Alternatives to TinyFish

Compare TinyFish alternatives for your business or organization using the curated list below. SourceForge ranks the best alternatives to TinyFish in 2026. Compare features, ratings, user reviews, pricing, and more from TinyFish competitors and alternatives in order to make an informed decision for your business.

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    Google Cloud Platform
    Google Cloud is a cloud-based service that allows you to create anything from simple websites to complex applications for businesses of all sizes. New customers get $300 in free credits to run, test, and deploy workloads. All customers can use 25+ products for free, up to monthly usage limits. Use Google's core infrastructure, data analytics & machine learning. Secure and fully featured for all enterprises. Tap into big data to find answers faster and build better products. Grow from prototype to production to planet-scale, without having to think about capacity, reliability or performance. From virtual machines with proven price/performance advantages to a fully managed app development platform. Scalable, resilient, high performance object storage and databases for your applications. State-of-the-art software-defined networking products on Google’s private fiber network. Fully managed data warehousing, batch and stream processing, data exploration, Hadoop/Spark, and messaging.
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  • 2
    Amazon Web Services (AWS)
    Amazon Web Services (AWS) is the world’s most comprehensive cloud platform, trusted by millions of customers across industries. From startups to global enterprises and government agencies, AWS provides on-demand solutions for compute, storage, networking, AI, analytics, and more. The platform empowers organizations to innovate faster, reduce costs, and scale globally with unmatched flexibility and reliability. With services like Amazon EC2 for compute, Amazon S3 for storage, SageMaker for AI/ML, and CloudFront for content delivery, AWS covers nearly every business and technical need. Its global infrastructure spans 120 availability zones across 38 regions, ensuring resilience, compliance, and security. Backed by the largest community of customers, partners, and developers, AWS continues to lead the cloud industry in innovation and operational expertise.
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    Vercel

    Vercel

    Vercel

    Vercel is an AI-powered cloud platform that helps developers build, deploy, and scale high-performance web experiences with speed and security. It provides a unified set of tools, templates, and infrastructure designed to streamline development workflows from idea to global deployment. With support for modern frameworks like Next.js, Svelte, Vite, and Nuxt, teams can ship fast, responsive applications without managing complex backend operations. Vercel’s AI Cloud includes an AI Gateway, SDKs, workflow automation tools, and fluid compute, enabling developers to integrate large language models and advanced AI features effortlessly. The platform emphasizes instant global distribution, enabling deployments to become available worldwide immediately after a git push. Backed by strong security and performance optimizations, Vercel helps companies deliver personalized, reliable digital experiences at massive scale.
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    Subconscious

    Subconscious

    Subconscious

    Subconscious is a developer-first platform designed to build, deploy, and scale production-ready AI agents by handling the hardest parts of agent architecture automatically. It provides a complete agent system that manages context, orchestrates tools, and enables long-horizon reasoning, allowing developers to focus on defining goals and capabilities rather than stitching together complex infrastructure. It introduces a unified inference engine composed of a co-designed model and runtime that decomposes complex tasks, generates workflows dynamically, and executes multi-step reasoning without manual context engineering or multi-agent orchestration. Unlike traditional approaches that rely on chaining APIs and frameworks, Subconscious enables agents to take in goals and tools, then autonomously plan, reason, and act with minimal human intervention, effectively creating systems that can “get the job done” on their own.
    Starting Price: $2 per 1M tokens
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    Agent Computer

    Agent Computer

    Agent Computer

    AgentComputer is a cloud-based infrastructure platform designed specifically for running AI agents in isolated, fully functional virtual environments. It provides “cloud computers” in the form of lightweight Ubuntu-based sandboxes that can be provisioned in under a second, allowing developers to quickly spin up, access, and manage environments through a command-line interface. These environments include persistent storage, meaning any installed tools, files, or configurations remain intact across restarts, enabling continuous and stateful workflows. It is built around an agent-first architecture, where AI agents can directly execute tasks within these environments via SSH, eliminating friction between instruction and execution. It includes an integrated AI harness that supports agents such as Claude, Codex, and other coding assistants, enabling collaborative, multi-agent workflows within the same system.
    Starting Price: $20 per month
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    Contextually

    Contextually

    Contextually

    Contextually is an enterprise AI platform designed to help organizations build and deploy production-ready AI agents that can reason over complex, domain-specific data using advanced context engineering. It provides a unified context layer that connects AI models to large volumes of enterprise knowledge, including documents, databases, and multimodal data, enabling agents to deliver accurate, grounded, and relevant outputs. It allows users to define and configure agents quickly through prebuilt templates, natural language prompts, or a visual drag-and-drop interface, supporting both dynamic agents and structured workflows tailored to specific use cases. It includes tools for ingesting and processing massive datasets from multiple sources, transforming unstructured and structured information into retrievable knowledge with intelligent parsing, metadata generation, and continuous updates.
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    Mistral AI Studio
    Mistral AI Studio is a unified builder-platform that enables organizations and development teams to design, customize, deploy, and manage advanced AI agents, models, and workflows from proof-of-concept through to production. The platform offers reusable blocks, including agents, tools, connectors, guardrails, datasets, workflows, and evaluations, combined with observability and telemetry capabilities so you can track agent performance, trace root causes, and govern production AI operations with visibility. With modules like Agent Runtime to make multi-step AI behaviors repeatable and shareable, AI Registry to catalogue and manage model assets, and Data & Tool Connections for seamless integration with enterprise systems, Studio supports everything from fine-tuning open source models to embedding them in your infrastructure and rolling out enterprise-grade AI solutions.
    Starting Price: $14.99 per month
  • 8
    Daytona

    Daytona

    Daytona

    Daytona is a cloud-native development runtime that enables developers and AI agents to instantly create, run, and manage isolated sandboxes for any codebase. Each sandbox runs inside a secure microVM with full Linux compatibility, networking, and persistent storage. Daytona provides SDKs in Python and TypeScript, allowing applications to programmatically execute code, run processes, upload files, or spin up environments dynamically. Teams use Daytona to replace complex local setups with reproducible cloud sandboxes that can be started in seconds and accessed through preview URLs, SSH, or APIs. It’s built for automation, observability, and scalability, powering everything from personal development environments to enterprise-grade agent runtimes.
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    Flowise

    Flowise

    Flowise AI

    Flowise is an open-source platform that enables developers and teams to build AI agents and LLM-powered applications through a visual interface. The platform provides modular building blocks that allow users to create everything from simple chatbot workflows to complex multi-agent systems. With its drag-and-drop design environment, developers can rapidly prototype and deploy AI-powered applications without extensive coding. Flowise supports integrations with more than 100 large language models, embeddings, and vector databases. It also includes features such as human-in-the-loop workflows, observability tools, and execution tracing for monitoring agent behavior. Developers can extend applications through APIs, SDKs, and embedded chat interfaces using TypeScript or Python. By combining visual development tools with scalable infrastructure, Flowise simplifies the process of building and deploying production-ready AI agents.
    Starting Price: Free
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    CrewAI

    CrewAI

    CrewAI

    CrewAI is a leading multi-agent platform that enables organizations to streamline workflows across various industries by building and deploying automated processes using any Large Language Model (LLM) and cloud platform. It offers a comprehensive suite of tools, including a framework and UI Studio, to facilitate the rapid development of multi-agent automations, catering to both coding professionals and those seeking no-code solutions. The platform supports flexible deployment options, allowing users to move their created 'crews'—teams of AI agents—to production with confidence, utilizing powerful tools for different deployment types and autogenerated user interfaces. CrewAI also provides robust monitoring capabilities, enabling users to track the performance and progress of their AI agents on both simple and complex tasks. Additionally, it offers testing and training tools to continually enhance the efficiency and quality of outcomes produced by these AI agents.
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    VideoDB

    VideoDB

    VideoDB

    VideoDB is a modern backend for AI agents, giving them the ability to see, understand, and act on video and audio in real time. It sits between raw media streams and agent reasoning systems, turning continuous streams into structured, searchable context with playable evidence. Our unified See->Understand->Act workflow replaces a fragmented stack of FFmpeg, vector DBs, and transcription tools with a single, programmable media layer. Featuring "Indexes-as-code," we allow developers to extract meaning from spoken words and visual scenes with near-zero latency. VideoDB supports Python and Node.js SDKs and integrates seamlessly with Claude, Cursor, and Codex via the Model Context Protocol (MCP). Built on a streaming-first architecture, it ensures your agents observe the world continuously rather than just reading static files. Whether you are building an AI meeting copilot, camera intelligence, or automated media editing, VideoDB provides the perception layer you need.
    Starting Price: $20/month
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    OpenServ

    OpenServ

    OpenServ

    OpenServ is an applied AI research lab building the infrastructure for autonomous agents. Our next-generation multi-agent orchestration platform combines proprietary AI frameworks and protocols with supreme user simplicity. Automate complex tasks across Web3, DeFAI, and Web2. We’re accelerating the agentic field through numerous academic partnerships, in-house research, and community-focused research initiatives. See the whitepaper detailing the architecture of OpenServ. Seamless developer experience and agent development with our SDK. Receive early access to our platform, white-glove support, and an opportunity to shape the future.
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    Instruct

    Instruct

    Instruct

    Instruct allows anyone to build AI agents in minutes simply by describing the desired outcome in natural language, with no code or complex logic required. The platform then connects to thousands of external tools and services and empowers these agents to act; you can trigger them manually or automatically. The system supports a full lifecycle of agent use. First, you specify what the agent should accomplish; then you link accounts and workflows; finally, you deploy the agent to run immediately or on triggers. Agents can operate across domains such as finance, sales, operations, and marketing, executing multi-step tasks autonomously. They are designed to adapt to changes and handle unexpected conditions, rather than breaking when something shifts. The platform emphasizes outcome-driven intelligence; even when processes are complex, you define success, and the agent figures out the path.
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    LangChain

    LangChain

    LangChain

    LangChain is a powerful, composable framework designed for building, running, and managing applications powered by large language models (LLMs). It offers an array of tools for creating context-aware, reasoning applications, allowing businesses to leverage their own data and APIs to enhance functionality. LangChain’s suite includes LangGraph for orchestrating agent-driven workflows, and LangSmith for agent observability and performance management. Whether you're building prototypes or scaling full applications, LangChain offers the flexibility and tools needed to optimize the LLM lifecycle, with seamless integrations and fault-tolerant scalability.
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    Domino Enterprise AI Platform
    Domino is an enterprise AI platform designed to help organizations build, deploy, and scale AI systems that deliver real business outcomes. It provides end-to-end support for the AI lifecycle, from data science experimentation to production deployment and governance. The platform enables teams to access data, tools, and compute resources through a self-service environment with built-in IT controls. Domino supports the development of machine learning models, generative AI applications, and AI agents using preferred tools and frameworks. It also includes governance features such as model tracking, audit trails, and policy enforcement to ensure compliance and transparency. With hybrid and multi-cloud capabilities, organizations can run AI workloads across on-premises and cloud environments. Overall, Domino helps enterprises operationalize AI at scale while maintaining control, security, and efficiency.
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    MiMo-V2-Pro

    MiMo-V2-Pro

    Xiaomi Technology

    Xiaomi MiMo-V2-Pro is a flagship AI foundation model designed to power real-world agentic workflows and complex task execution. It is built to function as the core intelligence behind agent systems, enabling orchestration of multi-step processes and production-level tasks. The model demonstrates strong capabilities in coding, tool usage, and search-based tasks, performing competitively on global benchmarks. With its large-scale architecture and extended context window, it can handle long and complex interactions efficiently. MiMo-V2-Pro is optimized for practical applications, delivering reliable performance across development, automation, and enterprise workflows.
    Starting Price: $1/million tokens
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    nebulaONE

    nebulaONE

    Cloudforce

    nebulaONE is a secure, private generative AI gateway built on Microsoft Azure that lets organizations harness leading AI models and build custom AI agents without code, all within their own cloud environment. It aggregates top AI models from providers like OpenAI, Anthropic, Meta, and others into a unified interface so users can safely ingest sensitive data, generate organization-aligned content, and automate routine tasks while keeping data fully under institutional control. Designed to replace insecure public AI tools, nebulaONE emphasizes enterprise-grade security, compliance with regulatory standards such as HIPAA, FERPA, and GDPR, and seamless integration with existing systems. It supports custom AI chatbot creation, no-code development of personalized assistants, and rapid prototyping of new generative use cases, helping educational, healthcare, and enterprise teams accelerate innovation, streamline operations, and enhance productivity.
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    Fly.io

    Fly.io

    Fly.io

    Fly.io is a modern cloud platform designed to help developers deploy and run applications quickly and efficiently. It uses lightweight virtual machines called Fly Machines that start instantly and scale based on demand. The platform allows developers to run any code in secure, hardware-isolated environments without complex infrastructure setup. Fly.io supports global deployment across multiple regions, ensuring low-latency performance for users worldwide. It also includes built-in private networking, storage solutions, and monitoring tools. Developers can use their preferred frameworks and tools without needing extensive configuration. By simplifying cloud infrastructure, Fly.io enables teams to build, deploy, and scale applications with ease.
    Starting Price: $0.02 per GB
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    Zyter Symphony
    Zyter Symphony is a next-generation, agent-orchestration platform that enables enterprises to rewire legacy workflows with speed, precision, and flexibility. The platform uses a modular, multi-agent AI architecture to reduce what it calls “process debt” and unlock trapped business value across clinical, administrative, and operational domains. It layers onto any digital core process platform and supports system integration agents, workflow agents, voice agents, coding agents, and knowledge/data-interoperability agents that coordinate across data, people, and systems. With built-in omnichannel collaboration (chat, voice, SMS, video), enterprise-grade security (AES 256-bit encryption, HIPAA readiness), and outcome-driven deployment (cost reduction, improved engagement, higher quality, faster decisions), Symphony is designed to automate full end-to-end workflows, not just isolated tasks.
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    TinyCommand

    TinyCommand

    TinyCommand

    TinyCommand is an all-in-one, no-code automation platform that unifies forms, data tables, workflow logic, email, and AI agents into a single workspace, so business processes can move end-to-end without needing multiple separate tools. On TinyCommand, you can create branded, customizable forms that collect lead or customer data, then immediately trigger workflows; responses go into internal tables where data can be enriched, stored, and queried without an external database. With “TinyWorkflows,” you visually connect actions, conditional logic, API calls, approvals, human checkpoints, or automated steps, using a drag-and-drop interface. Integrated email lets you send personalized, data-driven, and branded messages directly as part of your workflows. And the “TinyAgents” feature enables AI-powered agents to learn your processes and run them at scale, from data enrichment and outreach to automated follow-ups.
    Starting Price: $19 per month
  • 21
    NVIDIA NIM
    Explore the latest optimized AI models, connect AI agents to data with NVIDIA NeMo, and deploy anywhere with NVIDIA NIM microservices. NVIDIA NIM is a set of easy-to-use inference microservices that facilitate the deployment of foundation models across any cloud or data center, ensuring data security and streamlined AI integration. Additionally, NVIDIA AI provides access to the Deep Learning Institute (DLI), offering technical training to gain in-demand skills, hands-on experience, and expert knowledge in AI, data science, and accelerated computing. AI models generate responses and outputs based on complex algorithms and machine learning techniques, and those responses or outputs may be inaccurate, harmful, biased, or indecent. By testing this model, you assume the risk of any harm caused by any response or output of the model. Please do not upload any confidential information or personal data unless expressly permitted. Your use is logged for security purposes.
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    Movestax

    Movestax

    Movestax

    Movestax revolutionizes cloud infrastructure with a serverless-first platform for builders. From app deployment to serverless functions, databases, and authentication, Movestax helps you build, scale, and automate without the complexity of traditional cloud providers. Whether you’re just starting out or scaling fast, Movestax offers the services you need to grow. Deploy frontend and backend applications instantly, with integrated CI/CD. Fully managed, scalable PostgreSQL, MySQL, MongoDB, and Redis that just work. Create sophisticated workflows and integrations directly within your cloud infrastructure. Run scalable serverless functions, automating tasks without managing servers. Simplify user management with Movestax’s built-in authentication system. Access pre-built APIs and foster community collaboration to accelerate development. Store and retrieve files and backups with secure, scalable object storage.
    Starting Price: $20/month
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    10ex

    10ex

    10ex.ai

    10ex is an AI-agentic growth and operations platform that enables companies to design, deploy, and run autonomous AI agents to execute real business workflows across marketing, sales, and research. Unlike traditional automation tools or single-purpose AI features, 10ex provides a unified system for building micro agents and multi-agent workflows that perform end-to-end tasks such as content creation, lead generation, outbound personalization, research, and demand generation—at a scale and speed that would normally require large teams. Core Capabilities AI Agents & Micro Agents: 10ex allows users to access and create specialized AI agents (e.g. Email Template Generator, Lead Magnet Generator, Research Agents) that are outcome-driven and designed for specific business jobs. Each agent operates with defined skills, structured inputs, and high-quality outputs, powered by modern LLM agent frameworks (e.g. Claude Agent SDK).
    Starting Price: $1000
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    NVIDIA Agent Toolkit
    NVIDIA Agent Toolkit is a solution stack designed to build, deploy, and scale autonomous AI agents that can reason, plan, and execute complex tasks across enterprise systems. Unlike traditional generative AI, which responds to single prompts, agentic AI uses sophisticated reasoning and iterative planning to solve multi-step problems independently, enabling systems to analyze data, develop strategies, and complete workflows without continuous human input. It integrates multiple components of the NVIDIA AI ecosystem, including pretrained models, microservices, and development frameworks, allowing organizations to create context-aware AI agents that operate using their own data. These agents can ingest large volumes of structured and unstructured data from enterprise systems, interpret context, and coordinate actions across applications to automate processes such as customer service, software development, analytics, and operational workflows.
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    Nerova

    Nerova

    Nerova

    Nerova is an AI platform designed to create and deploy autonomous “AI employees” that can execute complex business workflows across tools, systems, and environments with minimal human intervention. It enables organizations to build fully customized agents by defining roles, protocols, personality, and knowledge access, allowing each agent to operate like a specialized worker tailored to specific business functions. These agents are capable of direct computer use, interacting with browsers, desktops, and software interfaces while performing multi-step reasoning, decision-making, and task execution in sequence. Nerova supports continuous parallel execution, meaning multiple agent instances can run simultaneously to handle large volumes of tasks efficiently, all while operating 24/7. The platform includes cross-app coordination, allowing agents to move between systems, retrieve data, and complete workflows end-to-end without manual handoffs.
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    Modular

    Modular

    Modular

    Modular is a unified AI inference platform designed to run models efficiently across diverse hardware environments. It enables developers to deploy and scale AI workloads on GPUs, CPUs, and ASICs using a single, integrated stack. The platform optimizes performance from low-level GPU kernels to high-level API endpoints. Modular supports both managed cloud deployments and self-hosted environments, offering flexibility for different use cases. It allows users to run open-source or custom models with high performance and cost efficiency. With features like hardware portability and dynamic scaling, it reduces vendor lock-in and infrastructure complexity. By combining performance optimization and deployment simplicity, Modular helps teams build and run AI applications at scale.
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    Droidrun

    Droidrun

    Droidrun

    Droidrun is a native mobile agent platform that gives users natural-language control over real Android devices to automate any mobile app workflow, from logins and bookings to purchases and data extraction, including access to mobile-only content behind app logins, rate limits, or platform restrictions. Its cloud offering lets users spin up agents in seconds with preinstalled apps, run tasks in parallel across multiple devices, and compose complex, multi-step conditional workflows using conversational commands; recorded workflows can be auto-replayed at high speed. Credential management securely stores login information once for reuse, and the system integrates with existing stacks like LLMs, N8N, or custom scripts to inject real app execution into broader automation pipelines. Developers get SDK examples (including Python integrations with Gemini or Ollama) for embedding Droidrun into their tooling.
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    Claude Managed Agents
    Claude Managed Agents is a pre-built, configurable agent system from Anthropic designed to run long-running, asynchronous tasks on managed infrastructure without requiring developers to build their own agent loops. It acts as a complete “agent harness,” allowing developers to define goals while the system handles execution, orchestration, and state management behind the scenes. Unlike direct model prompting, which requires step-by-step interaction, Managed Agents are designed for tasks that unfold over time, such as research, automation, or multi-step workflows, where the agent can continue working independently after being started. It supports advanced capabilities such as multi-agent orchestration, where a primary agent can coordinate specialized sub-agents that operate in parallel with isolated contexts, improving both speed and output quality.
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    Complete

    Complete

    Complete

    Complete is a collaborative AI workspace that enables teams and AI agents to work side by side in a unified environment designed to execute real workflows from planning to delivery. It centralizes conversations, files, and outputs into a single source of truth so teams can maintain shared context while agents perform tasks such as debugging, documenting, testing code, or generating business deliverables. It introduces structured execution threads that allow agents to run outcome-driven tasks while teams monitor progress and iterate on real outputs. Complete supports running multiple AI models in parallel, enabling specialized agents for coding, testing, and reasoning to operate within the same workflow. It integrates with project management and development tools and can bring AI directly into the IDE to accelerate coding and collaboration.
    Starting Price: $25 per month
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    MuleRun

    MuleRun

    MuleRun

    MuleRun is an always-on AI agent platform designed to automate complex workflows and complete tasks on behalf of users. Unlike traditional AI tools that operate only within chat windows, MuleRun runs on a dedicated computer environment that remains active 24/7. This setup allows the AI agent to monitor tasks, execute processes, and deliver results even when the user is offline. The platform can handle a wide range of activities such as generating reports, analyzing market data, producing presentations, and conducting online research. MuleRun agents can also interact with tools like browsers, files, and automation systems to complete multi-step workflows from start to finish. Its self-evolving intelligence improves over time by learning from completed workflows and shared patterns across the network. By combining continuous operation with intelligent automation, MuleRun helps users delegate work to an AI system that acts proactively rather than reactively.
    Starting Price: $15.90 per month
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    IBM watsonx.ai
    Now available—a next generation enterprise studio for AI builders to train, validate, tune and deploy AI models IBM® watsonx.ai™ AI studio is part of the IBM watsonx™ AI and data platform, bringing together new generative AI (gen AI) capabilities powered by foundation models and traditional machine learning (ML) into a powerful studio spanning the AI lifecycle. Tune and guide models with your enterprise data to meet your needs with easy-to-use tools for building and refining performant prompts. With watsonx.ai, you can build AI applications in a fraction of the time and with a fraction of the data. Watsonx.ai offers: End-to-end AI governance: Enterprises can scale and accelerate the impact of AI with trusted data across the business, using data wherever it resides. Hybrid, multi-cloud deployments: IBM provides the flexibility to integrate and deploy your AI workloads into your hybrid-cloud stack of choice.
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    Agentative

    Agentative

    Agentative

    Agentative is an AI-powered automation platform designed to manage and scale ecommerce operations across multiple marketplaces from a single interface, using intelligent AI agents to handle end-to-end store workflows with minimal human intervention. It enables users to automate TikTok Shop, Amazon, Shopify, and Walmart operations simultaneously, centralizing tasks that are typically fragmented across different tools and dashboards. Its core functionality focuses on full operational automation, including product listings, inventory management, accounting processes, tax handling, and continuous customer service, allowing businesses to maintain 24/7 activity without manual oversight. By leveraging AI agents, the system executes repetitive and time-consuming tasks with consistency and speed, reducing operational complexity while maintaining alignment with predefined business rules and workflows.
    Starting Price: $75 per month
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    Numos

    Numos

    Numos

    Numos is an AI-powered finance automation platform designed to transform how enterprise finance teams operate by connecting fragmented financial systems into a unified, intelligent execution layer that enables autonomous workflows and real-time decision-making. It builds a semantic understanding of a company’s financial stack, integrating ERP systems, billing tools, and operational data into a centralized context engine that powers specialized AI agents capable of executing complex accounting and financial planning tasks end-to-end. These agents automate multi-step workflows across accounts payable, accounts receivable, general ledger classification, and month-end close processes, while also performing continuous monitoring, anomaly detection, and variance analysis to explain financial changes instantly. Unlike traditional tools that rely on static rules and dashboards, Numos applies contextual reasoning to understand vendors, contracts, policies, and financial structures.
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    Cua

    Cua

    Cua

    Cua is a computer-use agent platform that lets AI agents see screens, click buttons, type, and run code just like a human across macOS, Windows, Linux, browsers, and mobile environments. It provides cloud-based, sandboxed desktops where agents can automate real software workflows without relying on APIs. Built on open-source Cua agents, the platform enables developers to build, run, and scale computer-use agents with precision and reliability. Cua supports multi-step tasks, structured outputs, and human-in-the-loop recovery for complex automation. Agents operate in fully isolated environments to ensure safety and reproducibility. Cua is designed to make AI interaction with real applications practical and scalable.
    Starting Price: $10/month
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    Gobii

    Gobii

    Gobii

    Gobii is a cloud-hosted platform that enables you to spin up fully managed browser-automation agents via API, allowing tasks like web-based research, form-filling, data extraction, and multi-step workflows to be automated at scale. These agents operate like “always-on employees” that can browse websites, even those without APIs, navigate dynamic content, handle JavaScript, and even rotate proxies automatically. Users can create agents, assign them prompts or tasks, and retrieve structured JSON outputs or live previews of the agent’s browser actions. Gobii supports synchronous and asynchronous task execution, secret handling for things like login credentials, schema-enforced output validation, and integrates with popular programming languages (Python, Node.js) for seamless implementation. The platform emphasises scalability (hundreds of tasks in parallel), enterprise-grade security (audit logs, proxies, task management), and a simple developer experience.
    Starting Price: $30 per month
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    GLM-5.1

    GLM-5.1

    Zhipu AI

    GLM-5.1 is the latest iteration of Z.ai’s GLM series, designed as a frontier-level, agent-oriented AI model optimized for coding, reasoning, and long-horizon workflows. It builds on the GLM-5 architecture, which uses a Mixture-of-Experts (MoE) design to deliver high performance while keeping inference costs efficient, and is part of a broader push toward open-weight, developer-accessible models. A core focus of GLM-5.1 is enabling agentic behavior, meaning it can plan, execute, and iterate across multi-step tasks rather than simply responding to single prompts. It is specifically designed to handle complex workflows such as debugging code, navigating repositories, and executing chained operations with sustained context. Compared to earlier models, GLM-5.1 improves reliability in long interactions, maintaining coherence across extended sessions and reducing breakdowns in multi-step reasoning.
    Starting Price: Free
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    Cofounder

    Cofounder

    The General Intelligence Company Of New York

    Cofounder 2 is an AI automation system designed to help users run and organize workflows across their entire tech stack using natural language as the primary interface. It connects directly to existing tools and platforms, allowing users to automate tasks, manage operations, and coordinate processes without needing to manually configure complex integrations. It uses AI agents that can understand instructions written in plain English, then plan and execute multi-step workflows such as project management, communication handling, or data processing, effectively acting as an intelligent operational layer on top of the software users already rely on. Cofounder emphasizes seamless integration and workflow orchestration, enabling users to link multiple tools together and create automated “flows” that operate across systems. Its agents are capable of reasoning through tasks, adapting to different contexts, and handling technical execution behind the scenes.
    Starting Price: $20 per month
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    Hyperagent

    Hyperagent

    Airtable

    Hyperagent is a cloud-based AI agent platform designed to move beyond traditional chat interfaces by enabling autonomous, task-driven agents that can perform real work across an organization. Rather than acting as a simple chatbot, it provides “powerful cloud agents with a full computing environment” that can browse the web, analyze data, generate content, build applications, and interact with existing tools and services in real time. These agents are capable of executing complex, multi-step workflows such as sourcing candidates, compiling executive reports, or planning marketing campaigns, all while integrating with platforms like Slack, Gmail, and CRM systems to gather and act on data. A core feature of Hyperagent is its ability to learn and improve over time by storing “skills and memories,” allowing it to adapt to company-specific processes, internal data structures, and brand guidelines without requiring explicit retraining.
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    MaxClaw

    MaxClaw

    MiniMax

    MaxClaw is a managed AI agent deployment environment created by MiniMax that allows users to launch autonomous AI agents instantly without needing to configure servers, infrastructure, or maintenance. It is designed to simplify the process of building and running intelligent agents by providing an always-on environment where agents can execute tasks, interact with tools, and respond to requests continuously. MaxClaw integrates with the broader MiniMax Agent ecosystem, which uses advanced AI models capable of multi-step planning, reasoning, and task execution across complex workflows. Instead of manually deploying agent frameworks or maintaining cloud infrastructure, users can deploy an operational AI agent within seconds, allowing the system to handle tasks such as automation, research, content generation, coding, or data analysis.
  • 40
    Qwen3.6-Max-Preview
    Qwen3.6-Max-Preview is a next-generation frontier language model designed to push the limits of intelligence, instruction following, and real-world agent capabilities within the Qwen ecosystem. Building on the Qwen3 series, this preview release introduces stronger world knowledge, sharper instruction alignment, and significant improvements in agentic coding performance, enabling the model to better handle complex, multi-step tasks and software engineering workflows. It is engineered for advanced reasoning and execution scenarios, where the model not only generates responses but also interacts with tools, processes long contexts, and supports structured problem-solving across domains such as coding, research, and enterprise workflows. The architecture continues the Qwen focus on large-scale, high-efficiency models capable of handling extensive context windows and delivering consistent performance across multilingual and knowledge-intensive tasks.
    Starting Price: Free
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    NVIDIA AI Enterprise
    The software layer of the NVIDIA AI platform, NVIDIA AI Enterprise accelerates the data science pipeline and streamlines development and deployment of production AI including generative AI, computer vision, speech AI and more. With over 50 frameworks, pretrained models and development tools, NVIDIA AI Enterprise is designed to accelerate enterprises to the leading edge of AI, while also simplifying AI to make it accessible to every enterprise. The adoption of artificial intelligence and machine learning has gone mainstream, and is core to nearly every company’s competitive strategy. One of the toughest challenges for enterprises is the struggle with siloed infrastructure across the cloud and on-premises data centers. AI requires their environments to be managed as a common platform, instead of islands of compute.
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    BigFish

    BigFish

    Solveda

    BigFish is a world-class E-commerce layer that runs on the OFBiz open source project, which serves as the foundation for thousands of E-commerce and ERP solutions. BigFish demonstrates the true power of OFBiz by further extending, enhancing and simplifying OFBiz to create a complete ERP along with the multi-channel retail solution. Simple, object-oriented, robust, and secure, BigFish is feature-rich and created to be driven by your business and not your IT. BigFish comes packed with all the features required to quickly build a revenue-generating website. A framework with will all the necessary functionality to start generating revenue online. That can be customized to add additional functionality if desired. Powerful business tooling via the BigFish Admin Module, which provides an easy-to-use interface to manage all the daily tasks that are critical to the success of any eCommerce implementation.
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    Microsoft Agent Framework
    Microsoft Agent Framework is an open source SDK and runtime designed to help developers build, orchestrate, and deploy AI agents and multi-agent workflows using languages such as .NET and Python. It combines the simple agent abstractions of AutoGen with the enterprise-grade capabilities of Semantic Kernel, including session-based state management, type safety, middleware, telemetry, and broad model and embedding support, creating a unified platform for both experimentation and production use. It introduces graph-based workflows that give developers explicit control over how multiple agents interact, execute tasks, and coordinate complex processes, enabling structured orchestration across sequential, concurrent, or branching scenarios. It supports long-running and human-in-the-loop workflows through robust state management, allowing agents to maintain context, reason through multi-step problems, and operate continuously over time.
    Starting Price: Free
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    Claude Agent SDK
    The Claude Agent SDK is a developer toolkit that enables the creation of autonomous AI agents powered by Claude, allowing them to perform real-world tasks beyond simple text generation by interacting directly with files, systems, and tools. It provides the same underlying infrastructure used by Claude Code, including an agent loop, context management, and built-in tool execution, and is available for use in Python and TypeScript. With this SDK, developers can build agents that read and write files, execute shell commands, search the web, edit code, and automate complex workflows without needing to implement these capabilities from scratch. It maintains persistent context and state across interactions, enabling agents to operate continuously, reason through multi-step problems, take actions, verify results, and iterate until tasks are completed.
    Starting Price: Free
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    Polyscope

    Polyscope

    Beyond Code

    Polyscope is an agent-first development environment designed to orchestrate and run multiple AI coding agents in parallel, allowing developers to automate complex software engineering workflows. It works with advanced coding models such as Claude Code and OpenAI Codex, enabling users to launch several agents simultaneously while maintaining separate, isolated workspaces for each task. Each agent operates inside its own copy-on-write environment, which allows the system to safely experiment with different approaches, modify files, and test changes without affecting the original project. It enables developers to run dozens of AI agents concurrently to generate code, analyze repositories, perform debugging, or experiment with alternative solutions across the same codebase. Itis delivered as a native macOS tool designed for high-performance agent execution, giving engineers a centralized interface to observe agent progress and manage tasks.
    Starting Price: $99 per year
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    Fellou

    Fellou

    Fellou

    Fellou is the world's first agentic browser that automates complex tasks. Enjoy hands-free research, cross-platform workflow automation, and intelligent task execution across the web. Fellou's Deep Action feature transforms intricate multi-step tasks, like form submissions, report generation, or scheduling, into simple commands. Its proactive intelligence anticipates user needs, offers action recommendations, and builds a personalized knowledge base. Fellou operates in a sandboxed environment, allowing agents to execute tasks in the background without disrupting the user's workflow. It enables users to create, share, and utilize specialized agents tailored to specific domains or tasks. Fellou supports cross-platform deep search, enabling parallel searches across public websites and authenticated platforms like Quora, X, and LinkedIn, and can generate shareable visual reports.
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    K-Dense Web
    K-Dense is an autonomous AI agent platform designed to execute complex, multi-step workflows across domains such as science, engineering, healthcare, finance, and market research. It allows users to upload data or describe a goal, after which the AI decomposes the objective, runs analyses, executes code, and generates professional reports and visualizations on secure cloud infrastructure. Unlike traditional AI tools that handle isolated tasks, K-Dense coordinates specialized agents that can plan experiments, review literature, design analyses, and produce publication-ready outputs with full traceability and validation loops. It supports end-to-end task automation, autonomous machine learning, and professional writing, enabling users to move from raw data to polished deliverables with minimal manual intervention. Built as a fully hosted environment, K-Dense integrates multiple scientific databases, Python libraries, and research tools.
    Starting Price: $50 per month
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    Composio

    Composio

    Composio

    Composio is a platform that enables AI agents to seamlessly interact with external tools and applications. It provides pre-built integrations with over 1,000 apps, allowing agents to execute tasks across services like Slack, Gmail, GitHub, and more. The platform handles complex processes such as authentication, tool execution, and sandboxed environments automatically. Composio supports dynamic tool selection, ensuring agents use the right tools based on user intent. It also enables secure, parallel execution of workflows in isolated environments. Developers can build agents that move beyond conversation to perform real-world actions. By simplifying integrations and execution, Composio helps turn AI agents into powerful, task-performing systems.
    Starting Price: $49 per month
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    Sprites

    Sprites

    Sprites

    Sprites.dev is a cloud infrastructure platform that provides persistent, hardware-isolated Linux environments designed to run arbitrary code safely and efficiently. Each “Sprite” functions as a fully functional virtual machine that can be created in seconds, giving developers instant access to a ready-to-use environment with root access and a complete filesystem. Unlike traditional containers or serverless functions, these environments are stateful, meaning any installed packages, files, or configurations remain intact between sessions, allowing users to pick up exactly where they left off. Sprites automatically hibernate when idle and resume on demand, maintaining their state while optimizing resource usage. It includes features such as checkpoint and restore, enabling users to save and revert entire system states quickly, which is especially useful for experimentation and iterative development.
    Starting Price: $30 per month
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    Eclipse GlassFish

    Eclipse GlassFish

    Eclipse Foundation

    Eclipse GlassFish is a Jakarta EE compatible implementation sponsored by the Eclipse Foundation. We are happy to announce the final release of Eclipse GlassFish 6.1. This release provides implementations of the Jakarta EE 9.1 Platform and Web Profile specifications. Download links are available from the GlassFish Download page. Eclipse GlassFish 6.1 implements the Jakarta EE 9.1 specification (Jakarta EE 9.1 Platform, Jakarta EE 9 Web Profile). This is the first release candidate of Eclipse GlassFish 6.1 and is available for download. Eclipse GlassFish 6.1 is targetted to be a Compatible Implementation of Jakarta EE 9.1. Note this release requires JDK 11. The final release is scheduled to coincide with the final release of Jakarta EE 9.1.