. Remember, the evolving landscape of AI requires users to stay informed and vigilant about the implications of deploying such technologies.

VideoDB serves as an advanced backend solution for AI agents, empowering them to perceive, interpret, and respond to audio and video content in real time. It acts as an intermediary between unprocessed media streams and the reasoning capabilities of agents, transforming ongoing streams into organized, searchable contextual data complete with actionable evidence. Our comprehensive See->Understand->Act process eliminates the need for a disjointed array of tools such as FFmpeg, vector databases, and transcription services by offering a single, programmable media framework. With the innovative "Indexes-as-code" feature, developers can derive insights from spoken language and visual elements with almost instantaneous response times. Supporting both Python and Node.js SDKs, VideoDB integrates smoothly with platforms like Claude, Cursor, and Codex through the Model Context Protocol (MCP). Its architecture prioritizes streaming, ensuring that your agents maintain continuous awareness of their environment instead of relying solely on fixed files. From creating an AI meeting assistant to enhancing camera intelligence or facilitating automated media editing, VideoDB delivers the essential perception framework required for a variety of applications. In doing so, it significantly enhances the capabilities of AI agents, allowing them to operate more effectively and responsively in dynamic settings.

Phinite offers a comprehensive shared infrastructure designed for the efficient construction, deployment, and governance of AI agents, encompassing orchestration, security, observability, lifecycle management, and environment promotion, which allows engineering teams to avoid the repetitive task of rebuilding these foundational layers for each new agent application. Key features include orchestration capabilities for multi-agent systems that facilitate agent-to-agent interactions and nested calls, in-depth session-level observability that tracks execution timelines, decision variables, tool usages, and associated latency and cost metrics. Additionally, Phinite boasts a Private Agent Registry to enhance skill discoverability, an evaluation suite for assessing accuracy and safety benchmarks, and a streamlined Dev-to-Production workflow that supports seamless environment promotion. Moreover, it enables Kubernetes-native deployments and VPC-internal deployability while ensuring adherence to SOC 2 Type 2 compliance standards, ultimately providing a robust environment for developing AI agents efficiently. This combination of features not only enhances productivity but also fosters innovation within engineering teams.

Dead Simple Email offers an email API that provides genuine email inboxes for AI agents and automated workflows. With just a single API call, users can set up an inbox and communicate using real email addresses via REST or standard IMAP/SMTP protocols, while receiving replies formatted as structured webhooks. Incoming messages undergo a prompt injection check prior to delivery, and users can access a dashboard that displays the complete history of communications for each agent. The service begins with a free plan that includes 5 inboxes, with an option to upgrade to 100 inboxes for $29 per month, charging based on the number of inboxes rather than the number of users. This flexibility makes it an appealing choice for businesses looking to integrate email functionality seamlessly into their automated systems.

Nimbus fosters collaboration by providing a unified platform where teams can communicate collectively, work alongside AI agents, streamline repetitive tasks, and enable executives to manage AI usage effectively. In this environment, discussions revolve around the work itself—covering briefs, files, and decisions—rather than relying on fragmented private chats that are difficult to piece together later. Teams and AI agents join forces on projects, with AI assisting in research and drafting, allowing team members to remain engaged and complete tasks together. Once a workflow is established, it can be automated to run continuously, with human input required only for critical decisions, creating a smooth, ongoing process rather than a series of isolated prompts. Leadership is empowered to monitor AI utilization, establish guidelines for its application, and ensure accountability by designating responsible parties before significant actions are taken. Currently, many organizations find themselves with AI scattered across personal tools and uncoordinated pilot programs, lacking centralized ownership and strategy. By consolidating these efforts into a single platform, Nimbus offers a comprehensive solution for enhancing productivity and accountability in the workplace.

Scalebrowser provides a self-hosted infrastructure designed specifically for AI agents that require the capability to accomplish genuine tasks. Each unique profile maintains consistency in identity, cookies, passkeys, memory, and tasks, regardless of whether the system is restarted or if the user switches devices. It utilizes a modified Chromium engine alongside authentic local GPU values, enabling human-like interactions and effective handling of captchas, email and SMS verification codes, and TOTP, all while allowing browser-level prompt control to ensure agents can navigate beyond the limitations faced by standard automation tools. Users can connect through various methods including MCP, REST, Node.js, Python, or even direct CDP for versatile integration. This level of functionality empowers AI agents to perform in environments that typically resist automation attempts.