In the first half of 2026, AI Agents have evolved from a technical buzzword into a genuine productivity tool. From ByteDance’s Coze (Coze) 3.0 launch to Manus consistently dominating Product Hunt, and Genspark becoming a $155 million ARR unicorn — consumers have finally entered an era where AI does more than just “chat”; it truly works.
But the problem is: at least seven or eight major platforms have emerged on the market, each claiming to be “all-in-one” and each with its own strengths. Ordinary users are often left confused by these choices: Which one should I actually use?
The goal of this guide is to help you find the answer. We’ve tested seven leading AI Agent platforms across four dimensions — functionality, pricing, collaboration, and hands-on performance — and included complete beginner tutorials for both Coze and Manus. Whether you’re an individual creator, developer, small team, or enterprise user, you’ll be able to make an informed decision after reading this article.
💡 If you’re a developer looking to build your own Agent from scratch, check out our AI Agent Development Framework Comparison Guide; if you’re interested in AI search engines, read our newly released AI Search Engines Comparison Guide.
Quick Conclusion: Choose the Right Platform in 30 Seconds
No time to read the full article? Jump directly based on your scenario:
- All-in-One Individual Use → Coze: Generous free quota, strongest Chinese ecosystem, Coze 3.0 adds multi-user collaboration and local Agent deployment — covers virtually every scenario.
- Complex Task Autonomous Execution → Manus: Excels at multi-step complex tasks, capable of autonomously completing research, coding, and data analysis — but requires Credits.
- Efficiency Tool → Genspark: All-in-one workspace with multi-model aggregation, ideal for rapid content, briefing, and web page generation.
- Visual Workflow → Flowith: Drag-and-drop orchestration, perfect for DIY workflow enthusiasts — learning curve is slightly steep.
- Office Ecosystem → Bing Copilot: Deeply integrated with Microsoft 365 — the go-to choice for Office users.
- Lightweight Experience → Poe / ChatGPT GPTs: Low-barrier multi-model aggregation / richest plugin ecosystem — ideal for trying things out.
What Is an AI Agent Platform?
Difference from Traditional Chatbots
Traditional AI chat (e.g., early ChatGPT) is essentially a question-and-answer system: you ask a question, it gives you an answer. Once the conversation ends, the task is over.
The core capability of an AI Agent platform is autonomous execution: you give a goal (e.g., “Research the new energy vehicle market and generate a report”), and the Agent will autonomously decompose the task, invoke tools (web search, code execution, chart generation), iterate through multiple steps, and deliver a complete result.
Key differences:
- Multi-step orchestration: Not a single round of dialogue, but a task chain.
- Tool invocation: Agents can operate external APIs, browsers, and code environments.
- Persistent memory: Cross-session memory of project context.
- Collaboration capability: Multiple Agents can divide and collaborate on tasks.
Why Are AI Agents So Popular in 2026?
Google Trends data shows that global search interest in “AI Agent” surged from 56 to a peak of 100 between Q1 and Q2 of 2026, remaining high throughout May and June (average value 64). Several key drivers fuel this trend:
- Model Capability Improvement: New-generation models like GPT-5 series and Claude 4 have significantly enhanced reasoning and planning capabilities, making autonomous Agent execution possible.
- ByteDance Coze 3.0 Catalyst: Coze 3.0, launched in June 2026, introduced multi-user/multi-Agent collaboration, programming/video specialized projects, cloud + local dual Agent deployment, and industry skill packs — transforming AI Agents from geek toys into productivity platforms.
- Manus’ Demonstration Effect: Manus showcased the complete experience of “give an instruction, AI does all the work,” redefining the ceiling of consumer-grade AI.
- Exploding Enterprise Demand: From customer service to data analysis, from content creation to code generation, enterprises are discovering that Agents can significantly reduce labor costs.
Core Comparison Table of 7 Platforms
| Dimension | Coze | Manus | Genspark | Flowith | ChatGPT GPTs | Bing Copilot | Poe |
|---|---|---|---|---|---|---|---|
| Core Positioning | Full-scenario AI Workspace | Complex Task Autonomous Execution | All-in-One AI Workspace | Visual Workflow Orchestration | Multi-Model Agent Ecosystem | Office Ecosystem AI Assistant | Multi-Model Aggregation Platform |
| Multi-Model Support | ✅ Supports GPT/Claude/Doubao, etc. | ✅ Proprietary model | ✅ GPT-5.5 + multiple models | ✅ Multi-model | ⚠️ OpenAI-centric | ⚠️ GPT-4o + Copilot | ✅ Aggregates 10+ models |
| Collaboration Capability | ✅ Multi-user, multi-Agent | ⚠️ Single-user | ⚠️ Basic sharing | ⚠️ Single-user | ⚠️ Basic | ✅ Teams collaboration | ❌ |
| Programming Capability | ✅ Code interpreter + plugins | ✅ Native coding | ⚠️ Basic | ✅ Orchestration | ✅ Advanced data | ✅ Copilot coding | ⚠️ Basic |
| Video/Image Generation | ✅ Specialized project support | ⚠️ Callable | ✅ Built-in | ⚠️ Requires integration | ✅ DALL-E integration | ✅ Designer integration | ❌ |
| Local Agent | ✅ Supported in 3.0 | ❌ | ❌ | ❌ | ❌ | ❌ | ❌ |
| Cross-Platform Support | Web / Mobile | Web | Web / Mobile | Web | Web / Mobile | Web / Desktop | Web / Mobile |
| Chinese Experience | ⭐⭐⭐⭐⭐ | ⭐⭐⭐ | ⭐⭐⭐⭐ | ⭐⭐⭐ | ⭐⭐⭐⭐ | ⭐⭐⭐⭐ | ⭐⭐⭐ |
| Free Quota | Generous | 1000 credits | Limited | Limited | Basic free | Limited free | Limited free |
| Recommendation Index | ⭐⭐⭐⭐⭐ | ⭐⭐⭐⭐ | ⭐⭐⭐⭐ | ⭐⭐⭐ | ⭐⭐⭐⭐ | ⭐⭐⭐⭐ | ⭐⭐⭐ |
In-Depth Platform Analysis
1. Coze — The Most Comprehensive AI Workspace
Official Website: coze.cn Developer: ByteDance Core Strength: Chinese ecosystem, generous free quota, Coze 3.0 collaboration
Coze is currently the most mature AI Agent platform in China — no contest. The 3.0 version, launched in June 2026, brought several key upgrades:
- Multi-user, Multi-Agent Collaboration: A project space can host multiple Agents, each focused on different roles (e.g., one for research, one for copywriting, one for formatting), which can call and pass data to each other.
- Programming/Video Specialized Projects: Built-in code interpreter and video generation pipeline allow developers to run Python, debug code, and even generate video content directly within Coze.
- Cloud + Local Dual Agent Deployment: This killer feature of Coze 3.0 lets users deploy Agents on local machines for lower latency and higher data security, while cloud Agents continue handling large-scale tasks.
- Industry Skill Store: Similar to an App Store concept, users can download pre-configured Agent skill packs for specific industries (e-commerce, education, healthcare, law, etc.) and use them out-of-the-box.
Target Audience: Virtually all user types — individual creators, small teams, and enterprises alike. The top choice for Chinese-language users.
Drawbacks: Enterprise pricing needs consultation and isn’t transparent; some advanced features (like local deployment) have a learning curve for beginners.### 2. Manus — The Benchmark for Complex Task Autonomous Execution
Official Website: manus.im Developer: Monica Team Core Strength: Autonomous task decomposition and execution, PEV architecture
Manus is one of the most prominent AI Agent products of 2025–2026. Its core philosophy is simple: users only need to describe a goal, and everything else is handled autonomously by the Agent.
Manus’ PEV three-layer architecture (Plan-Execute-Verify) is its key competitive advantage:
- Plan (Planning): Upon receiving a task, the Agent first decomposes it into an executable list of sub-tasks.
- Execute (Execution): Executes each sub-task sequentially or in parallel, autonomously invoking tools like search, coding, and file operations during the process.
- Verify (Verification): After execution, checks output quality and automatically corrects if necessary.
Real-world Experience: We tested a task — “Research Q2 2026 global AI funding data, generate charts, and output a Markdown report.” Manus autonomously completed web searching, data aggregation, chart generation, and document authoring — taking approximately 15–20 minutes with highly satisfactory results.
Target Audience: Users needing complex multi-step tasks — researchers, analysts, and developers requiring automation.
Drawbacks: Requires Credits to use (new users typically receive an invitation quota of 1000 credits); pay-per-use pricing can become costly for high-frequency users; Chinese-language support isn’t as strong as Coze’s.
3. Genspark — All-in-One AI Workspace
Official Website: genspark.ai Developer: MainFunc (Silicon Valley) Core Strength: Multi-model aggregation, fast content generation
Genspark has become a unicorn with $155 million ARR in 2026. Its positioning is an “all-in-one AI workspace,” integrating capabilities for content generation, web development, design, and data analysis.
Core highlights:
- Multi-model invocation: Built-in models like GPT-5.5 allow users to automatically switch between the most suitable model for different tasks.
- Spark Generators: One-click generation of briefings, websites, design mockups, and marketing copy — rich in templates.
- Team Collaboration: Supports shared workspaces for small teams.
Target Audience: Content creators, marketers, and small teams needing rapid output.
Drawbacks: Less deep customization than Coze; less capable at autonomous execution of complex tasks than Manus.
4. Flowith — Visual Workflow Orchestration
Official Website: flowith.io Core Strength: Drag-and-drop visualization, highly customizable
Flowith takes a different path: it doesn’t predefine Agent capabilities but provides a visual canvas for users to orchestrate workflows themselves. Each node can be search, API call, text generation, conditional logic, etc., connected via links to form complete automated processes.
Target Audience: DIY-oriented tech enthusiasts and teams needing customized automation.
Drawbacks: Steep learning curve requiring technical foundation; smaller ecosystem with limited third-party integrations.
5. ChatGPT GPTs — Richest Plugin Ecosystem
Official Website: chatgpt.com Core Strength: OpenAI ecosystem, vast plugin library
Strictly speaking, ChatGPT’s GPTs feature isn’t entirely equivalent to an independent Agent platform, but it does deliver agent-level experiences. Users can install various GPTs from the GPT Store — each functions as a customized Agent with specific knowledge bases, tools, and interaction styles.
Target Audience: Individual users already on ChatGPT Plus/Pro who need domain-specific assistants.
Drawbacks: Weak collaboration capabilities; limited to the OpenAI ecosystem; limited autonomous execution capability.
6. Bing Copilot — Deep Office Integration
Official Website: copilot.microsoft.com Core Strength: Microsoft 365 integration
If your daily work heavily relies on Word, Excel, PowerPoint, and Outlook, Bing Copilot is almost mandatory. It can:
- Help draft documents in Word
- Analyze data and generate charts in Excel
- Generate slides from outlines in PowerPoint
- Summarize meetings in Teams
Target Audience: Microsoft 365 subscribers and enterprise office scenarios.
Drawbacks: Limited standalone capability; advantages diminish outside the Office ecosystem.
7. Poe — Low-Barrier Multi-Model Aggregation
Official Website: poe.com Core Strength: Experience 10+ leading models with one account
Poe positions itself as a “model aggregator”: one platform to invoke GPT-4, Claude 3, Gemini, Llama, and over a dozen other leading models. Extremely convenient for users wanting to experience different models or compare outputs.
Target Audience: Users wanting to try multiple models on a budget.
Drawbacks: Fundamentally a chat platform; agent-level autonomous execution capability is weak.
Comprehensive Pricing Comparison (July 2026)
| Platform | Free Tier | Paid Plans | Approx. Price | Value |
|---|---|---|---|---|
| Coze | Free, generous quota | Enterprise | Contact sales | ⭐⭐⭐⭐⭐ |
| Manus | 1000 credits (invite-only) | Pay-per-use | $20–50/month | ⭐⭐⭐⭐ |
| Genspark | Limited free | Plus / Pro | $15–30/month | ⭐⭐⭐⭐ |
| Flowith | Limited free | Pro | $10–20/month | ⭐⭐⭐ |
| ChatGPT | Basic free | Plus / Pro | $20 / $200/month | ⭐⭐⭐ |
| Bing Copilot | Limited free | M365 subscription | Included in M365 | ⭐⭐⭐⭐ |
| Poe | Limited free | Subscription | $20/month | ⭐⭐⭐ |
How to Choose Between Free and Paid?
- Try Free First: All platforms offer free quotas — test your core use case with the free tier before deciding on paid plans.
- Coze for High Frequency: If you’re a frequent user primarily working in Chinese, Coze’s free tier is largely sufficient — offering the best value.
- Manus for On-Demand Use: Manus’ pay-per-use model suits occasional users with complex task needs — costs rise quickly for heavy usage.
- Teams Choose Genspark or Copilot: For team collaboration, Genspark’s team features and Copilot’s Office integration are solid investments.
Complete Beginner Tutorial for Coze
Registration and Project Space Creation
- Visit coze.cn and register/login using your phone number or ByteDance account.
- After entering the dashboard, click “Create Project Space” and select a template (General, Programming, Video Creation, etc.).
- Name your project, choose the default model (recommended: Doubao 2.0 or GPT-4o), then click Create.
Invoking Agents to Complete Tasks
Within a project space, you can directly call Agents via the chat interface:
User: Research 2026 new energy vehicle sales trends and generate a report.
Agent: Task received. Decomposing into the following steps:
1. Search latest sales data
2. Organize key data points
3. Generate charts
4. Write analytical report
Executing...The Agent will automatically invoke search tools to retrieve data, generate charts (line/bar charts), and finally output a formatted Markdown report.
Hands-on Multi-User, Multi-Agent Collaboration
Coze 3.0’s flagship new feature. Example: “Create a market analysis report PPT.”
- In the project space, create three Agents:
- Researcher Agent: Responsible for searching and organizing data
- Copywriter Agent: Responsible for writing report content
- Designer Agent: Responsible for PPT formatting and beautification
- Set up call relationships between Agents: Researcher → Copywriter → Designer
- Input the initial instruction — the three Agents automatically relay and complete the task.
This collaborative model greatly improves the quality of complex task completion, as each Agent focuses on its area of expertise.
Skill Store and Industry Skill Packs
In Coze’s “Skill Store,” you’ll find pre-configured skill packs for various industries:
- E-commerce: Product description generation, customer service script optimization, competitor analysis
- Education: Lesson plan creation, homework grading, personalized learning plans
- Legal: Contract review, legal clause interpretation, case retrieval
- Healthcare: Health consultation, report interpretation, medication advice
After one-click installation, your Agent gains professional knowledge and toolchains for that industry, dramatically improving output quality.## Manus AI Quick Start
Registration and Obtaining Credits
- Visit manus.im and register an account.
- New users typically receive an initial quota of 1000 credits via invitation.
- Credit consumption rules: Simple tasks (search + summary) cost about 5–10 credits; complex tasks (coding + data + reports) cost about 50–200 credits.
Sending Complex Task Commands
Manus’ interaction is extremely simple: just input your goal in the dialog box.
User: Analyze the Star growth trends of Python projects on GitHub,
find the Top 10 fastest-growing projects this week, and generate a Markdown table.Manus will automatically execute:
- Call the GitHub API to retrieve data
- Filter and sort
- Generate a table and brief analysis
Understanding the PEV Three-Layer Architecture
When executing complex tasks, you can click “View Execution Process” to see Manus’ PEV three-layer workflow:
- Plan Phase: You’ll see the task decomposed into 3–5 sub-steps
- Execute Phase: Execution status of each step (in progress / completed)
- Verify Phase: Quality assessment of output results
This transparency is one of Manus’ major advantages — you always know what the Agent is doing.
Suitable Scenarios and Limitations
Good for: Data research, coding assistance, document generation, web scraping analysis. Not suited for: Creative work requiring real-time interaction, tasks highly dependent on Chinese cultural context.
Genspark Quick Overview
Genspark’s experience is exceptionally smooth. After logging in, the workspace homepage displays multiple “Sparks” — each corresponding to a generation capability:
- Spark Pages: Generate complete web pages
- Spark Reports: Generate research reports
- Spark Design: Generate design mockups
- Spark Code: Generate and run code
In testing, we issued the command “Generate a 2026 AI industry briefing.” Genspark produced a well-structured, beautifully illustrated report in approximately 3 minutes — quality was impressive. Its auto-switching multi-model mechanism maintains high standards across different task types.
Scenario-Based Selection Guide
| Your Scenario | Recommended Platform | Core Reason |
|---|---|---|
| Personal daily use (Chinese-primary) | Coze | Free, best Chinese, richest ecosystem |
| Complex research / data analysis | Manus | Strong autonomous execution, reliable PEV architecture |
| Content creation / marketing | Genspark | All-in-one generation, rich templates |
| Automated workflows | Flowith | Visual orchestration, highly customizable |
| Microsoft 365 office | Bing Copilot | Deep integration, seamless workflow |
| Trying new things / multi-model comparison | Poe | One account, 10+ models |
| ChatGPT ecosystem users | GPTs | Rich plugins, seamless upgrade |
| Small team collaboration | Coze / Genspark | Multi-user collaboration + project management |
| Enterprise-level deployment | Coze (local deployment) | Data security + industry skill packs |
| Developers | Coze + Self-built Agent | See our Development Framework Comparison |
FAQ
What’s the Difference Between AI Agent Platforms and AI Search Engines?
AI search engines (e.g., Perplexity, Metaso AI Search) are primarily for information retrieval — you ask a question and they search and compile answers. AI Agent platforms are for task execution — you set a goal and they autonomously complete multi-step work. Simply put: search is “finding information,” while Agents are “doing the work.” If you need to quickly find information, an AI search engine may be more suitable; if you need to complete a complex task (research + analysis + report), an AI Agent platform is the better choice. For a comparison of AI search engines, see our AI Search Engines Comparison Guide.
Which One Should Enterprise Users Choose?
If data security and compliance are priorities, Coze’s local Agent deployment is the optimal choice — data can stay within your domain. If already using Microsoft 365, Bing Copilot is the most natural upgrade. If you need customizable Agent orchestration, consider building a custom solution based on the OpenAI Agents SDK.
Is the Free Version Enough?
For individual light users, Coze’s free tier is more than sufficient — it offers the most generous free quota. Manus and Genspark’s free tiers are good for experiencing core product features, but high-frequency usage requires payment. We recommend validating your use case with the free tier first before committing to a paid plan.
How to Choose Between Desktop Agents and Web Agent Platforms?
If you need Agents to directly manipulate local files and applications, a desktop Agent (e.g., OpenCoworker) may be more suitable; if you need cloud-based collaboration and cross-device access, web Agent platforms (like those introduced in this article) are the better choice.
Summary
In 2026, AI Agent platforms are no longer conceptual products — they’re real, tangible productivity tools. Our core recommendations:
- Chinese users should start with Coze — generous free quota, with 3.0’s collaboration and local deployment capabilities as the biggest highlights.
- For complex tasks, use Manus — its PEV architecture stands out in autonomous execution.
- Don’t limit yourself to a single platform — different platforms have different strengths; flexibly switching based on specific tasks is the optimal strategy.
- Validate your use case with free tiers first — all platforms offer free quotas; test your core needs before paying.
The development speed of AI Agents is extraordinary — today’s best choice may be surpassed tomorrow. Stay informed, keep testing, and find the one that works best for you.
📖 Further Reading:
- AI Agent Development Framework Comparison 2026 — Developer perspective
- Goose AI Agent Complete Guide — Local Agent practices
- OpenAI Agents SDK 2026 Complete Guide — Build your own Agent
- OpenCoworker Desktop Agent Guide — Desktop automation
- AI Search Engines Comparison Guide 2026 — Search vs Agent
