# AI Agent Platform

Hello, I'm Yupi.

In previous articles, we learned about no-code platforms that can generate websites and applications with a single sentence. But if you want AI to handle more complex tasks, such as:

- Generating a large website with dozens of pages
- Creating a PPT with dozens of slides
- Automatically generating 100 short videos
- Running complex workflows for several hours

These tasks may not be suitable for no-code platforms because they require continuous interaction, confirmation, and modification with AI. Is there a tool that allows AI to autonomously plan tasks and execute them until completion?

In this article, I will introduce the **AI Agent Platform**, a powerful tool that enables AI to autonomously execute complex tasks.

## 1. What is an AI Agent Platform?

Before diving into AI Agent Platforms, let me clarify a few easily confused concepts:

1) **No-code platforms** (Bolt.new, Lovable, Miaoda): Generate complete projects with a single sentence, suitable for quickly creating websites and applications.

You say a sentence, AI generates the code, you preview the result, and deploy if satisfied. The entire process may only take a few minutes.

2) **AI application development platforms** (Dify, Coze, Bailian): Visually configure AI applications, suitable for creating AI applications like intelligent customer service or knowledge base Q&A.

You configure workflows by dragging and dropping, set prompts and knowledge bases, without writing code.

3) **AI Agent Platforms** (Flowith, Manus): AI autonomously plans and executes complex tasks, which can run for hours or even days.

You only need to describe the goal, and AI will plan the steps, call tools, and execute tasks until completion.

In simple terms, **an AI Agent Platform is like having AI as a project manager. You just tell it the goal, and it plans and executes on its own.**

## 2. Flowith: The Infinite AI Agent

[Flowith](https://flowith.io/) is one of the hottest AI Agent Platforms, dubbed "the world's first infinite AI agent" (possibly self-proclaimed).

What does "infinite" mean?

If we imagine AI agents as humans, some give up when tasks are too complex or encounter difficulties; others persist tirelessly, dedicating their lives to completing the task.

Flowith is the latter. **Infinite steps, infinite context, infinite tools** enable it to autonomously execute tasks continuously until completion.

![](https://pic.yupi.icu/1/1749013910178-598b6214-90e0-4940-b586-acac831947fa.png)

### How to Use Flowith?

Let me demonstrate Flowith's powerful capabilities with a few practical examples.

#### 1. Generating a Complex Large Website

Visit the [Flowith homepage](https://flowith.io/), and you'll see the familiar AI conversation interface. This is Flowith's basic functionality, capable of generating text, images, videos, and enriching responses using web search tools and custom knowledge bases.

![](https://pic.yupi.icu/1/image-20250604130433876.png)

I particularly like the **Comparison Mode**, which allows you to select various mainstream models and quickly compare their responses to the same prompt:

![](https://pic.yupi.icu/1/1749014090154-389652e2-bff4-429a-aca5-caf340413958.png)

Now, let's activate Flowith's **Agent Mode**, a super-intelligent agent that autonomously plans tasks, calls tools, and executes steps in the cloud. Also, enable **Infinite Mode** to keep it working until the task is complete.

![](https://pic.yupi.icu/1/1749014872173-4d7c5086-ea2c-4faa-89f2-c7b5307a5183.png)

Input the prompt:

```
Generate a complex enterprise-level frontend website - a low-code generation tool.
It must have at least 20 pages and ensure all core functionalities are fully available.
```

After execution, we enter the **Workflow Canvas Page**, where AI first plans numerous steps for the entire task. For example, to create a website, it starts by writing a detailed architecture design document, then builds the basic UI framework, and develops each page sequentially.

![](https://pic.yupi.icu/1/1749015118875-d8509204-be5d-4c01-b2c8-50737f20a9ba.png)

This is how AI agents autonomously execute complex tasks. Although it can't complete a large task at once, it breaks it down into smaller tasks, completes them one by one, and summarizes the final result.

![](https://pic.yupi.icu/1/1749015434868-dc3ab67e-9196-4ad1-9835-5afe4744f789.png)

AI autonomously selects appropriate tools to complete tasks, such as generating a website and deploying it to a cloud server, allowing us to view the website's progress in real-time:

![](https://pic.yupi.icu/1/1749015539809-9fd2d7b3-8377-4a54-a904-10eae595f1ee.png)

After a long wait, about 2 hours, the entire website is finally generated. I've never had an agent autonomously execute for such a long time in Cursor.

Let's look at the generated files. First, the documentation is very comprehensive, including test reports, release confirmation documents, system maintenance guides, test plans, summary reports, and more.

![](https://pic.yupi.icu/1/1749016112489-c0ef8c0c-718b-4203-a96b-edc3876e95f5.png)

Now, let's look at the generated project code. The page files are quite complete, generating over 5000 lines of code, which is the scale of a small to medium-sized project.

![](https://pic.yupi.icu/1/1749016258008-7c68d00a-2ea8-40f2-a7d9-ef32e4432d86.png)

Let's run the website and see the effect. It seems to use a foreign model, as the website is entirely in English. The pages look decent, fitting the functionality and design of a low-code platform.

![](https://pic.yupi.icu/1/1749016335224-df5392ac-256e-4ad5-9596-75414c47dfe0.png)

However, due to the lack of a backend and sample data, many page functionalities cannot be verified, and the overall effect is mediocre.

#### 2. Generating a PPT with Dozens of Slides

Now, let's tackle a more complex task: generating a PPT with at least 50 slides:

```
Generate a PPT that comprehensively introduces programmer Yupi, with at least 50 slides.
```

This time, the AI agent is clearly smarter. It first calls multiple web search tools simultaneously, gathering information from different sources, and then integrates it:

![](https://pic.yupi.icu/1/1749017575205-4c4feed4-a76f-44ff-8553-51a289648d3e.png)

AI is also clever when preparing image materials for the PPT. It not only searches for images online but also calls other AI drawing models to generate multiple images in parallel. Honestly, the effect of this small card really impressed me.

![](https://pic.yupi.icu/1/1749017650764-99af8845-aba5-4a08-a960-20a9abbb4e5d.png)

Interestingly, I found that AI isn't "rigid." During task execution, it may re-plan steps based on the situation; sometimes, it actively seeks user input, allowing us to guide AI better.

![](https://pic.yupi.icu/1/1749017795714-cce96312-6347-47a3-bb6d-ecba3b3a49cf.png)

However, task execution isn't always smooth. Sometimes, steps fail, but AI automatically retries:

![](https://pic.yupi.icu/1/1749017899834-a7d1e6f1-e56c-4ba8-9e5d-172ff9f2a1e2.png)

More seriously, tasks can get stuck. For example, I was stuck at the step using the browser tool, requiring manual re-execution. But thinking about it, it's quite reasonable—humans sometimes slack off or fall asleep at work, and someone needs to wake them up.

After more than an hour, AI finally generated an online PPT webpage, even deploying it to a server. We can directly view the browsing effect:

![](https://pic.yupi.icu/1/1749018233536-a331b205-43e4-43b4-aaf6-21239b408815.png)

Honestly, it looks quite good. Although it's not in the standard PPT format but HTML webpage code, it can be converted to PPT format using tools.

![](https://pic.yupi.icu/1/1749018314994-e00282d5-db98-41ff-b119-9f8dbdb7b27a.png)

#### 3. Generating Self-Media Content

Now, let's have AI generate a self-media article with images:

```
I am a self-media knowledge blogger. Please generate an article with images.
The theme is 【Introducing Programmer Yupi's Programming Navigation Learning Website】
```

I recommend checking AI's progress periodically. Sometimes, AI may actively seek your input, and if you don't respond, it may get stuck (though you can skip it).

![](https://pic.yupi.icu/1/1749018563491-dd75da94-48a0-4ef7-95c0-66085b7a99cb.png)

After about 30 minutes, AI completed the task, generating a website with images and text, and the effect is quite good.

![](https://pic.yupi.icu/1/1749018787641-1cff498b-d17e-4e20-b6ea-a0faa90a9b54.png)

It's undeniable that AI really loves generating websites. This reminds us that if we want AI to accurately complete complex tasks, we must describe the tasks clearly (e.g., generate Markdown-formatted content).

### Pros and Cons of Flowith

Flowith's advantages are obvious. First, its **infinite execution capability** allows it to run continuously for hours or even days, completing super complex tasks. Moreover, AI's planning and self-correction abilities are strong, enabling it to adjust plans based on the situation.

Additionally, its **parallel execution capability** allows it to call multiple AI models or tools simultaneously, greatly improving efficiency. It also supports cloud deployment, allowing generated websites to be accessed online directly.

Of course, there are some limitations. First, **execution efficiency is relatively low**. The same task that Cursor might complete in 10 minutes could take Flowith 1-2 hours. Moreover, cost consumption is somewhat uncontrollable, as long-term running consumes a lot of tokens.

Also, customization and modification capabilities are limited. If you want precise control over every step, Flowith may not be suitable. It's more suited for scenarios where "I don't care about the process, just the result."

In terms of pricing, Flowith has a free version and a paid version. The free version has usage limits, while the paid version charges based on usage.

## 3. Manus: The Universal AI Agent

[Manus](https://www.manus.im/) is another very popular AI Agent Platform that went viral upon its release.

Manus adopts a multi-model collaboration mechanism, with strong tool-calling capabilities, enabling it to generate and execute tasks across multiple domains. Moreover, Manus's autonomous planning ability is robust, capable of independent thinking and planning to ensure task execution.

![](https://pic.yupi.icu/1/image-20260112171640030.png)

For example, in a property purchase task, Manus can decompose it into sub-tasks like community safety analysis, budget calculation, and property screening, and reconstruct the thinking process through code agents to ensure transparency and traceability.

## 4. OpenManus: The Open-Source Version of Manus

[OpenManus](https://github.com/FoundationAgents/OpenManus) is the open-source version of Manus, reportedly replicated by a few Gen Zers in 3 hours.

![](https://pic.yupi.icu/1/image-20260112172154353.png)

Although its functionality isn't as comprehensive as Manus, it has basic agent capabilities. Moreover, it's completely open-source and free, allowing you to deploy and customize it yourself.

OpenManus is a modular open-source agent framework suitable for:

- Research prototype validation
- Agent orchestration experiments
- Automated workflows
- Integrating multi-modal/LLM capabilities into existing systems

If you enjoy tinkering and want to delve into the implementation principles of AI agents, OpenManus is a great choice.

💡 In the AI Super Agent project led by Yupi, we thoroughly explain OpenManus's source code and guide you from scratch to implement a super agent similar to OpenManus. Interested students can watch the [Step-by-Step Video Tutorial](https://www.codefather.cn/course/aiagent) to learn.

![](https://pic.yupi.icu/1/openmanus.png)

## 5. Practical Suggestions for AI Agent Platforms

If you want to try AI Agent Platforms, here are a few suggestions:

### 1. Describe Tasks Clearly

Although AI can autonomously plan, the clearer your task description, the better AI's execution. Don't just say "make a website"; specify:

- Website type (corporate site, blog, e-commerce, etc.)
- Core functionalities (list at least 3-5)
- Style requirements (minimalist, modern, cartoonish, etc.)
- Technical requirements (if any)

### 2. Be Patient

AI Agent Platforms take time to execute tasks, possibly hours. It's recommended to:

- Start tasks during less busy times
- Check progress periodically and respond to AI's queries promptly
- Manually re-execute if tasks get stuck

### 3. Control Costs

Long-term running consumes a lot of tokens, potentially leading to high costs. It's recommended to:

- Test with free credits first
- Define task scope clearly to avoid unnecessary work by AI
- If on a budget, consider using Cursor or other AI programming tools to complete tasks step-by-step

### 4. Combine with Other Tools (As Needed)

AI Agent Platforms are better suited for generating foundational content, which can then be refined with Cursor. For example:

- Use Flowith to generate the basic framework of a large website
- Export the code to Cursor
- Use Cursor for detailed optimization and functionality enhancement

This leverages Flowith's autonomous execution capabilities while utilizing Cursor's precise control.

## Final Thoughts

By now, you should have a comprehensive understanding of AI Agent Platforms.

I recommend not treating them as everyday development tools but as supplementary tools for special scenarios. If you need to generate large amounts of content without manual effort or quickly set up the framework for a large project, try Flowith or other AI Agent Platforms.

So far, we've explored various no-code development tools. From platforms that quickly generate projects to AI Agent Platforms that autonomously execute complex tasks, these tools allow you to create powerful applications without writing code.

But if you want to delve deeper into programming and have more precise control over your code, AI code editors are more suitable.

In the next article, I will explain how to use Cursor and other AI code editors in detail, taking you through a more professional and powerful Vibe Coding experience.

Keep it up!

## Recommended Resources

1) Yupi AI Navigation Website: [AI Resource Collection, Latest AI News, Free AI Tutorials](https://ai.codefather.cn)

2) Programming Navigation Learning Circle: [Learning Paths, Programming Tutorials, Practical Projects, Job Hunting Guide, Q&A](https://www.codefather.cn)

3) Programmer Interview Cheatsheet: [Internship/Campus Recruitment/Social Recruitment High-Frequency Points, Enterprise Exam Analysis](https://www.mianshiya.com)

4) Programmer Resume Creator: [Professional Templates, Rich Examples, Direct to Interviews](https://www.laoyujianli.com)

5) 1-on-1 Mock Interviews: [Essential for Internship/Campus Recruitment/Social Recruitment Interviews to Secure Offers](https://ai.mianshiya.com)