2026 Top 6 zero-code cloud AI Agent tools, ArkClaw and other ordinary people can also get started

Zero-code AI Agents are no longer just for engineers. Starting from the second half of 2025, cloud Agent platforms will emerge one after another, such as ArkClaw, Manus, Devin, Lindy, Replit Agent, and AgentGPT online version. Ordinary people can build AI assistants that can check data, send emails, and manage schedules without writing a line of code. This article selects 6 cloud agents that are worthy of ordinary people trying in 2026, and explains them clearly in four dimensions: how easy it is to get started, what they can do, whether they are expensive or not, and whether they have any pitfalls.

What is Cloud AI Agent

Let’s talk about the definition first. AI Agent is an AI model plus a set of tool calling capabilities that can automatically complete multi-step tasks without the need for human step-by-step operations. The cloud version does not require you to install local software, you can just log in to the web page and use it. All calculations and tool calls are run on the service provider's server.

The average person cares about 3 things the most. What can it do, is it expensive, and is the data safe? The following 6 tools focus on these 3 things.

ArkClaw all-cloud Skill Platform

ArkClaw is a new all-cloud AI Agent platform launched in the past year, focusing on the ideas of skill store and team collaboration. Users do not need to install any software. After logging in, they select a Skill template, such as "Automatically organize weekly reports" or "Competitive product price monitoring", fill in a few parameters and start running.

It is characterized by a large number of community-contributed templates in the Skill store, covering various scenarios of operations, sales, R&D, and customer service. The specific prompts and tool configurations of each Skill are relatively transparent, which is suitable for users who don’t trust black boxes. The specific price range is based on the current page of the official website. A common practice is that the free version has a small number of executions per month, and the paid version is subscribed on a monthly basis.

Suitable for the crowd: small and medium-sized enterprise operation and marketing teams, as well as individual users who need to repeatedly run certain tasks.

Manus integrated task agent

Manus is a general agent produced in China. It became popular in the domestic AI circle with a public demonstration video in 2025. Its positioning is often compared to the "domestic version of Devin". It can accept a natural language task, then automatically split it, search the Internet, write code, generate files, and send emails, all in one go.

The highlight is the task tracking interface. You can see what the Agent is doing at every step and intervene at any time if there is a problem. It has also added browser automation capabilities in the future, and can log in to third-party websites to complete practical operations such as booking flights, checking logistics, and filling out forms. The specific price strategy and registration threshold change over time, please refer to the latest page of the official website.

Suitable for people: Individuals or teams who need Agent to complete complex cross-platform tasks, such as freelancers, content creators, and e-commerce operations.

Devin Engineer Exclusive Agent

Devin is an AI engineer produced by Cognition AI. The public demonstration video in early 2024 made it famous in one fell swoop. It focuses on software engineering tasks, trying to automate everything from reading GitHub issues to submitting PRs. Devin comes with a Linux sandbox, browser, and code editor, with the goal of debugging like a real engineer.

The price range is significantly higher than that of Agent tools for C-side, but the manufacturer's comparison anchor is "hiring an engineer" rather than personal subscription. Please refer to the official website for specific pricing.

Suitable for people: small teams, independent developers, and technology start-ups with clear programming tasks but insufficient manpower.

Lindy AI Workflow Agent

Lindy focuses on enterprise workflow automation. The product form is to turn Agents into "employees", and each employee is bound to specific responsibilities, such as "email assistant", "recruitment coordinator", and "customer success manager".

The highlight is its deep integration with enterprise tools. Gmail, Slack, Notion, Hubspot, Calendly, and Zoom are all its common native integration objects. After setting up an employee, it stays in the background and is automatically triggered when something happens. Price brackets are divided according to the number of employees and the number of tasks, and are subject to the current page of the official website.

Suitable for people: Entrepreneurs in small companies who need to automate repetitive emails, schedules, and customer follow-up processes.

Replit Agent browser is IDE

Replit Agent is the Replit platform's built-in Agent capability in the cloud IDE. You describe what app you want to build, and the Agent automatically writes code, installs dependencies, runs services, and sends deployment links, all in the browser.

The highlight is that from idea to launch, the database, front-end, API, and domain name can all be ready in the Replit ecosystem. It is packaged with the Replit main subscription, which is subject to the current Core / Teams level on the official website.

Suitable for people: product managers, non-technical entrepreneurs, and student projects who want to quickly make MVPs to verify their ideas.

AgentGPT online version is the first choice for getting started

AgentGPT is one of the earliest open source Agent projects. It emerged in 2023 with the concept of "autonomous planning tasks" and now has an officially maintained online version. You enter a goal, and it plans steps, adjusts APIs, and produces results by itself without any configuration.

The highlight is that the entry barrier is extremely low and you can get started in just a few minutes. The disadvantage is that its capabilities are one level lower than the above 5 models, and its tool calls are limited, making it more suitable for demonstrating principles or processing plain text tasks.

Suitable for the crowd: Newbies who are new to Agent and want to try it out before deciding whether to pay.

How to choose an Agent that suits you

Divided by scene. For daily workflow automation choose Lindy or ArkClaw. For complex cross-platform tasks, choose Manus. To develop software projects, choose Devin or Replit Agent. Choose AgentGPT for your first try.

According to budget. Start with the free tiers of AgentGPT or ArkClaw on a zero budget. For medium budgets, choose the standard package of individual subscriptions to Lindy or Replit. If you have sufficient budget and the task is programming-oriented, you can try Devin.

According to the learning curve. The easiest ones to get started with are AgentGPT and ArkClaw. Medium is Lindy and Manus. Those who need to know code are Devin and Replit Agent.

Common pitfalls when using Agent

The first pitfall is that Agent is omnipotent. Agents will still make mistakes, and key tasks must review the results, especially those involving payment, email sending, and contract generation.

The second pitfall is that the data is not separated. It is dangerous to give all account passwords to the Agent. It is recommended to create a dedicated Gmail account for Agent to use and isolate daily accounts.

The third pitfall is impulse subscription. When I see a new Agent, I subscribe, and in a few months I will burn a lot of money every month. Use the free version to evaluate it first, and make sure you can save several times the subscription fee before paying.

The fourth pitfall is not to read the Agent work log. Most platforms have Agent running logs. If you have any questions, check the logs first and then ask support. Blind re-runs often hide real bugs.

FAQ

Can zero-code agents really replace hiring people?

Some can, some can't. Tasks that are highly repetitive and have clear rules can be replaced, such as sending daily reports, sorting customer emails, and generating simple reports. Agents are far from replacing tasks that require subjective judgment, cross-department communication, and emergency response. The rational expectation is that the Agent will save you part of the process work, rather than fill a complete position for you. The overall cost of hiring an Agent workflow helper is usually much lower than hiring an intern, which is its appeal, but the upper limit of productivity is significantly lower than that of a mature employee.

Can Manus and Devin be used in China?

Manus is produced in China and has direct access without any barriers. Devin's server is in the United States. Domestic access usually requires access to the Internet, but creating an account and making payments can be run smoothly. Lindy, ArkClaw, and Replit Agent also require scientific Internet access in most cases. AgentGPT has a mirror station that can be directly connected in China, but its functions are castrated. If domestic users prefer Manus, it has no barriers to compliance and has the lowest response delay.

Is it safe for Agent to upload my data to the cloud?

Depends on the scene. The risks of using cloud agents for daily operational data and public content are acceptable. Be careful with sensitive customer information, contracts, medical data, and source code. Mainstream platforms such as Manus, Lindy, and ArkClaw will emphasize data encryption and the promise not to be used for training. The specific compliance certificate is based on the manufacturer's current public page. Devin typically provides enterprise clients with a dedicated compliance channel. The safest approach is to use a sandbox account, limit Agent permissions to the minimum, and regularly audit Agent call logs.

What should I do if Agent suddenly runs away and spends a lot of money?

3 protection mechanisms. The first is the upper limit of platform layer API calls. Most agent platforms have it, and an alarm will be issued if the monthly fixed limit is exceeded. The second is the limit on the number of steps for a single task. Most platforms have upper limits set to avoid endless loops. The third is your own budget alarm clock. Set a single transaction limit for a bank card or bind a secondary card specifically for the agent to use, so that it does not have the right to touch the main account.

After learning Agent, do I still need to learn prompt engineering?

Learn a little but not in depth. The zero-code Agent platform has encapsulated the prompt template, and ordinary users only need to fill in a few parameters. But you need to know how to describe the task clearly and specifically. This is the essence of prompt engineering. Remember the 3 principles: make goals clear and specific, provide examples, and set fallback on failure. Knowing these 3 points, the efficiency of using Agent can be doubled.

Source of inspiration: Ruan Yifeng's "Zero-installation "Cloud Shrimp Farming": ArkClaw User Guide" https://www.ruanyifeng.com/blog/2026/03/arkclaw.html