Top TinyFish Alternatives

BAND develops comprehensive interaction frameworks tailored for large-scale applications of distributed AI agents. This platform enables real-time, collaborative communication between agents and humans while integrating a runtime control plane that maintains policy adherence, establishes authority boundaries, and guarantees transparency across varied systems. Moreover, BAND supports developers, engineering teams, and leaders overseeing enterprise platforms that manage multi-agent ecosystems across internal frameworks, SaaS offerings, and collaborative environments with partners. This robust support not only improves operational efficiency but also stimulates innovation within intricate organizational frameworks, ultimately driving progress and adaptability in a rapidly evolving technological landscape.

Oxylabs is a web intelligence and data collection platform that provides enterprise-grade proxy networks, web scraping infrastructure, browser automation tools, and ready-made datasets. The platform enables organizations to collect publicly available web information for market research, competitive intelligence, pricing analysis, and other data-driven business activities. Its proxy network includes more than 177 million IP addresses across 195 countries, supporting geographically distributed data access requirements. Available proxy types include residential, ISP, mobile, datacenter, and dedicated datacenter proxies for different browsing and extraction workflows. Web Unblocker uses AI-driven technology to handle access challenges presented by websites with sophisticated anti-bot protections. The Web Scraper API manages large-scale data extraction workflows, helping organizations retrieve website information without maintaining extensive custom scraping infrastructure. Agent Browser supports automated browsing and data collection from dynamic websites that require browser interaction and advanced access handling. Oxylabs AI Studio provides no-code data extraction capabilities for users who want to collect website information without developing custom scraping scripts. The platform also offers ready-made datasets containing structured information from industries such as ecommerce and real estate. Oxylabs emphasizes ethical data collection practices, compliance-focused infrastructure, and enterprise support for organizations managing web intelligence operations. The company serves more than 4,000 customers worldwide, including Fortune 500 organizations, and provides 24/7 customer assistance for its proxy and data collection services.

Crawleo is a groundbreaking API crafted for real-time web scraping and searching, with a strong emphasis on maintaining user privacy for AI-based applications. This versatile tool enables developers to explore the ever-changing web landscape, target specific URLs for in-depth crawling, and access clean, AI-friendly content through simple API endpoints. Through its Search API, users can obtain well-structured web results, and they have the option to activate auto-crawling for the pages that appear in their results. The Crawler API facilitates direct crawling of one or multiple URLs, making it a flexible choice for various needs. Crawleo supports multiple output formats such as Markdown, plain text, cleaned HTML, and raw HTML, ensuring that the extracted data is easily applicable for LLM prompts, RAG pipelines, AI agents, automation processes, research instruments, and internal dashboards. Additionally, it includes REST API access, seamless integration with MCP for AI assistants and IDEs, along with compatibility with LangChain tools, catering to both agentic and RAG-oriented applications, thus maximizing its functionality in a wide array of projects. Consequently, Crawleo emerges as a robust all-in-one solution for developers eager to leverage the capabilities of real-time web data within their AI-related endeavors, making it an invaluable resource in today’s data-driven landscape.

Context.dev is an advanced API platform built to provide real-time web context and structured data for modern AI and software applications. It enables developers to scrape, extract, and transform web content into usable formats such as markdown, HTML, images, and structured datasets. By removing the need for custom scraping infrastructure, it simplifies access to live web data at scale. The platform also enriches company profiles by providing detailed information such as logos, brand colors, descriptions, social links, and industry classifications. Context.dev supports a wide range of use cases, including powering AI agents with live web access, building knowledge bases, and automating research workflows. It allows developers to crawl entire websites, capture screenshots, and extract product or transactional data using AI-powered queries. The platform is particularly useful for personalization, enabling applications to automatically tailor experiences based on company or user context. Its integration capabilities make it easy to incorporate into onboarding flows, CRM systems, and data pipelines. Context.dev ensures that applications always operate with accurate, up-to-date information from the web. Developers can scale their solutions without worrying about maintenance or data reliability. The platform is designed with performance, flexibility, and ease of use in mind. Ultimately, Context.dev empowers teams to build intelligent, context-aware applications that leverage the full power of the web.

Here's the full combined description with clean formatting: TinyCommand is an all-in-one, no-code automation platform that merges forms, data management, workflow automation, email communication, and AI functionalities into a single user-friendly interface, enabling businesses to operate smoothly without juggling multiple applications. Users have the ability to create custom-branded forms to capture information from customers or leads, which subsequently triggers workflows; the gathered data is systematically organized into internal tables, allowing for enrichment, storage, and querying without the dependence on external databases. The "TinyWorkflows" feature offers a simple drag-and-drop interface that allows users to connect actions, establish conditional logic, execute API requests, handle approvals, implement human checkpoints, or automate processes effortlessly. Additionally, the platform boasts built-in email capabilities, enabling users to send personalized, data-informed, and branded messages directly within their workflows. The "TinyAgents" feature further enhances the platform, providing AI-driven assistants that can adapt to various operational processes and scale them, performing tasks such as data enrichment, outreach, and automated follow-up messaging. TinyCommand aims to boost overall efficiency and simplify business procedures, making it an essential resource for organizations striving to improve their operational effectiveness while fostering a more integrated approach to task management. Overall, this platform is geared towards empowering users to streamline their workflows and achieve their business goals with greater ease. A new Recipes Marketplace is now live, giving teams pre-built, plug-and-play workflow templates to launch instantly. Built-in OCR and web scraping let users extract data from documents and websites natively, with no third-party tools required.

Subconscious serves as a specialized platform for developers, streamlining the process of creating, deploying, and scaling production-ready AI agents by automating the most complex elements of agent architecture. By providing a robust agent system, it manages context, orchestrates tools, and supports long-term reasoning, which allows developers to focus on goal-setting and functionality rather than the intricacies of infrastructure. The platform is equipped with an integrated inference engine that merges a collaboratively designed model with runtime capabilities, facilitating the breakdown of complex tasks, generating dynamic workflows, and executing multi-step reasoning autonomously, without requiring manual context management or agent coordination. Unlike traditional approaches that rely on connecting various APIs and frameworks, Subconscious enables agents to receive objectives and tools, empowering them to independently plan, reason, and take action with minimal human intervention. This groundbreaking approach leads to systems that can complete tasks autonomously, thereby simplifying the development process for AI applications. Consequently, developers find themselves able to bring their ideas to fruition with increased efficiency and reduced complexity, ultimately transforming the landscape of AI development.

Firecrawl is a comprehensive web data platform that provides developers with the tools needed to search, scrape, monitor, and interact with websites through a single API. Built with AI applications in mind, the platform transforms web content into structured and machine-friendly formats that can be consumed by large language models, autonomous agents, and data-driven applications. Users can extract content from standard websites, dynamic JavaScript-powered pages, PDFs, Word documents, and other digital resources without managing complex scraping infrastructure. The platform offers advanced crawling capabilities that help AI systems discover and collect information from across the web with high reliability. Interactive browser actions allow automated workflows to click, type, scroll, navigate, capture screenshots, and perform other tasks directly on web pages. Smart waiting technology ensures data is captured only after important content has finished loading, improving extraction accuracy. Firecrawl also supports configurable caching strategies, enabling developers to balance freshness and performance requirements for their applications. Its open-source foundation encourages transparency, community contributions, and continuous innovation across the ecosystem. Integration options include SDKs, APIs, AI agents, MCP servers, and popular development environments, reducing implementation complexity. The platform is engineered for speed and large-scale operations, helping organizations process web data efficiently while minimizing infrastructure challenges. With robust scraping, search, monitoring, and automation capabilities, Firecrawl empowers businesses to build sophisticated AI solutions powered by real-time web intelligence.

The Parallel Search API is a tailored web-search tool specifically developed for AI agents, intended to provide the most comprehensive and token-efficient context for both large language models and automated systems. In contrast to traditional search engines, which are designed primarily for human interaction, this API enables agents to express their requirements through clear semantic objectives rather than just relying on keywords. It offers a range of ranked URLs along with succinct excerpts that are optimized for model context windows, thus improving precision, minimizing the number of search attempts, and decreasing token usage per result. Furthermore, the system includes a distinctive crawler, real-time indexing updates, policies for maintaining content freshness, domain-filtering features, and adheres to SOC 2 Type 2 security compliance. This API is crafted for smooth integration into agent workflows, allowing developers to adjust parameters like the maximum character count for each result, select specialized processors, alter output sizes, and seamlessly embed retrieval into AI reasoning systems. As a result, it significantly enhances the ability of AI agents to access and leverage information, making their operation more effective and efficient than ever before. Ultimately, the Parallel Search API represents a significant advancement in how AI agents can interact with and utilize search capabilities.

Keenable functions as an independent web search platform specifically crafted for AI research facilities, inference systems, agents, and developers who require swift and dependable access to real-time online information. The Search API provides AI systems with a vast repository of over 100 billion documents, engineered for quick retrieval and optimized for high-performance demands of production agents. Agents can explore web pages and extract content using a REST API, MCP server, or command-line interface, all manageable under one account and API key. Committed to enhancing its services, Keenable continuously evaluates and improves search quality using its NEEDLE benchmark, which measures retrieval efficiency among various search services and aligns findings with an oracle ranking based on collective results. For larger-scale AI initiatives, the platform offers specialized search capabilities along with choices for both cloud and on-premises deployment. Moreover, its Time Machine functionality strengthens retrieval options by enabling users to search through historical versions of web pages, providing a richer perspective on past information. This focus on both contemporary and historical data establishes Keenable as an adaptable and powerful resource for advanced AI endeavors, ensuring that users can access the information they need, regardless of the context or timeline.

Perplexity has launched the Perplexity Search API, which enables developers to utilize its comprehensive global indexing and retrieval framework that underpins its well-known public answer engine. This powerful API is engineered to index an astonishing number of webpages, surpassing hundreds of billions, and is particularly crafted to align with the specific needs of AI workflows; it systematically breaks down documents into smaller, optimized sections, ensuring that the results yield highly relevant snippets that are pre-ranked based on the initial query, significantly reducing the need for preprocessing and boosting overall downstream performance. To maintain the index’s relevance, it conducts an impressive volume of updates every second via an AI-driven module that understands content, dynamically evaluates web materials, and continuously improves its functionality based on real-time user feedback. Furthermore, the API provides detailed, structured responses that serve both AI applications and traditional software, rather than just offering limited document-level outputs. Alongside the API introduction, Perplexity is also rolling out an SDK, an open-source evaluation framework, and comprehensive research documentation that outlines their cutting-edge design and implementation methods. This integrated strategy is designed to empower developers while facilitating progress in the realm of AI-driven search technology, ultimately aiming to transform how information is accessed and utilized across various platforms.

FishOS offers a robust infrastructure tailored for traditional enterprise tasks as well as sophisticated applications, prioritizing data protection, seamless operations, and AI-enhanced ease through automation. Utilizing its renowned AI decision-making systems, FishOS enables an impressive tenfold decrease in total cost of ownership, which translates to reduced operational costs related to energy and minimized capital outlays for hardware and facilities. This solution is designed to maximize the benefits of cloud infrastructure investments while providing adaptable pay-as-you-grow pricing options. By mitigating the risks linked to over-provisioning and inaccurate forecasting, FishOS ensures resilient operations supported by continuous predictive analytics throughout the year. Furthermore, FishOS delivers a holistic life-cycle approach to OpenStack cloud and Kubernetes orchestration, allowing enterprises to deploy, manage, and upgrade their systems confidently without experiencing any downtime. The seamless integration of OpenStack and Kubernetes creates a powerful framework that accommodates the development of highly scalable clouds, ready to handle the most demanding workloads, which ensures that businesses can effectively adapt to their changing needs. Consequently, organizations can achieve enhanced efficiency and flexibility in their operations, positioning themselves better for future challenges. This strategic advantage enables companies to thrive in an increasingly competitive landscape.

The Agents API provides a robust platform for developers to build and manage cloud agents using the same foundational framework that powers Codex, all while being supervised by OpenAI. With a straightforward API request, users can quickly set up a fully functional agent by specifying the intended task, model, tools, and environment, with OpenAI taking charge of the underlying infrastructure. Developers have the option to deploy their agents in various environments: within an OpenAI-managed sandbox, on their own servers, or through approved sandbox partners. These OpenAI-managed environments ensure a secure setting for agents to execute code, interact with files, and leverage packages, skills, and plugins to produce desired outputs. Tailored for tasks that demand prolonged operation, the API incorporates automatic context compaction, which helps retain essential information across multiple context windows during sessions. Furthermore, the tool search feature intelligently loads only the necessary definitions when required, while programmatic tool invocation enables agents to make simultaneous calls, chain related tasks together, and seamlessly filter or merge results in code. This all-encompassing strategy not only boosts operational efficiency but also equips developers with the tools to create increasingly complex applications, thus pushing the boundaries of what's possible with cloud-based agents. As a result, the Agents API stands as a transformative resource in the realm of cloud computing, facilitating innovative solutions and driving technological advancement.

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.

Fish Audio offers innovative AI-based solutions for text-to-speech (TTS), voice replication, and speech recognition (STT). Targeting businesses and developers, this platform enables the integration of realistic voice generation into their applications. Users can effortlessly replicate specific voices thanks to its advanced voice cloning features, while the generative AI produces expressive and natural speech in multiple languages. Additionally, Fish Audio provides an API that ensures easy integration and includes features like voice activity detection for improved performance. This flexibility positions Fish Audio as a crucial asset across various industries, such as content creation, virtual assistant programming, and enhancements in customer service, allowing users to connect with their audiences in meaningful ways. In essence, it serves as a holistic solution for those looking to advance their audio-related initiatives with cutting-edge technology. Ultimately, Fish Audio empowers users to create more immersive and engaging audio experiences.

Serpdog provides a robust Google Search API that allows businesses to quickly and effectively gather data from Google Search using its comprehensive API infrastructure. This functionality can greatly transform how organizations assess search patterns, ultimately leading to more effective digital marketing tactics and strategies. By leveraging this tool, companies can gain a competitive edge in understanding consumer behavior and optimizing their online presence.

HyperLake is specifically tailored for organizations poised to adopt a future where AI agents predominantly utilize their infrastructure. Unlike traditional enterprise infrastructures that primarily serve human users through dashboards, applications, and scheduled pipelines, AI agents operate in a distinct manner by querying data, leveraging tools, initiating workflows, producing artifacts, and interacting across multiple systems, which requires their ongoing access to curated compute resources, data, policies, and services. To accommodate this transformation, HyperLake provides a command center that simplifies the deployment, management, operation, security, and governance of this agent-focused infrastructure. The initial offering emphasizes Agentic Data Cloud Infrastructure, featuring an open-stack solution for data, analytics, semantics, workflows, and agent systems that can be implemented within the customer’s virtual private cloud, private cloud, or on-premises environments. By adopting this groundbreaking strategy, organizations are enabled to integrate AI agents seamlessly into their current frameworks, significantly boosting efficiency and flexibility in their operations. This not only streamlines workflows but also empowers organizations to innovate and respond more swiftly to market demands.

Eclipse GlassFish, an implementation compatible with Jakarta EE, is supported by the Eclipse Foundation. We are pleased to announce the launch of Eclipse GlassFish 6.1, which includes implementations for both the Jakarta EE 9.1 Platform and Web Profile specifications. You can access the download links on the GlassFish Download page. The release of Eclipse GlassFish 6.1 complies with the Jakarta EE 9.1 specification, incorporating both the Jakarta EE 9.1 Platform and the Jakarta EE 9 Web Profile. This represents the first release candidate for Eclipse GlassFish 6.1 and is now ready for download. As a Compatible Implementation of Jakarta EE 9.1, this version requires the use of JDK 11 for optimal functionality. Furthermore, the final version is anticipated to be released in conjunction with the official launch of Jakarta EE 9.1, providing developers with a smooth integration experience. This release not only enhances compatibility but also reinforces the commitment to supporting the latest standards in enterprise Java development.

BigFish serves as a leading E-commerce layer that is built upon the OFBiz open-source framework, which supports numerous E-commerce and ERP applications. By demonstrating the extensive capabilities of OFBiz, BigFish not only elevates but also simplifies the platform, creating a thorough ERP and multi-channel retail solution. Its design is user-friendly and object-oriented, ensuring that BigFish is both robust and secure while offering an array of features that cater to your business requirements instead of being restricted by IT constraints. This platform encompasses all the essentials needed to quickly launch a revenue-generating online presence, while also providing the flexibility for customization to add further functionalities as required. The BigFish Admin Module equips users with powerful business tools through a seamless interface, making it easier to handle crucial daily operations that are essential for successful E-commerce initiatives. In essence, BigFish empowers businesses to excel in the digital marketplace by optimizing processes and boosting operational efficiency. Additionally, it provides the scalability necessary for future growth, ensuring that businesses can adapt to evolving market demands.

Flowise is an open-source development platform designed to help organizations build, test, and deploy AI agents and LLM-based applications through a visual workflow interface. The platform provides a drag-and-drop environment that simplifies the process of designing complex AI workflows and conversational systems. Developers can create chatbots, automation tools, and multi-agent systems that collaborate to perform advanced tasks. Flowise supports a wide range of AI technologies, including more than 100 large language models, embeddings, and vector databases. This flexibility allows teams to build AI applications that integrate seamlessly with different AI frameworks and data sources. The platform includes retrieval-augmented generation capabilities that enable agents to access external knowledge from documents and structured datasets. Human-in-the-loop features allow organizations to monitor, review, and refine agent decisions during execution. Flowise also provides observability tools that track execution traces and integrate with monitoring platforms such as Prometheus and OpenTelemetry. Developers can extend functionality through APIs, embedded chat widgets, and SDKs available in languages like TypeScript and Python. The platform supports scalable deployment across cloud and on-premises environments, making it suitable for enterprise AI applications. Flowise’s modular architecture allows teams to rapidly prototype new ideas while maintaining the ability to scale to production systems. By combining visual development tools with powerful AI integrations, Flowise enables organizations to create intelligent applications faster and more efficiently.

AgentComputer represents a cutting-edge cloud infrastructure solution specifically designed for the operation of AI agents within secure and fully functional virtual environments. The platform provides "cloud computers" that serve as lightweight Ubuntu-based sandboxes, capable of being established in under a second, thereby allowing developers to quickly create, access, and manage their environments through a command-line interface. With persistent storage included, any applications, files, or settings installed remain intact even after system reboots, supporting ongoing and smooth workflows. The architecture is based on an agent-first approach, enabling AI agents to execute tasks directly within these spaces using SSH, which minimizes the gap between command issuance and execution. Additionally, the platform includes a built-in AI harness that supports a variety of agents, such as Claude, Codex, and other coding aides, facilitating efficient collaborative multi-agent activities in the same space. This integration not only boosts productivity but also simplifies the development workflow for AI-focused initiatives, making it an essential tool for modern developers. Ultimately, AgentComputer stands out by offering a versatile and dynamic environment that adapts to the needs of various projects and users alike.

Mistral AI Studio functions as an all-encompassing platform that empowers organizations and development teams to design, customize, implement, and manage advanced AI agents, models, and workflows, effectively taking them from initial ideas to full production. The platform boasts a rich assortment of reusable components, including agents, tools, connectors, guardrails, datasets, workflows, and evaluation tools, all bolstered by features that enhance observability and telemetry, allowing users to track agent performance, diagnose issues, and maintain transparency in AI operations. It offers functionalities such as Agent Runtime, which supports the repetition and sharing of complex AI behaviors, and AI Registry, designed for the systematic organization and management of model assets, along with Data & Tool Connections that facilitate seamless integration with existing enterprise systems. This makes Mistral AI Studio versatile enough to handle a variety of tasks, ranging from fine-tuning open-source models to their smooth incorporation into infrastructure and the deployment of scalable AI solutions at an enterprise level. Additionally, the platform's modular architecture fosters adaptability, enabling teams to modify and expand their AI projects as necessary, thereby ensuring that they can meet evolving business demands effectively. Overall, Mistral AI Studio stands out as a robust solution for organizations looking to harness the full potential of AI technology.

Phinite provides an all-encompassing shared infrastructure tailored for the streamlined creation, deployment, and management of AI agents, integrating components like orchestration, security, observability, lifecycle management, and environment promotion, which helps engineering teams eliminate the tedious process of reconstructing these essential layers for every new agent application. Among its standout features are orchestration functionalities for multi-agent systems that enable seamless agent interactions and complex nested calls, as well as comprehensive session-level observability that monitors execution timelines, decision-making variables, tool usage, and relevant latency and cost metrics. Furthermore, Phinite includes a Private Agent Registry to improve skill discoverability, an evaluation suite for measuring accuracy and safety standards, and an efficient Dev-to-Production pipeline that facilitates smooth environment promotion. In addition, it supports Kubernetes-native deployments and internal VPC deployability while maintaining compliance with SOC 2 Type 2 standards, thus creating a solid framework for the efficient development of AI agents. This rich array of functionalities not only boosts overall productivity but also cultivates a culture of innovation within engineering teams, empowering them to push the boundaries of what's possible in AI. Ultimately, Phinite's platform stands out as an essential tool for modern AI development.

Sandbox0 is a runtime environment that complies with Apache-2.0 and is specifically designed to run AI agents and services that manage untrusted code over prolonged periods. It provides secure and isolated Linux environments that can execute commands, retain stateful contexts, perform file operations, enable SSH access, oversee supervised sessions, and implement network controls. Its architecture is engineered to allow sandboxes to maintain a durable writable RootFS through effective pause-and-resume checkpoints, while also incorporating features like snapshots, restoration capabilities, and forks that permit the establishment of reusable workspaces. Developers can utilize SDKs for Python, JavaScript/TypeScript, and Go, as well as an HTTP API and the s0 CLI, to create and manage their sandboxes with ease and efficiency. For those interested in hosted solutions, Sandbox0 Cloud provides easy access, while organizations have the flexibility to self-host the runtime on dedicated Nomad infrastructure. By default, when the system is paused, it retains the filesystem state, yet it does not preserve live process memory or external connections; however, experimental memory recovery can be pursued depending on the necessary deployment infrastructure. This comprehensive approach not only enhances flexibility and security but also caters to diverse user requirements in the realm of AI technologies, making it a versatile tool for developers and organizations alike.

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.

Sprites by Fly.io is a platform for creating stateful sandbox environments that run arbitrary code inside hardware-isolated Linux computers. A Sprite is designed to answer the question of where to safely run a blob of code, whether that code comes from an AI agent, a developer workflow, a user-uploaded binary, or an application process. Unlike short-lived stateless sandboxes, Sprites are persistent environments that can keep files, state, and execution context across runs. The platform supports checkpoint and restore so workloads can pause, resume, and recover without rebuilding everything from scratch. Sprites use a fast directly attached NVMe filesystem for active work and continuously sync that filesystem to durable external object storage. This storage model gives developers a normal Linux disk experience while supporting durable persistence and automatic growth. Developers can install the Sprites CLI, log in, create a Sprite, run commands, and connect directly to a Sprite console. The platform also provides a REST API and language support for JavaScript, Go, Elixir, and Python. Sprites include capabilities around persistence, checkpoints, Sprite URLs, sandbox VMs, and network policy for controlling how environments run and connect. Pricing is based on actual usage across CPU hours, memory hours, hot storage, and cold storage, making it practical for bursty workloads like coding agents or lightweight web apps. By combining hardware isolation, Linux compatibility, stateful persistence, checkpointing, durable storage, APIs, and usage-based billing, Sprites gives developers a flexible execution layer for AI agents, sandboxed code, and persistent application environments.

AnyCrawler is a web access framework designed specifically for AI applications, offering a cohesive production API that enables real-time web searches, page retrieval, browser rendering, Markdown extraction, screenshots, and detailed usage metrics for AI agents, RAG systems, research tools, and automation platforms. This sophisticated infrastructure is built to convert live web pages into well-organized AI context, adeptly managing static content, rendering intricate JavaScript sites, filtering out unnecessary HTML, and providing Markdown, metadata, links, and polished outputs through a single API. Additionally, AnyCrawler allows teams to kickstart their web discovery process by using a query to pinpoint potential pages, news articles, images, videos, or academic materials, subsequently funneling the most pertinent results into crawling, rendering, or screenshot workflows. By transforming web pages into clear, structured Markdown, AnyCrawler guarantees that downstream models receive streamlined and actionable context, removing the distractions of raw HTML, scripts, navigation components, and formatting issues. Consequently, teams are able to refine their workflows and boost the effectiveness of their AI projects, capitalizing on the vast range of resources accessible on the internet. This innovative approach not only simplifies data extraction but also significantly enhances the integration of web content into AI-driven solutions.

Control Plane keeps production apps and AI agents running when a zone, region, or cloud provider fails. It combines AWS, Google Cloud, Azure, neoclouds, existing Kubernetes clusters, and bare metal into one Global Virtual Cloud. You pick the locations, every workload runs active-active across all of them, and a built-in global endpoint routes each request to the nearest healthy location. Teams run serverless, standard, stateful, cron, and virtual machine workloads from the container images they already have. Universal Cloud Identity gives workloads short-lived, least-privilege access to 600+ cloud services without long-lived keys. Day-two operations come built in, including autoscaling, Capacity AI right-sizing, logs, metrics, and traces, mutual TLS, secrets management, and a tamper-proof audit trail. The 99.999% availability SLA applies to workloads running at least two replicas in at least two locations, and customers typically cut compute costs 30 to 50 percent versus running directly on a hyperscaler.

Ausca provides a flexible on-demand infrastructure designed specifically for AI agents and developers through a detailed public service catalog and API. Its offerings include services such as document OCR and analysis, transcription for audio and video, bounded remote browsing sessions, and temporary email inboxes exclusively for message reception. Each service is clearly defined with specifications that outline inputs, limitations, pricing, and user guidance. Developers enjoy the option to connect via HTTP using X402 payments, tools that work with the MCP, command-line interfaces, or typed clients. Users can access services without an account or API key, although paid executions require prior payment approval. The pricing model operates on a per-invocation basis or through leasing agreements, and upon job completion, users can obtain a verifiable receipt. Tailored for developers and operators of AI agents, Ausca facilitates the integration of document, media, browser, or inbox functionalities into automated workflows without requiring separate deployments of these services. This innovative framework not only simplifies the integration process but also enhances overall workflow efficiency for developers, making it an invaluable resource in the AI landscape. Additionally, it empowers users to focus on building and refining their applications rather than getting bogged down by the complexities of service deployment.

SerpKite is an all-inclusive API designed for Google search and web data, specifically crafted for developers engaged in creating AI agents, research tools, SEO strategies, RAG pipelines, and other applications that demand current search data. This versatile API delivers a wide range of results, such as web pages, news articles, images, videos, maps, places, reviews, shopping products, scholarly works, patents, and autocomplete suggestions, while also offering functionalities like transforming web pages into Markdown, extracting URLs, site mapping, asynchronous crawling, and scheduled monitoring. With the option to receive responses in structured JSON, compact JSON, or Markdown formats, it seamlessly integrates into applications and workflows that leverage language models. Additionally, SerpKite supports SDKs for TypeScript, Python, and Go, and features a remote Model Context Protocol (MCP) server, along with comprehensive integrations with platforms like LangChain, CrewAI, LlamaIndex, and Vercel AI SDK. Users have the advantage of prepaid credit packs that do not expire, as well as a free tier upon signing up that includes recurring monthly credits, ensuring that they do not incur charges for failed or empty requests. In essence, SerpKite is meticulously designed to empower developers across diverse domains that rely on timely and precise web data, ultimately enhancing their productivity and potential for innovation. This emphasis on user-friendly features makes it a valuable tool for anyone needing to harness the power of search data effectively.

Composio is a powerful platform that transforms AI agents from simple conversational tools into fully functional systems capable of executing complex workflows. It provides seamless integration with over 1,000 applications, including popular tools like Slack, Gmail, GitHub, Notion, and more. The platform handles authentication automatically, managing OAuth flows, API keys, and permissions without requiring manual setup. Composio enables agents to dynamically select and execute the right tools based on user intent, improving efficiency and accuracy. It also offers secure, sandboxed environments where workflows can run safely, ensuring isolation and reliability. Developers can build multi-step workflows, automate processes, and execute tasks in parallel for greater productivity. The platform supports context-aware sessions, allowing agents to retain state and continue tasks without restarting. Composio is model-agnostic, giving developers the freedom to switch between AI models without disrupting their workflows. Its infrastructure is designed for scalability, supporting enterprise-grade use cases and high-volume operations. With built-in security features and compliance standards, it ensures safe handling of data and operations. By simplifying integrations and execution, Composio reduces development overhead and accelerates deployment. Ultimately, Composio enables developers to build intelligent, action-oriented AI agents that can operate across the entire software ecosystem.