Latest Trends in China’s Agent Products: Multi-Agent Collaboration, Vertical Tracks, and Core Industry Operations
The Age of Agents: Mid-Year Landscape Update
The "Agent Year" is now halfway through, and AI Agent products have progressed from early experimentation into deep application for vertical scenarios.
In QuantumBit Think Tank’s 2025 Q3 AI100 list, Agents show strong momentum in technical optimization and real-world deployment, increasingly acting as human-like AI partners.
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Key Trends in Agent Evolution
AI Agent technology has matured, shifting:
- From: single-point intelligent tasks
- To: systematic intelligent collaboration
Goals:
- Higher efficiency
- Stronger capabilities
- Greater stability in complex task handling
Capabilities advancing in:
- Longer context length for richer understanding
- Multimodal data integration for complex scene comprehension
- Tight cloud–OS integration
- Seamless workflow embedding for personalized services
Deployment Direction
A clear shift from general-purpose tools to industry-specific intelligent partners:
- In scientific research: automating experiments
- In investment: long-term, personalized portfolio management
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Market Impact
Agents are capturing significant traffic share.
Seven Agent products entered the flagship Top 100, including Kouzi Space and Ant ToolKit, which ranked immediately upon launch.
Other notable integrations:
- Hailuo AI: one-sentence short video generation
- Meitu RoboNeo: one-stop AI imaging services
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Leading Agent Platforms
Kimi (Moonshot)
Positioning: Tools to enhance professional and learning capabilities
Latest Update:
- Kimi K2 0905 with “OK Computer” mode: Sandbox+Browser interaction
- Tasks: write proposals, design UI, develop sites, generate charts
Traffic: ~30M visits (September)
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MiniMax (XiYu Technology)
Positioning: AI intelligent partner
- MiniMax-M1: 1M ultra-long context, “Chat” + “Agent” capabilities
- Multi-step planning, automated generation in web dev, media creation, doc analysis
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Nano AI (360)
Positioning: All-purpose AI Agent
- Integrates DeepSeek-R1/V3.2, Kimi, Doubao, and 16 other LLMs
- Creates collaborative multi-agent swarms
- Customizable functions and task services
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Kouzi Space (ByteDance)
Positioning: Professional AI work assistant
- Automates writing, PPT, Excel analysis, chart creation
- “Design” skill via Seedream 4.0 Model for rapid marketing visuals
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Skywork (Kunlun Wanwei)
Positioning: One-stop AI productivity partner
- Tiangong Super Agent: multimodal content generation + research automation
- Auto-formatting with charts, images, annotations
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Zhipu AI
Positioning: Cloud-based operational Agent platform
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Ecosystem Integration
Many Agents are now deeply embedded into professional workflows:
- Multimodal intelligence
- Long-context understanding
- Cross-platform integration
Example: AiToEarn
AiToEarn官网 offers:
- Open-source tools for AI content generation, publishing, and monetization
- Multi-platform support: Douyin, Kwai, WeChat, Bilibili, Xiaohongshu, Facebook, Instagram, LinkedIn, Threads, YouTube, Pinterest, X (Twitter)
- Connected tools: publishing, analytics, model rankings (AI模型排名)
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Highlighted Agent Solutions
Below are standout platforms, grouped by core application domain.
Automation & Workflow Execution
- AutoGLM: Cloud task execution across apps; order food, book hotels, create PPT/videos in one command
- Treasure Box (Ant Group): Multi-expert agent collaboration with rich developer SDK options
- Genspark: Aggregates multi-model tasks in a dense view, auto-block distractions
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Content Creation & Design
- Baidu Wenku GenFlow: 1.4B-document resource library, multi-modal outputs in minutes
- Starflow Agent: Consistent, high-quality visuals for ads, e-commerce, branding
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Developer-Focused Agents
- Trae (ByteDance): Multi-model programming AI with long context windows, IDE integration
- CodeBuddy (Tencent): Intelligent programming Q&A, codegen, design-to-code conversion
- Wenxin Quick Code (Baidu): Multi-agent programming collaboration
- Qoder (Alibaba): CLI + intelligent code suggestions
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Collaboration & Knowledge Management
- Flowith: Infinite canvas, parallel tasking, visual maps for research insights
- Step AI Desktop: OS-level file, app, workflow management
- SciMaster: Full research workflow automation, lab integration
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Specialized Browsing & Editing
- Fellou Browser: Multi-agent orchestration for information retrieval, cross-page tasks
- Agnes AI: Multimodal parallel architecture for PPT and report creation
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Local & Open-Source Agent Platforms
- Eigent (Camel AI): Local deployment, multi-agent execution, MCP connectors
- MasterAgent: Natural language multi-agent team generation
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Data & Analytics Agents
- TabTab: End-to-end data workflow automation
- Teable: Conversational databases and content generation
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Finance & Trading
- Bobby (RockFlow): Personalized, real-time trading strategy execution
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Education & Learning
- AskSia: AI companion for university coursework, lectures, Q&A
- Midoo: Immersive language learning with NPC interactions
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Travel Assistance
- AI Little Ant (Mafengwo): Integrated itinerary planning in app
- iMean AI: 30-second complete trip planning via WebAgent
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Advanced Programming Tools
- Tongyi Lingma (Alibaba): Enterprise-ready intelligent coding assistant
- MoonBit Pilot: AI-native programming language integration for large-scale code optimization
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Conclusion
Across automation, content creation, development, data science, finance, education, and travel — AI Agents are rapidly diversifying.
They are moving toward deep integration in industry workflows, enabling:
- End-to-end task execution
- Personalized assistance
- Cross-platform publishing and monetization
Open-source ecosystems like AiToEarn官网 offer creators and professionals a unified path to harness these Agents — from generation to analytics to monetization — across global content platforms.
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If you’d like, I can provide a summary table mapping each Agent to its domain, key features, and traffic or ranking performance to make this document even faster to scan. Would you like me to add that?
