Top Asteroid AI Alternatives

Human Browser is a groundbreaking cloud-based platform tailored for AI agents, enabling them to engage with the open web through genuine Chrome sessions. Any agent capable of making HTTP requests can easily connect via A2A, while the integration of MCP support allows for editor-based agents to link, and a command-line interface streamlines terminal and CI workflows. Users can assign tasks in natural language, empowering agents to navigate websites, execute clicks, enter text, scroll through content, log into accounts, complete forms, gather information, and generate structured outputs, all while providing a live viewer URL for real-time session observation. The browser employs residential IP addresses, leverages engine-level Chromium fingerprinting, and replicates human-like behaviors in mouse movement, typing, and scrolling actions. Additionally, it incorporates sophisticated strategies to address challenges such as reCAPTCHA, hCaptcha, and Cloudflare Turnstile, ensuring seamless operation. Supporting profiles for both desktop and mobile environments, it offers extensive country selection options from a broad residential proxy network. Furthermore, it operates efficiently on diverse platforms, including bare Linux, Docker, and GitHub Actions, without the necessity for a display server, VNC, or desktop environment, making it an invaluable resource for developers. This adaptability positions it as a vital asset for automating web interactions across a wide range of applications, enhancing both efficiency and versatility in various use cases.

Gobii is a cloud-based solution that enables users to deploy fully managed browser automation agents via an API, streamlining processes like web research, form submissions, data extraction, and intricate workflows at scale. These agents act like continuous employees, navigating websites—regardless of whether they have APIs—handling dynamic content, running JavaScript, and automatically rotating proxies as required. Users can design these agents, assign them specific tasks or prompts, and receive structured JSON outputs or real-time previews of their browsing activities. Additionally, Gobii supports both synchronous and asynchronous task execution, offers secure management of sensitive data such as login credentials, and guarantees output validation through schema enforcement. The platform also integrates seamlessly with popular programming languages like Python and Node.js, making it accessible for various developers. With a strong focus on scalability, Gobii allows users to execute hundreds of tasks concurrently, while also incorporating enterprise-level security features, including audit logs, comprehensive proxy management, and oversight of tasks. Consequently, developers enjoy a more streamlined experience, simplifying the integration of complex automation into their existing workflows, which ultimately enhances productivity and efficiency.

Owl Browser emerges as a cutting-edge, AI-enhanced automation solution designed for effortless and imperceptible web automation on a vast scale. Unlike traditional tools like Puppeteer or Playwright, which only achieve a detection evasion rate of 44%, Owl Browser triumphs with an impeccable 100% success rate across all 16 detection metrics due to its groundbreaking stealth technology. This innovative system incorporates realistic fingerprinting techniques for various elements such as Canvas, WebGL, Audio, Fonts, and Navigator features, while also mimicking human behavior through Bezier curves and authentic typing patterns. Additionally, the platform is augmented by an on-device LLM that empowers users to issue commands in natural language, such as "find the best deals on headphones and add them to my shopping cart," thereby eliminating the necessity for complex selector setups. Owl Browser also comes equipped with 142 specialized automation tools, including intelligent selectors and universal scraping capabilities that can produce outputs in Markdown, HTML, or JSON formats. It guarantees session persistence and provides extensive compatibility with proxies using HTTP, HTTPS, and SOCKS protocols. Furthermore, its integrated CAPTCHA solving functionality is adept at addressing challenges like reCAPTCHA v2 and hCaptcha, establishing it as a holistic solution for all web automation requirements. With its extensive array of features and user-friendly interface, Owl Browser is set to transform how organizations handle web automation tasks in the digital landscape.

Steel is an adaptable open-source browser API designed for managing a variety of cloud-based browsers. It streamlines the process of browser automation, catering to needs that range from large-scale scraping tasks to fully autonomous web agents, allowing users to start browser sessions on demand via simple API calls. With built-in CAPTCHA solving capabilities, Steel guarantees that automation processes run smoothly without interruptions. Its intuitive controls are designed to reduce the chances of being flagged as automated traffic. Typically, a session can be initiated in under one second if the client is within the same geographic area. Each session is flexible, capable of lasting anywhere from one minute to a full 24 hours. Users can effortlessly save and inject cookies and local storage, allowing them to resume their activities seamlessly. Furthermore, Steel facilitates the execution of Puppeteer, Playwright, or Selenium in the cloud with remarkable ease. The Session Viewer feature stands out by enabling users to monitor and troubleshoot both live and previously recorded sessions, greatly enhancing the overall user interface. This extensive toolkit not only makes Steel a crucial asset for developers but also empowers them to effectively leverage the capabilities of browser automation in a cloud setting. By combining efficiency with user convenience, Steel significantly enhances the automation experience.

The Microsoft Agent Framework serves as an open-source SDK and runtime designed to aid developers in the creation, orchestration, and deployment of AI agents and multi-agent workflows, utilizing programming languages such as .NET and Python. It effectively integrates the user-friendly agent abstractions from AutoGen with the advanced functionalities of Semantic Kernel, providing features like session-based state management, type safety, middleware, telemetry, and comprehensive support for models and embeddings, thereby establishing a unified platform that is ideal for both experimental and production environments. Moreover, its graph-based workflow capabilities grant developers precise oversight over the interactions between multiple agents, allowing for the efficient execution of tasks and coordination of complex processes, which supports organized orchestration across diverse scenarios, whether they are sequential, concurrent, or involve branching workflows. In addition to these advantages, the framework is designed to handle long-running operations and human-in-the-loop workflows through its strong state management capabilities, which allow agents to maintain context, address intricate multi-step challenges, and operate continuously over extended durations. This blend of features not only simplifies the development process but also significantly boosts the performance and dependability of AI-driven applications, making it a valuable tool for developers seeking to innovate in the field of artificial intelligence. Ultimately, the framework's versatility ensures that it can adapt to various use cases, further enhancing its appeal in the ever-evolving landscape of AI technology.

guIDE is a comprehensive desktop integrated development environment tailored for the inference of large language models locally, enabling users to run AI models directly on their personal computers without external data transfer. This innovative platform features an advanced agentic AI loop, which supports the autonomous completion of complex multi-step tasks, complemented by RAG codebase indexing that improves contextually relevant responses. It includes 53 built-in MCP tools that serve various purposes such as managing files, conducting web searches, and automating browser tasks, along with Playwright integration to enhance web interaction capabilities. Furthermore, guIDE supports the execution of code in more than 50 programming languages and integrates Whisper for voice input, while also offering comprehensive Git functionality for effective version control. Users can opt for cloud-based LLM support from providers like OpenAI and Anthropic when necessary, providing additional flexibility. guIDE is available in several formats, including desktop applications compatible with Windows, Linux, and macOS, a web-based version, and a Chrome extension for extra ease of use. Its multifaceted nature positions guIDE as an excellent option for developers eager to harness powerful AI features directly on their machines, making it a truly versatile tool in the realm of software development.

CloakBrowser gives automation teams a familiar Chromium environment for Playwright, Puppeteer, Selenium, and CDP workflows. It is designed for engineers who need dependable browser sessions for public-web data, QA, monitoring, scraping, and AI agents without rebuilding their existing automation stack. The browser runs locally or in infrastructure controlled by the customer, including Windows, macOS, Linux, Docker, and VPS environments. It supports Python, JavaScript, and .NET integrations, persistent browser profiles, reproducible identities, proxy-aware configuration, natural interaction timing, and persistent CDP server deployments. The wrapper is available under the MIT license; the custom Chromium build uses a separate proprietary license. CloakBrowser does not bundle proxies or CAPTCHA solving, so teams can keep their existing providers and operational controls.

BayPoint AI offers a robust software suite tailored for eBay sellers, harnessing the power of artificial intelligence to elevate their selling journey. This platform comprises six integrated tools that can be accessed from a unified dashboard, enabling sellers to enhance their listings, simplify feedback management, and track shipments efficiently. AEO/SEO: AI-assisted listing optimization, on-page SEO workflows, answer-engine optimization (AEO) content structuring, schema-aware content generation WebMCP & Agentic Web: WebMCP integrations, agent-ready metadata patterns, browser-automation compatible workflows, AI agent interoperability design The Listing Intelligence feature utilizes AI technology to evaluate and improve listings by identifying potential performance barriers and providing customized recommendations to increase visibility and drive sales. In addition, PreFlight Discovery uses AI to scrutinize listings prior to publication, ensuring that titles, descriptions, and item specifics are fully optimized for the best possible results. The Feedback Manager automatically generates personalized responses to seller feedback, saving users a considerable amount of time each week while helping maintain an excellent 5-star rating. Furthermore, the Buyer Feedback Manager streamlines the process of leaving feedback for buyers across all transactions, significantly boosting operational efficiency. With the Shipment Tracker, sellers gain access to a centralized multi-carrier tracking dashboard that delivers real-time updates on their shipments, keeping them informed throughout the delivery journey. Lastly, the Listing Vault acts as a protective measure by backing up listings and detecting any changes, notifying sellers when eBay alters information unexpectedly, thereby offering reassurance in managing their online presence.

Tabstack is a managed web API platform that lets developers extract, research, generate, and automate across the live web without building their own scraping stack. The platform is designed for teams that want to pass in a URL, schema, question, or task and get back structured data, clean Markdown, cited answers, or completed browser actions. Its /extract/json endpoint returns schema-matched JSON from web pages, making it useful for product details, job listings, pricing pages, marketplaces, directories, and other structured web data. Its /extract/markdown endpoint converts pages into clean Markdown that can be used for RAG pipelines, documentation ingestion, product page indexing, and knowledge base workflows. The /generate/json capability supports reasoned structured output from user instructions, not just direct field extraction. The /research endpoint runs a live-web research agent that selects sources, reads pages, synthesizes findings, and returns cited answers with claim-level support. The /automate endpoint lets users describe a browser task in natural language and have Tabstack navigate, click, fill forms, and complete flows on websites the user does not control. Tabstack supports interactive mode for human input, JavaScript-heavy pages, streaming results over SSE, TypeScript and Python SDKs, MCP connectivity, and CLI access. Its Pilo browser engine is designed to reduce token usage compared with screenshot-heavy approaches while still enabling browser-based automation. Common use cases include competitive intelligence dashboards, lead enrichment pipelines, research agents, booking and checkout agents, back-office workflow automation, and knowledge base ingestion. With privacy-focused handling, no retained corpus, no data sold, no model training on user calls, and plans that include free trial credits, pay-as-you-go usage, team pricing, and enterprise options, Tabstack helps developers give products and AI agents reliable access to the live web.

Browser Use provides AI agents and browser infrastructure for automating work on websites. Developers can delegate a task to a hosted agent or connect their own automation to a managed browser. It helps software complete website workflows where a usable API is missing, from collecting information to filling forms and downloading documents. Browser Use Agents accepts natural-language instructions and carries out multi-step tasks in a real browser. Teams can add browser actions to their products without building and operating the agent loop themselves. Typical workflows include cross-site research, authenticated document collection, data extraction, and repetitive work across customer or vendor portals. Browser Infrastructure provides remote Chromium sessions for existing agents, Playwright scripts, and Puppeteer automation. Features include browser stealth, residential proxy options, and automatic handling of supported CAPTCHAs. Teams keep control of their automation logic while Browser Use manages the browsers. Reusable browser profiles help preserve authenticated access between tasks. For developers who want to run and customize their own agents, the MIT-licensed browser-use Python library works with local or cloud browsers. Browser Harness, CLI tools, SDKs, and Model Context Protocol (MCP) interfaces provide additional ways to connect browser capabilities to existing applications and agents. Browser Use serves developers building AI products, automation and data engineers, and software teams connecting business processes across third-party websites. Enterprise options include custom concurrency, SLAs, support, and negotiated data policies. Cloud services use pay-as-you-go pricing with no required subscription. Browser runtime starts at $0.02/hour, with network traffic billed separately. Hosted agents add model costs and a 20% service fee. Purchased credits do not expire, and eligible signups receive a one-time $15 cloud credit.

Scrapeer is a user-friendly application crafted for visual web scraping and browser automation, enabling users to establish repeatable workflows on websites without the need for any programming skills. By utilizing visual blocks, users can construct flows or instruct Copilot to generate a flow based on their descriptions, which can then be easily modified on the canvas itself. With the capabilities of Scrapeer, users can seamlessly gather structured data, oversee website activity, monitor pricing changes, identify alterations, conduct research for leads, compile job listings, complete forms, create ongoing reports, and enrich spreadsheets with supplementary information. The LiveView feature provides a genuine browser view next to the editor, allowing users to witness each stage of their process, review extracted data, adjust selectors, and understand the workflow dynamics better. While artificial intelligence aids in the setup phase, the resulting automation is straightforward, permitting continuous adjustments and reuse. The automation flows can carry out a wide range of functions including navigating through web pages, simulating user interactions such as clicks and typing, scrolling, waiting for elements to load, extracting data, iterating over lists, using variables and conditional logic, calling upon AI models or APIs, generating files, capturing screenshots, and sending results to various platforms like Sheets, Drive, Dropbox, S3, email, webhooks, CSV, XLSX, JSON, PDFs, or any cloud storage service. This extensive functionality positions Scrapeer as an indispensable asset for anyone aiming to enhance their web data processes with efficiency and ease, ultimately transforming how users interact with online information.

The Oracle AI Agent Platform is a robust service aimed at the creation, deployment, and management of advanced virtual agents that leverage large language models and integrated AI technologies. The process of establishing these agents is streamlined into a simple multi-step approach, enabling them to access a variety of tools, including the translation of natural language into SQL queries, enriching responses with insights from company knowledge bases, invoking custom functions or APIs, and coordinating interactions with sub-agents. These agents excel in multi-turn conversations while preserving context, which empowers them to handle follow-up questions and deliver personalized, coherent dialogues. To maintain quality and security, the platform incorporates essential guardrails for content moderation, mitigates risks of prompt injection attacks, and protects personally identifiable information (PII). Furthermore, the system provides optional human-in-the-loop features that facilitate real-time monitoring and the capacity to escalate concerns when needed, thus achieving a harmonious balance between automation and human oversight. This array of functionalities establishes the Oracle AI Agent Platform as a powerful tool for organizations aiming to enhance customer engagement through intelligent automation, while also adapting to evolving user needs over time.

Stagehand is a groundbreaking web automation framework that utilizes artificial intelligence to expand the capabilities of Playwright, enabling developers to operate web browsers with straightforward natural language instructions. Created by Browserbase, it includes three intuitive APIs—act, extract, and observe—that enhance Playwright's core page class, thus making web automation tasks more user-friendly. For instance, developers can navigate to desired websites, identify elements like input fields, gather specific data such as product prices, and perform actions like adding items to shopping carts, all through conversational commands. This approach simplifies the process of developing resilient, autonomous, and repeatable web automation workflows, reducing the difficulties and risks typically associated with traditional methods. Additionally, Stagehand integrates smoothly with existing Playwright code, allowing for easy incorporation into current projects. By leveraging AI capabilities, it not only makes browser automation management simpler but also boosts overall efficiency, ultimately resulting in greater productivity for developers. This unique blend of simplicity and effectiveness establishes Stagehand as an essential asset in the field of web automation, offering a modern solution to the challenges faced by developers. With its innovative features, Stagehand is poised to transform the way web automation tasks are approached and executed.

Archonum is a browser automation platform built for teams that need scripts, AI agents, and data pipelines to run through genuine mobile browsers on real consumer networks. The platform uses a network of 250,000+ Android smartphone nodes across 175+ countries, with Chrome running on the same phone that provides the exit IP. This means each request carries aligned signals from the device itself, including TLS, GPU, canvas, accelerometer, gyroscope, battery, CPU architecture, touch events, language, timezone, and connection context. Archonum is designed as an alternative to cloud browser automation systems that run Chrome in a data center and route traffic through a residential proxy. By keeping the browser, IP, and fingerprint on one device, Archonum reduces the gaps that bot detection systems can identify. Developers can use plain Playwright, Puppeteer, Python, REST, curl, and HTTP API workflows without rewriting their existing scripts. Country locking, rotating sessions, and sticky sessions can be controlled through the gateway configuration. Fleet execution allows one automation script to be replayed across multiple real phone sessions in parallel, each with its own device identity and country. Archonum also includes an MCP server that gives agents hosted tools for rendered page reads, stateful browsing sessions, login persistence, cart or booking flows, and side-by-side country comparisons. The platform is designed for AI agents, scraping pipelines, competitive price intelligence, social data, mobile-first platforms, and workflows where block rates create measurable cost. By combining real Android hardware, consumer IPs, mobile Chrome, browser automation compatibility, MCP tools, geo comparison, sticky sessions, and parallel fleet execution, Archonum helps teams reach web targets with more authentic mobile signals.

Browser Cash is a groundbreaking platform tailored for browser automation, ideal for AI agents, web scraping, and collecting online intelligence. With just one API call, users can trigger a real browser session on an actual device, empowering their agents or automation scripts to browse, interact, log in, and extract data as if a real person were doing it. This solution successfully tackles hurdles like CAPTCHAs, bot detection, and complex spoofing methods. What sets Browser Cash apart is its ability to run browsers in the background, allowing tasks to be accomplished autonomously without human intervention. The platform delivers a fully managed experience, featuring millions of proxies, browsers, and tools specifically designed to circumvent CAPTCHAs and bot defenses, enabling seamless web navigation. Moreover, upon registration, every developer receives a free $25 credit, which does not require a credit card to begin. This generous offer not only encourages new users to dive into the platform's features but also fosters a risk-free environment for exploration and experimentation with its capabilities. As a result, developers can maximize their productivity while leveraging advanced browser automation technology.

Fellou is an innovative agentic browser that aims to simplify and automate complex tasks for users. It offers seamless research capabilities, automated workflow processes across multiple platforms, and intelligent task execution online. Thanks to its Deep Action feature, Fellou transforms intricate multi-step tasks, such as form completion, report generation, and schedule management, into simple commands. The browser's sophisticated intelligence not only anticipates user needs but also recommends actions and builds a tailored knowledge base for each individual. Operating securely within a sandbox environment, Fellou enables agents to execute tasks in the background, ensuring a fluid user experience without interruptions. Moreover, users have the capacity to create, share, and implement specialized agents targeted at specific tasks or industries. With cross-platform deep search functionalities, Fellou allows users to conduct simultaneous searches on both public sites and secure platforms like Quora, X, and LinkedIn, while also offering the ability to generate shareable visual reports. This groundbreaking tool not only transforms the way people engage with the internet but also significantly boosts overall productivity and efficiency, making online interactions more effective than ever before. Its user-friendly design and robust features position Fellou as a must-have resource for anyone looking to streamline their digital tasks.

Olostep is a prominent API platform tailored for the extraction of web data, serving both AI developers and programmers by enabling the swift and reliable acquisition of structured information from publicly accessible websites. This platform provides the capability to scrape specific URLs, conduct thorough site crawls without needing a sitemap, and submit extensive batches of around 100,000 URLs for detailed data collection; users can receive data in multiple formats such as HTML, Markdown, PDF, or JSON, and custom parsing features allow for the precise harvesting of the desired data structure. Noteworthy functionalities include complete rendering of JavaScript, access to premium residential IPs with proxy rotation, effective resolution of CAPTCHAs, and integrated tools for managing rate limits or recovering from unsuccessful requests. Furthermore, Olostep shines in its ability to parse PDF and DOCX files, alongside offering browser automation capabilities like clicking, scrolling, and waiting, which significantly improve its functionality. Designed to handle substantial traffic, the platform is capable of processing millions of requests daily and emphasizes cost-effectiveness, promising savings of up to 90% compared to conventional methods, while also providing free trial credits for teams to assess the API's features prior to making a commitment. With its extensive range of tools and services, Olostep has firmly established itself as an essential asset for developers in search of effective data extraction solutions, making the process not only efficient but also cost-efficient for various projects. In doing so, it empowers users to harness the wealth of information available online with ease and precision.

Qwen3.7-Max signifies the pinnacle of innovation in Qwen's proprietary model series, specifically designed for the agent-centric era, and acts as a solid platform for a multitude of applications such as writing and debugging code, automating office workflows, and sustaining prolonged autonomous browsing sessions. This model excels in coding performance, showcasing exceptional skills in software engineering, terminal operations, graphical user interface interactions, web surfing, and the effective use of agentic tools. By improving the synergy between the model's intelligence and actual agent execution, Qwen3.7-Max supports sophisticated planning, reasoning over extended contexts, reliable function invocation, and the management of complex, multi-step tasks in intricate workflows. Additionally, it enhances multimodal and document-oriented tasks via Qwen Studio, which facilitates chatbot interactions, interprets images and videos, creates visuals, processes documents, develops presentations, provides coding assistance, performs thorough research, and supports web development. With this extensive array of capabilities, Qwen3.7-Max is positioned as a premier solution for various operational requirements in today's dynamic digital environment, ensuring users can efficiently tackle a wide range of challenges. As technology continues to evolve, the importance of such advanced models will only grow, making Qwen3.7-Max an invaluable asset for future endeavors.

Kameleo is an anti-detect browser designed to maximize web-scraping and browser automation success rates. It combines continuously updated, human-like fingerprint masking, built-in proxy orchestration and lightning-fast performance to help users bypass evolving anti-bot defenses - without bans or downtime. - Flexible, cost-effective deployment Choose on-premises or cloud hosting to optimize infrastructure costs, backed by a 99.99 % uptime SLA. - Continuous innovation Rapid release cycles and ongoing stealth testing keep you one step ahead of new fingerprinting techniques, ensuring consistently high scrape success rates. - Developer-friendly SDKs Integrate with Playwright, Puppeteer or Selenium via a single API call to launch and manage masked browser sessions - dramatically reducing maintenance overhead. - Fast, intuitive setup Get up and running in under five minutes through an easy-to-use graphical interface - no command-line work required. - Risk-free evaluation: Free Tier Try everything - from web scraping and browser automation to multi-account management - during our free trial before you commit.

Ornold operates as an MCP server that enables AI-enhanced browser automation, granting AI agents extensive command over anti-detect browsers via an open protocol. This platform is tailored for extensive browser automation and encompasses features such as vision-based interactions, automatic CAPTCHA solving, simultaneous operations across multiple browsers, human-like behavior emulation, and recovery tools, all integrated into a single cohesive system. In contrast to conventional techniques that rely on fragile CSS selectors or XPath, Ornold utilizes a vision mode that captures screenshots and examines web pages in a way akin to human perception, accurately recognizing interactive elements with pixel-perfect coordinates and executing clicks using normalized coordinates, which significantly bolsters the automation's resilience to layout modifications. It connects with browser profiles through the Chrome DevTools Protocol and supports a variety of anti-detect browsers, including Dolphin Anty, Octo Browser, Linken Sphere, AdsPower, Multilogin, GoLogin, Incogniton, Vision, Undetectable, MoreLogin, Indigo, and any browser compatible with CDP. Additionally, Ornold's groundbreaking methodology establishes it as a flexible solution in automated web interactions, making it a vital resource for developers who prioritize efficiency and dependability in their automation endeavors. In this evolving landscape, Ornold continues to innovate, ensuring that it meets the dynamic needs of modern web automation.

Agent-browser is a command-line tool designed for automating browser tasks specifically for AI agents, offering a concise text output that retains context and is exclusively developed in Rust. Its agent-first approach emphasizes brevity in output, minimizing token consumption during automation processes in contrast to more verbose JSON formats. The snapshot command facilitates an accessibility tree with unique references for each interactive element, allowing agents to select items effectively without relying on ongoing DOM queries. With a repertoire of over 50 commands, it covers a wide range of functionalities, including navigation, form management, screenshot capturing, network monitoring, storage handling, and interactions with tabs, frames, and debugging utilities. Additionally, the built-in observability features encompass video recording, streaming, debugging, profiling, and page comparison, providing comprehensive support for contemporary applications through capabilities such as network oversight and analysis of React and Web Vitals, as well as initialization scripts that integrate smoothly with Next.js and Vercel. This extensive array of features establishes agent-browser as an invaluable resource for developers engaged in AI-centric browser automation, enhancing their ability to streamline workflows and improve efficiency. Ultimately, the tool not only simplifies automation tasks but also empowers developers to create more sophisticated applications with ease.

Browserless is a powerful cloud-based browser automation and web scraping platform designed to help developers and businesses extract data from protected websites while bypassing modern bot detection systems. The platform leverages BrowserQL and low-level browser control through the Chrome DevTools Protocol to automate browser activity in ways that reduce detection from services such as Cloudflare, Datadome, and other anti-bot technologies commonly used across dynamic websites. Browserless supports a wide range of scraping and automation use cases including HTML extraction, JSON generation, screenshot capture, PDF rendering, browser testing, session management, and complex browser-based workflows. Developers can integrate the platform directly with standard Puppeteer and Playwright libraries without requiring modified frameworks, enabling them to run familiar automation scripts while offloading infrastructure management to Browserless. The system allows users to automate actions such as page rendering, JavaScript execution, dynamic content loading, form submissions, button clicks, navigation flows, and authenticated browsing sessions across protected web applications. Session reconnect capabilities help preserve cookies, browser state, and cached sessions, dramatically reducing proxy usage and improving efficiency by avoiding unnecessary fresh browser launches for every request. Browserless also provides unlocked WebSocket endpoints that developers can connect to directly for highly customizable automation workflows and integration flexibility. Optimized cloud infrastructure improves scraping performance and speed while reducing latency and operational overhead compared to maintaining self-hosted browser clusters and proxy systems.

Cortex AgentiX is a secure, enterprise-grade AI agent platform developed by Palo Alto Networks to address the growing speed and sophistication of modern cyber threats. As the next evolution of Cortex XSOAR®, it enables organizations to design, deploy, and manage AI agents that autonomously execute security operations. These agents act as intelligent teammates, capable of planning multi-step workflows and responding to incidents at any time. Cortex AgentiX is trained on over 1.2 billion real-world security playbook executions, providing a strong foundation of operational intelligence. The platform supports both prebuilt and custom no-code agents, allowing teams to tailor automation to their environment. Organizations maintain full control over agent autonomy, including human-in-the-loop approvals for high-impact actions. Built-in governance ensures agents adhere to strict access controls and security policies. Cortex AgentiX delivers full visibility into how agents interpret requests, execute actions, and produce outcomes. This transparency supports auditing, compliance, and trust in AI-driven operations. The platform integrates deeply with the Cortex ecosystem, including XSIAM, XDR, and cloud security tools. With a broad integration ecosystem, Cortex AgentiX connects to over 1,000 security technologies. Cortex AgentiX enables organizations to scale AI-driven security operations without sacrificing control or accountability.

happycapy is an innovative AI platform designed to transform your web browser into a powerful "agent computer," enabling both developers and users to deploy autonomous AI agents continuously without the need for traditional server infrastructures. This advancement allows the distribution of responsibilities across various large language models (LLMs) and AI services, including Claude Code, all while operating in a secure and contained environment. By supporting the concurrent use of multiple AI agents, happycapy optimally handles tasks related to coding, automation, data processing, and personalized workflows, allowing teams to utilize a unified interface for managing, scaling, and tracking agent activities. The platform emphasizes flexibility and empowers developers by providing a private sandbox where agents can execute tasks, interact with code and data, and collaborate on complex projects, all while monitoring the state, logs, and outputs from different AI services. Furthermore, happycapy enhances the development and maintenance of AI applications by demystifying the challenges linked to infrastructure and model oversight, thereby facilitating teams in maximizing the effectiveness of AI technology within their operational processes. This innovative approach not only improves efficiency but also fosters creativity and collaboration in AI-driven initiatives.

Nextbrowser is a free, open-source browser automation platform that connects AI agents with browser profiles, online accounts, proxies, and reusable workflows. It is designed to let AI agents perform browser-based work directly rather than requiring every automation to depend on an official platform API. Users can connect agents such as Claude Code, Codex, OpenClaw, and Antigravity CLI to their Nextbrowser workspace. After connecting an agent, users select the browser profile, proxy, skills, schedule, and other tools required for a workflow before providing the agent with instructions. Nextbrowser can be used for research, public advertising intelligence, competitive monitoring, web scraping, outreach, ecommerce, price monitoring, developer QA, SEO link building, social media monitoring, account workflows, and LLM optimization. Its research capabilities can search websites, read pages, extract structured information, compare public campaigns, and record findings from landing pages and advertising libraries. Recurring workflows can be scheduled to run while the desktop application is open, allowing agents to continue handling repetitive browser tasks with limited manual intervention. For account-based workflows, Nextbrowser provides encrypted credential handling and lets users log in through a remote browser without directly sharing passwords with their AI agents. The platform also includes anti-fingerprinting technology, residential proxy support, and functionality for maintaining multiple accounts on the same website. Because workflows operate through browser sessions, Nextbrowser can perform actions such as posting, commenting, engagement, and data collection without being limited to functionality exposed through an official API. By combining AI agents, browser automation, account profiles, scheduling, and workflow configuration in one environment, Nextbrowser is designed for teams and individuals that want AI to execute recurring web-based operational tasks.

Aside represents a groundbreaking AI browser designed for both individuals and agents, with the objective of simplifying tasks across multiple websites, accounts, tabs, messages, and frequently accessed files. In contrast to other agents that depend on integrations, Aside engages directly with websites, effortlessly logging into email accounts, dashboards, internal applications, and other login-required services to support activities such as research, communication, document management, spreadsheet operations, downloads, form completions, and intricate workflows. Users are empowered to delegate tasks from any active tab and provide contextual mentions, enabling the agent to independently manage follow-up tasks through Ultrabrowse until they are fully resolved. Aside can efficiently prepare staff packets, collect dashboard data, download and rename invoices, confirm vendor renewals, organize approval notes, contact support teams, capture screenshots, and supply source links and discrepancies for human review. Additionally, it allows users to convert repetitive activities into scheduled Routines or reusable Skills, complete with specified portals, naming conventions, approval checkpoints, and comprehensive instructions. This innovative system not only boosts productivity but also fosters enhanced customization and efficiency in managing various tasks, ultimately transforming the way users interact with their digital environments. By harnessing the power of AI, Aside is set to redefine task management in a multitude of professional settings.

Sapiom functions as a comprehensive financial and access infrastructure platform that enables AI agents and API-based applications to securely access, provision, and pay for a variety of third-party services, APIs, tools, and computing resources in real-time. By removing the complexities associated with manual onboarding, individual API key management, and pre-purchased credits, it streamlines operations for users. The platform includes a centralized dashboard that allows organizations to monitor overall expenditures, track agent activities, evaluate service usage, and access real-time analytics. Furthermore, it permits the establishment of rule-based spending limits and usage restrictions while enforcing governance policies to maintain the secure operation of autonomous agents within defined financial parameters. Additionally, Sapiom provides SDKs and APIs that equip developers with the tools to connect agents to a curated network of services, such as verification processes, web searches, AI models via OpenRouter, and the automation of image/audio generation and browsing tasks. This capability facilitates automated authentication and micro-payments for each transaction. Moreover, the system meticulously records every API call, associated costs, and execution details, ensuring a high level of visibility and control over operational activities. By leveraging these features, organizations can significantly boost their operational efficiency and better manage their resources. Ultimately, Sapiom represents a transformative solution for integrating financial management with advanced technological applications.

BrowserAct is a cloud-oriented solution that leverages artificial intelligence to streamline browser activities and retrieve information, enabling users to interact with websites and collect data using natural language without any programming knowledge. The intuitive interface allows users to clearly express their requirements, such as monitoring competitor pricing, tracking industry developments, or feeding data to AI models, while the system autonomously organizes the essential workflows. Equipped with capabilities like smart routing, multi-step task management, immediate data access, and a global residential IP network, BrowserAct skillfully navigates intricate situations, including data extraction from restricted websites, handling human verifications, and continuous content monitoring. The platform yields high-quality structured data, ideal for training and enhancing AI agents, thus simplifying market research and competitor analysis. Additionally, by optimizing repetitive online tasks through an easy-to-use interface, BrowserAct bridges the gap between manual browsing and extensive automation, significantly boosting user productivity and effectiveness. Ultimately, it simplifies the data collection process while also equipping users with the real-time insights necessary to make well-informed decisions in a fast-paced environment. This innovative approach not only enhances efficiency but also fosters a more data-driven culture among its users.

BrowserOS is a web browser that operates on an open-source model, leveraging a fork of Chromium and integrating AI agents to enhance the online experience through task automation, navigation, and interaction via natural language commands. Users can easily log into their preferred websites and issue straightforward commands such as “extract the quarterly results from this webpage and update a spreadsheet,” allowing BrowserOS to generate and execute a local, repeatable agent that handles clicks, form submissions, and other navigation tasks autonomously. It features a split-view capability that supports major large language models like ChatGPT, Claude, or Gemini, while also enabling local model execution through platforms such as Ollama, ensuring compatibility with existing Chrome extensions, bookmarks, and saved passwords. By providing semantic search functionalities for browsing history and bookmarks, as well as tools for highlighting information and setting up MCP (Model-Context-Protocol) servers for applications like Gmail, Calendar, Docs, and Notion, the browser evolves into a powerful productivity tool. Furthermore, its intuitive interface is designed to facilitate a seamless transition for users familiar with conventional browsing, making complex tasks simpler through the advantages of AI-driven automation. The overall aim is to create an enhanced browsing experience that not only saves time but also boosts overall efficiency.

BrowserQL is a dedicated scraping language and browser automation tool crafted to adeptly navigate bot detection measures while minimizing the evidence of automated actions. It possesses built-in anti-detection features that operate without the need for user configuration, allowing users to bypass services like Cloudflare and Datadome effortlessly, without relying on extra plugins or setups. Furthermore, BrowserQL efficiently addresses prevalent CAPTCHA challenges, including those found within iframes or shadow DOMs, by employing methods such as auto-humanized clicking, scrolling, and typing behaviors, alongside concealed debugging techniques and automatic fingerprint circumvention, all enhanced by the integration of residential proxies for a more genuine browsing experience. Unlike conventional DIY approaches that use Playwright and necessitate stealth plugins along with ongoing manual interventions for simulating mouse or keyboard actions, BrowserQL streamlines the entire process, significantly lowering the likelihood of detection by automation libraries. Consequently, users can concentrate on their scraping endeavors without the persistent anxiety of being flagged or obstructed by advanced bot detection systems. Ultimately, BrowserQL represents a crucial advancement for those seeking reliable and efficient web scraping capabilities in an increasingly complex digital landscape.