Coze

Coze

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Coze is a next-generation AI large model agent development platform that integrates plugins, long-term memory, workflows, cards, and other capabilities. It enables users to build personalized or commercially valuable AI agents with low barriers and speed, and deploy them across platforms like Doubao and Feishu.

Dernière mise à jour: 2025/5/25

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Coze - Build AI Applications Without Coding

🚀 Coze is ByteDance's new generation all-in-one AI Bot development platform that helps users (regardless of programming experience) quickly create, debug, and optimize chatbots for deployment across different platforms. It supports no-code/low-code development, intelligent dialogue, multi-platform deployment, making AI application development simple and accessible.


🔍 Product Overview

Coze is an AI application development platform targeting enterprise users, developers, and general individuals. Through visual design and orchestration tools with zero-code/low-code capabilities, combined with AI-driven features, it simplifies the process of building AI projects based on large models. This significantly improves creation efficiency, saves time and costs, and helps users achieve personalized needs and commercial value effortlessly.


✨ Core Features

  • No-code/Low-code Development: Users can set robot dialogue logic, appearance, and interaction methods through a simple visual workflow editor, quickly building bots by selecting appropriate templates. This lowers the programming threshold, enabling non-developers to participate in AI application creation.
  • Intelligent Dialogue: Built-in advanced natural language processing technology allows bots to understand and respond to various user queries, providing efficient and natural conversation experiences. It also supports bot interaction with users' own data, enabling accurate answers using knowledge base content.
  • Multi-platform Deployment: Supports deploying created bots to various social platforms, messaging apps, or websites such as Discord, WhatsApp, Twitter, Feishu, and WeChat Official Accounts, meeting different scenario application needs and expanding application reach.
  • Rich Plugin Ecosystem: Integrates over 60 types of plugins including news reading, travel, productivity, image understanding, and multi-modal models. It also supports creating custom plugins, allowing users to easily add new functionalities like enhanced NLP capabilities or image recognition to expand AI application capabilities.
  • Knowledge Base Management: Provides an easy-to-use knowledge base function for managing and storing data, supporting multiple content formats and upload methods including text, tables, and documents in local TXT, PDF, DOCX, Excel, and CSV formats. It also supports retrieving online web content via URLs and API JSON data. Bots can use knowledge base content to answer questions, enhancing accuracy and professionalism.
  • Workflow Design: Offers flexible, combinable nodes including large language models (LLMs), custom code, and decision logic. Whether or not users have programming experience, they can quickly build workflows through drag-and-drop to handle complex tasks with high stability requirements. For example, creating workflows to collect movie reviews or draft industry reports.
  • Long-term Memory: Provides database memory functions for AI interactions, enabling AI robots to continuously remember key parameters or content from conversations, such as users' dietary preferences or language preferences, thus offering more personalized and consistent services.
  • Scheduled Task Creation: Users can easily create complex scheduled tasks using natural language, allowing bots to perform tasks and send corresponding messages at specified times. For example, recommending personalized news at 9:00 AM daily or planning weekend travel plans every Friday.

🧠 Application Scenarios

  • 🧑‍💼 Enterprise Services:
    • Intelligent Customer Service: Rapidly build intelligent customer service systems to help enterprises quickly respond to customer inquiries, improving customer satisfaction and service efficiency.
    • Data Analysis: Build data analysis systems to process and analyze enterprise data, providing strong support for decision-making.
    • Employee Training: Create training assistants to support internal corporate training and onboarding.
  • 🎓 Education & Training:
    • Course Assistance: Teachers can create AI assistants related to courses, generating teaching materials and providing homework correction suggestions.
    • Language Learning: Develop language learning companions to help students practice speaking and correct grammar errors.
  • 📈 Social Media / Brand Promotion:
    • Content Creation: Use image-text creation assistant templates to quickly generate titles, images, and articles for social media posts.
    • Marketing Promotion: Create marketing campaign planning assistants to help brands enhance their influence.
  • 🛍️ E-commerce Sector:
    • Product Recommendations: Accurately recommend personalized products based on user profiles and product databases, improving sales conversion rates.
    • Customer Service: Deploy intelligent customer service to handle common after-sales issues.
  • 🎙️ Content Creation:
    • Podcast Production: Automatically generate scripts and synthesize voice to complete pre-production content planning and creation for podcasts.
    • Novel Writing: Assist creators in developing storylines and generating character settings.

🧾 User Testimonials (Optional)

"Using Coze to build an intelligent customer service system was simple. We quickly completed the basic setup through templates and plugins, and it could connect to our company's own knowledge base. The answers to customer questions were very accurate, greatly reducing the pressure on the customer service team."
—— Anonymous user, Enterprise Operations Manager


🚀 Getting Started

Currently, the official website for the domestic version of Coze is https://www.coze.cn/, and the international version is https://www.coze.com/. Access the website, register, and log in to start your AI application development journey.

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