Top OpenFang Alternatives

omp (oh my pi) is an open-source AI coding agent and developer platform created to provide a deeply integrated environment for AI-assisted software engineering across local and cloud-based workflows. Rather than functioning as a standalone chatbot, the platform connects AI models directly to code editors, language servers, debuggers, shells, browsers, version control systems, memory stores, and development utilities through a unified toolset. It supports more than 40 AI providers, enabling developers to work with cloud APIs, subscription-based coding models, self-hosted language models, and local AI runtimes from a single interface. The platform includes advanced development features such as structural code editing, AST-based refactoring, integrated debugging through the Debug Adapter Protocol, persistent Python and JavaScript execution environments, browser automation, and semantic code analysis using language server integration. Developers can orchestrate parallel AI subagents, collaborate through encrypted live coding sessions, manage durable project memory, and automate complex engineering workflows without switching between multiple applications. omp introduces specialized technologies such as Hashline content-aware editing, deterministic Snapcompact context compression, time-traveling stream rules, GitHub filesystem integration, workflow orchestration, and intelligent memory management to improve coding quality while reducing AI token consumption. The platform also provides built-in tools for web search, code review, browser control, GitHub operations, image generation, speech synthesis, document handling, and knowledge retrieval within the same development environment. A high-performance native Rust engine powers searching, file operations, syntax analysis, shell execution, image rendering, and workspace management across Windows, macOS, and Linux without relying heavily on external utilities.

InstaVM presents a powerful cloud and production sandbox solution tailored for AI agents, offering immediate access to essential computing resources such as runtime, storage, networking, policy management, and secrets. Distinguishing itself from conventional sandboxes, it employs hardware-isolated virtual machines rather than containers, thus providing secure environments equipped with complete Linux filesystems, networking capabilities, package management, RESTful API access, and the ability to sustain persistent states. The platform's snapshot feature allows users to create duplicates of any sandbox and revert to earlier configurations, while its persistent volumes guarantee that data remains intact across different executions. Furthermore, egress control empowers teams to dictate which external connections can be established, complemented by features like secrets injection and Vault to protect sensitive data from potential vulnerabilities. Additionally, the ability to deploy public URLs renders any port accessible on the public internet, augmenting its versatility. Designed with various agent patterns in mind, such as code interpreters, deployment agents, deep research agents, AI evaluations, reinforcement learning applications, and vibe coding applications, it serves as an all-encompassing tool for developers. With its groundbreaking architecture and wide-ranging features, InstaVM establishes itself as a premier solution for projects driven by artificial intelligence, enabling seamless integration and operation across diverse applications. As the landscape of AI development evolves, InstaVM positions itself as an essential resource for teams looking to leverage cutting-edge technology effectively.

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.

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.

Servo's objective is to provide a standalone, modular web engine that seamlessly integrates into applications, allowing developers to build content using web standards. Engineered in Rust, it benefits from shared codebases with Mozilla Firefox and the wider Rust ecosystem. Since its inception in 2012, Servo has contributed to the evolution of W3C/WHATWG web standards by pinpointing specification challenges and developing new automated tests that are compatible across various browsers, with key team members actively involved in the formulation of accepted new standards. This endeavor not only promotes the advancement of the web platform but is also underpinned by reusable, modular technologies that comply with established web standards. Developers have the opportunity to explore Servo and report any issues through pre-built nightly snapshots, which negates the requirement for local builds. As we advance towards our first developer preview, we are dedicated to improving our security protocols through formal audits and continuing to utilize existing libraries in conjunction with Rust to enhance our methodologies. This commitment to security guarantees that the tools we deliver remain both dependable and secure for developers, fostering a trustworthy environment for innovation and experimentation. The ongoing evolution of Servo stands to benefit not just individual developers but the entire web development community.

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.

NullClaw represents an incredibly efficient and ultra-lightweight AI assistant framework developed in Zig, provided as a single static binary that ensures it can run smoothly on almost any hardware platform. The framework is designed to achieve outstanding performance with minimal resource usage, reflected in its small size of about 678 KB and average RAM consumption of around 1 MB, with boot times clocking in at under two milliseconds. By avoiding the conventional runtime overhead tied to virtual machines, interpreters, and intricate dependency chains, NullClaw empowers developers to deploy their agents simply by running the compiled binary. Despite its small footprint, it features a robust autonomous agent architecture that supports over 22 model providers, 18 communication channels, hybrid vector and FTS5 memory, in addition to functionalities for streaming, voice interaction, and multi-layer sandboxing. Furthermore, the framework incorporates essential security features, such as workspace scoping, explicit command allowlists, encrypted secrets, and effective sandbox isolation utilizing tools like Landlock, Firejail, or Docker. This thoughtful design guarantees that users can rely on the integrity and effectiveness of their autonomous agents, all while enhancing efficiency across a wide range of applications. Overall, NullClaw not only streamlines deployment but also prioritizes security, making it a compelling choice for developers seeking versatility in their AI solutions.

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.

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.

ZeroClaw is an innovative framework for autonomous AI agents, designed using Rust, specifically aimed at teams that require a fast, secure, and highly adaptable agent infrastructure. This framework is engineered as a streamlined, production-ready runtime that starts quickly, operates effectively, and can be scaled effortlessly across a variety of providers, channels, memory systems, and tools. At its core, ZeroClaw features a trait-based architecture that allows developers to seamlessly switch between model backends, communication protocols, and storage options just by modifying configurations, which significantly reduces vendor lock-in and improves long-term maintainability. Prioritizing a minimal resource footprint, it is packaged as a single binary of about 3.4 MB and can achieve startup times of under 10 milliseconds while ensuring low memory usage, making it particularly suitable for servers, edge devices, and low-power systems. Built-in security features are a fundamental aspect of ZeroClaw, including sandbox controls, filesystem restrictions, allowlists, and secure handling of secrets, all of which are enabled by default. This comprehensive blend of agility, efficiency, and stringent security protocols positions ZeroClaw as a premier choice for teams eager to deploy state-of-the-art AI solutions, and its straightforward configuration process further enhances its appeal to developers across various domains.

FN2 operates as a self-sufficient stock decision-making platform aimed at freeing you from the monotonous daily research grind. Instead of repeating the same research routine every day, FN2 utilizes AI-driven agents to continuously observe market conditions, perform thorough research on a predetermined schedule, and deliver their insights straight to your Inbox, Phone, or Discord. You can articulate your tracking desires in simple language, whether you want to monitor a specific stock, a sector, a particular investment thesis, or even request notifications like "alert me when NVDA's guidance changes," or you can opt for various pre-set agents. FN2 then converts your preferences into an independent research agent that functions on your timeline—whether that’s before market hours, right after earnings announcements, or on a weekly basis. Each agent diligently examines earnings-call transcripts, gathers macroeconomic data from FRED, assesses tickers, generates visual representations, and combines all this information to present you with a comprehensive summary that is ready for decision-making, rather than merely a pile of raw data. This eliminates the hassle of managing numerous browser tabs, dependence on screeners, and the burdensome need for manual morning research. FN2 is tailored for individual investors and analysts who are often inundated by the vast amount of tabs, transcripts, and screeners that come with repetitive daily tasks. By optimizing the research workflow, FN2 empowers you to concentrate on crafting informed investment choices with enhanced efficiency and convenience, ultimately transforming your approach to stock market analysis.

IronClaw is an open-source runtime focused on security, tailored for the safe execution of autonomous AI agents while ensuring strong safeguards for sensitive credentials and system access. This platform offers a secure alternative to OpenClaw, operating within encrypted enclaves on the NEAR AI Cloud or locally, thus protecting vital information during its use. Users can easily deploy AI agents with a one-click setup that guarantees secure storage of API keys, tokens, and passwords in an encrypted vault, rendering them inaccessible to the AI. IronClaw enhances security by isolating each tool within its own WebAssembly sandbox, utilizing capability-based permissions and enforcing stringent resource limitations to prevent any compromised functionalities from endangering the entire system. Developed in Rust, it maintains memory safety at compile time, effectively reducing risks from common vulnerabilities such as buffer overflows and use-after-free errors. By incorporating these advanced security measures, IronClaw not only bolsters the safety of AI implementations but also assures users of the protection of their sensitive data during the entire execution process. Moreover, this innovative approach fosters a safer environment for developers and organizations looking to leverage AI technologies without compromising their critical information.

PicoClaw is an ultra-efficient AI assistant framework written in Go, purpose-built to operate on minimal hardware while maintaining strong performance. It requires less than 10MB of RAM and can start in under a second, enabling deployment on affordable single-board computers and embedded Linux devices. By dramatically reducing hardware requirements compared to traditional AI assistants, PicoClaw lowers both operational cost and energy consumption. The system was rebuilt through a self-bootstrapping methodology in which the AI agent played a major role in generating and refining its own architecture. Distributed as a single portable binary, it runs across RISC-V, ARM, and x86 systems without complex dependencies. Installation options include precompiled releases, manual builds from source, and Docker Compose deployments for containerized workflows. PicoClaw integrates with messaging platforms such as Telegram, Discord, QQ, DingTalk, and LINE, enabling conversational control from widely used apps. Its internal workspace structure organizes sessions, long-term memory, scheduled cron jobs, agent identity files, and customizable skills. A sandboxed security model restricts file access and command execution to prevent unsafe system operations. Even when advanced tools like command execution are enabled, built-in safeguards block destructive patterns such as disk formatting or mass deletion. The assistant supports heartbeat-driven periodic automation, asynchronous subagents through spawn functionality, and scheduled reminders using cron expressions. With multi-provider LLM support, optional web search integration, and lightweight deployment flexibility, PicoClaw provides a scalable foundation for building low-footprint AI agents across diverse environments.

CyberDragon is a sophisticated AI-powered cybersecurity solution specifically designed for the distinct requirements of Industrial Control Systems, Operational Technology, Information Technology, and Internet of Things environments within the framework of Industry 4.0. Unlike conventional IT security measures that have been modified for industrial use, CyberDragon is meticulously crafted from the ground up to proficiently oversee SCADA systems, PLCs, HMI interfaces, and industrial networks, accommodating a variety of communication protocols including Modbus, DNP3, OPC-UA, EtherNet/IP, IEC 60870-5-104, and S7Comm. This robust platform features ongoing ICS monitoring, autonomous AI defense capabilities, and integrates post-quantum cryptography as a core element rather than a mere optional add-on. With more than 28 interactive dashboards, secure audit logs, and compliance with PCI-DSS 4.0.1 standards, CyberDragon guarantees real-time threat detection and enables automated responses for operators in critical infrastructure, central banks, and heavily regulated industries. By equipping security teams to shift from reactive responses to a proactive and quantum-resistant defense strategy, it notably improves security across both industrial and corporate domains. This holistic approach solidifies CyberDragon's role as an essential partner for organizations committed to protecting their operational technology amid an increasingly intricate digital environment, ensuring that they remain resilient against emerging threats.

Gemini Computer Use is a built-in tool in Gemini 3.5 Flash that enables AI agents to interact with digital environments across browsers, mobile devices, and desktop applications. The capability allows agents to observe interfaces, reason through what needs to happen, and take actions across platforms. Google previously offered computer use as a standalone Gemini 2.5 computer use model, but the feature is now integrated natively into Gemini 3.5 Flash. This integration gives developers and enterprises a more unified way to build agents that combine computer use with Gemini’s existing strengths in function calling and built-in tools such as Search and Maps grounding. Gemini Computer Use is designed for agentic automation scenarios where workflows require multiple steps, interface navigation, decision-making, and reliable execution. Example use cases include continuous software testing, enterprise automation, knowledge work across professional applications, and custom agents that operate in browser-based workflows. Developers can access the capability through the Gemini API and Gemini Enterprise Agent Platform. Google also provides a Browserbase-hosted demo environment for testing computer use behavior before building production workflows. Safety measures include targeted adversarial training to reduce prompt injection risk and optional enterprise safeguards for requiring user confirmation before sensitive actions. The system can also automatically stop tasks when indirect prompt injection is detected, and Google recommends combining these protections with sandboxing, human-in-the-loop verification, and strict access controls. Gemini Computer Use helps developers and enterprises build more capable, safer, and more practical agents that can automate real work across modern digital tools.

QoderWork is an adaptable AI assistant that provides a range of sophisticated features that go beyond simple programming tasks. By outlining your needs, QoderWork is equipped to strategize, execute, and deliver results, aiding in various everyday activities such as organizing files, processing data, creating documents, conducting web research, designing visuals, and analyzing spreadsheets. With its built-in browser automation, it can effortlessly navigate websites, collect information, fill out forms, and optimize repetitive online chores without the need for any additional applications. Furthermore, it can interpret Excel files, analyze data from various perspectives, generate charts and actionable insights, compile discussions into structured reports, create relevant visuals to enhance written content, and produce comprehensive educational video demonstrations. Users can receive high-quality outputs in formats like Word, Excel, PowerPoint, and PDF, integrating AI-generated images, infographics, and posters seamlessly into their work. Additionally, the platform allows users to manage their projects through a conversational interface by stating their goals and assigning a particular folder for their tasks. This user-friendly method significantly enhances productivity, enabling individuals to fully leverage the broad spectrum of capabilities offered by QoderWork while streamlining their workflow and improving efficiency.

Browzey serves as an innovative automation platform that removes coding barriers by converting laborious web tasks into effortless one-click actions. Users can simply describe their tasks using plain language, and the AI-driven browser agent will autonomously navigate various websites, fill out forms, and gather information. Notable Features: - More than 25 ready-to-use templates designed for data extraction - Capable of pulling data from sites such as LinkedIn, Indeed, YouTube, Instagram, TikTok, among others - Can handle up to 100 URLs in one operation while automatically managing rate limits - Provides bulk export capabilities to formats like CSV and JSON - Integrates smoothly with applications like Notion and Slack for seamless data synchronization - Functions on a credit-based model that features a free tier to help users get started. With these capabilities, Browzey stands out as a flexible and intuitive option for individuals keen to enhance the efficiency of their online tasks. Moreover, its user-friendly interface ensures that even those with minimal technical knowledge can take advantage of its powerful features.

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.

Airtop is a groundbreaking AI-driven browser automation platform that simplifies web interactions for automation tasks, AI agents, and web scraping activities. By utilizing natural language prompts, it allows users to scrape and manipulate any website with ease, eliminating the need to deal with complex scripts that often require ongoing adjustments and maintenance. With Airtop, agents can seamlessly access various sites and navigate the internet without restrictions, even when faced with OAuth, two-factor authentication (2FA), or CAPTCHA challenges during login. The platform manages the necessary cloud browser infrastructure, allowing users to focus on their core business goals without the complications of technical issues. Airtop offers essential web browsing features such as copy/paste, file uploads, downloads, pop-ups, and audio capabilities, enabling agents to explore sites protected by logins and those using a virtualized Document Object Model (DOM), like Google Docs. Furthermore, the inclusion of a live view feature allows for human intervention to tackle complex problems, significantly improving the user experience and the effectiveness of the automation process. This rich set of capabilities makes Airtop an invaluable resource for users ranging from beginners to seasoned professionals, ensuring that everyone can benefit from its robust functionalities. Additionally, its user-friendly design and powerful automation tools set a new standard in the industry, making web automation more accessible than ever before.

Gemini Managed Agents provides a user-friendly visual interface that enables users to prototype and explore the development of managed agents without requiring manual API interactions. Through the use of the Gemini API, developers can leverage a flexible agent framework that facilitates the creation of a secure Linux environment with just one API call, allowing the agent to independently reason, execute tasks, manage files, and browse the web. In AI Studio Playground, users can swiftly navigate to the Agents tab to kickstart their projects with ready-made templates, which include the foundational Antigravity Agent along with an array of tools, environmental settings, directives, and capabilities. This Antigravity Agent, powered by Gemini 3.5 Flash, is a highly adaptable managed agent designed to execute code, manage files, perform online searches, and can be customized with additional instructions, skills, and data. The agents' attributes, personalities, and functionalities are shaped by specific files within their environment, such as AGENTS.md, which outlines the broader system directives and persona, as well as SKILL.md files that provide details on specific abilities and processes. By utilizing these resources effectively, developers can significantly improve the performance of their agents and customize their functionalities to meet particular requirements. This level of customization ensures that the agents can be tailored for a wide variety of applications, enhancing their versatility and utility in different contexts.

Headless browsers that operate consistently across all environments are now at your fingertips. You can manage a fleet of stealth browsers to ensure dependable automation processes. Concentrate on your coding efforts with autoscaled browser instances and top-tier stealth functionalities. Deploy numerous browsers utilizing robust resources for extended sessions without interruption. With real-time access, the ability to replay actions, and comprehensive tools including logs and network insights, you can engage with headless browsers as seamlessly as you would with traditional ones. Construct and execute undetectable automated systems featuring customizable fingerprinting and automated captcha resolution. Browserbase stands out as the premier solution for developing AI agents capable of navigating the most intricate web pages without detection. With minimal coding, your AI agent can interact with any website discreetly and efficiently at scale. Furthermore, you can utilize the live session feature whenever necessary to involve human assistance for more complex tasks. This infrastructure provided by Browserbase serves not only web scraping and automation needs but also supports various applications related to LLMs, making it an invaluable resource for developers. As technology evolves, the potential for Browserbase to adapt and enhance automation practices will only grow.

Scrapely provides an all-encompassing web scraping and automation service, boasting features like unlimited CAPTCHA resolution, web crawling, and browser automation, all bundled into a single pricing plan that emphasizes concurrency. Rather than charging per request, Scrapely's pricing structure is based solely on the number of concurrent threads in use, allowing users to enjoy unrestricted CAPTCHA solving, crawls, and bandwidth without any surprise charges. Key features offered by Scrapely include: - CAPTCHA Solver API: Users can effortlessly supply a sitekey to receive a token, with support for both reCAPTCHA v2 and v3. - Smart Crawler API: By entering a URL, users can obtain a fully rendered DOM in real-time, enhancing their data extraction capabilities. - Browser Automation: Users can interact with dynamic web pages through REST API or Python SDK, performing actions such as clicking and scrolling. - BYOP (Bring Your Own Proxy): Users have the flexibility to integrate their choice of residential or datacenter proxies without incurring additional fees. - MCP Server: This feature allows direct connections to AI agents like Claude or Cursor, enabling fully autonomous scraping processes. Starting at a competitive rate of $12 per month for five threads, Scrapely also offers a free trial with one thread, providing potential users the opportunity to test the service. This adaptable pricing model empowers users to customize their experience to meet their unique scraping requirements effectively. Additionally, Scrapely's commitment to user satisfaction ensures that customers can scale their operations seamlessly as their needs evolve.

A browser-based AI agent, Actionbook takes on your actual work instead of just answering questions. Install it as a Chrome extension, then open its side panel on whatever page you're already on and describe the task — it carries out the work while you watch, using your existing logins to operate the sites you normally use by hand. Rather than a plain reply, you get a completed output: a report backed by real sources, a ready-to-use CSV, or a draft message set to send. Once a workflow runs the way you like, turn it into a reusable Recipe so the same job can be repeated with a single click next time.

Project Solara represents Microsoft’s groundbreaking initiative that integrates chip-to-cloud technology to improve agent-first devices, setting the stage for a future where such agents are readily available, user-friendly, and consistently operational across a variety of device types. Rather than centering on traditional applications, Project Solara strives to cultivate an expansive, multi-agent ecosystem that allows for the creation, deployment, and use of unique agents across all technological levels. Microsoft foresees a diverse selection of agent-first devices that range from small to large, stationary to portable, and personal to enterprise, all supported by a robust operating system, intuitive user interface, an active developer community, a range of applications, online mediation platforms, and integrated silicon solutions. The initiative aims to amplify the capabilities and accessibility of agents by harmonizing hardware, software, cloud services, and development resources into a unified framework that encourages innovative interaction methods. Furthermore, Project Solara showcases two conceptual devices that exemplify the real-world applications of agent-first computing, highlighting the potential for revolutionary changes in user experiences with everyday technology. This project not only redefines how agents can be integrated into devices but also opens doors for future advancements in artificial intelligence and user interfaces.

The Claude Marketplace is an essential part of the Claude AI ecosystem, offering a platform where developers and organizations can discover, install, and share a variety of extensions that enhance the functionalities of Claude-driven applications and agents. Functioning as a centralized hub, the marketplace features numerous plugins, tools, and "skills" that significantly expand Claude's capabilities beyond its core AI functionalities. By utilizing these extensions, users can tap into specialized features, such as external data access, automated web browsing, integration with third-party APIs, and customized workflows in domains like DevOps, research, analytics, and software engineering. This transformation allows Claude to transition from a basic conversational AI into a multifaceted platform capable of executing complex tasks and interacting with diverse systems. Additionally, the marketplace facilitates developers in creating and sharing plugins that integrate smoothly with Claude's operational framework, cultivating a collaborative environment that stimulates innovation and customization. The emphasis on collaboration not only enriches the user experience but also drives continuous progress in AI technology, empowering a vibrant community of creators and users alike. As new extensions are developed and shared, the potential for Claude's applications continues to grow, making it an increasingly valuable tool in various industries.

Firstwork provides cutting-edge AI solutions tailored for workforce operations, employing enterprise-level AI agents that boost candidate fill rates, reduce drop-off rates, and ensure a smooth transition from the moment an offer is accepted to the first day of work. Specifically crafted for individuals who influence our environment, Firstwork simplifies numerous operational functions that can impede hiring, onboarding, compliance, and workforce management. The Document Verification agent diligently verifies IDs, permits, and other essential documents in real time, quickly identifying any discrepancies, subpar image quality, or missing information to streamline the onboarding journey. Moreover, the Browser Automation feature efficiently manages web-based tasks across various external platforms and systems, guaranteeing that necessary checks and updates occur simultaneously while maintaining detailed audit trails. Additionally, the Workflow Engine converts standard operating procedures into automated, adaptable workflows driven by AI, allowing teams to design complex, multi-step processes that function smoothly from initiation to completion without manual intervention, thereby significantly improving overall efficiency. This groundbreaking methodology not only enhances productivity but also fosters a more responsive workforce management strategy, ultimately paving the way for continuous improvement and innovation in hiring practices.

Browser Use is an innovative open-source library in Python that enables AI agents to seamlessly engage with web browsers. By integrating advanced AI functionalities with robust browser automation, it allows agents to perform a variety of tasks, including submitting job applications, navigating websites, collecting information, and replying to messages on platforms like WhatsApp. This library supports multiple large language models, such as GPT-4, Claude 3, and Llama 2, facilitating the execution of complex web interactions through a user-friendly interface. Among its impressive features are the ability to recognize visuals while extracting HTML structures for comprehensive web interaction, automated handling of numerous tabs to simplify intricate processes, and element tracking that utilizes XPaths extracted from clicked elements to replicate specific actions executed by the language models. Users are also able to add personalized functionalities, such as data storage in files, executing database queries, sending notifications, or requesting human input. In addition, Browser Use comes with intelligent error handling and self-recovery features, which ensure that automated workflows stay effective and resilient against disruptions. Overall, this combination of capabilities positions Browser Use as a formidable resource for developers aiming to enhance their web automation projects with AI-driven features, ultimately paving the way for more efficient digital interactions.

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.

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.

CosmWasm serves as a groundbreaking smart contracting platform tailored for the Cosmos ecosystem. This documentation aims to provide a comprehensive overview of the technology for developers who are eager to experiment with it or integrate it into their projects. The primary audience includes Go developers familiar with the Cosmos SDK, as well as Rust developers seeking a blockchain solution. As a module that integrates seamlessly with the Cosmos SDK, CosmWasm allows developers to add smart contract functionalities to their blockchain projects without altering the existing architecture. Furthermore, we provide a sample binary, referred to as wasmd, which integrates CosmWasm into the gaiad binary. This enables users to launch a new blockchain equipped with smart contracts from the outset, using well-documented and tested tools alongside the same security measures implemented by the Cosmos Hub. Such straightforward setup processes not only facilitate the onboarding of new developers but also maximize the potential of smart contracts, fostering innovation within the ecosystem. Overall, this platform represents a significant advancement, promoting greater collaboration and experimentation among blockchain developers.