Coze is an AI bot development platform that is oriented towards building the future generation of AI chat bots. It provides an intuitive and user-friendly environment for creating different types of chat bots, allowing even non-programmers to rapidly develop and deploy bots on various social platforms and messaging applications.
Expert Video Review by SEOGANT · March 2026
Coze is an AI agent and chatbot development platform created by ByteDance, the parent company of TikTok, offering one of the most accessible and feature-rich environments for building AI-powered conversational applications without writing code.
Launched internationally in late 2023 and rapidly expanding its user base through a generous free tier and intuitive interface, Coze enables individuals, businesses, and developers to create sophisticated AI chatbots and agents that can be deployed to the major messaging platforms their audiences already useincluding Discord, Telegram, LINE, Slack, Reddit, and otherswithout platform-specific development expertise.
The platform's no-code philosophy democratizes access to AI agent development for users who are not software engineers.
Coze's plugin library is one of the platform's most powerful capability multipliers.
With over 60 pre-built plugins covering categories including news aggregation, travel information, productivity tools, computer vision, web search, and data retrieval, creators can extend their agents' capabilities far beyond conversational responses into genuine real-world action.
Rather than building custom integrations from scratch, creators select the relevant plugins from the library, configure them for their agent's context, and immediately unlock the corresponding functionality.
This plugin ecosystem approach means that Coze agents can answer questions with live information, retrieve current data, process images, and interact with external services without any API integration work on the creator's part.
The knowledge base system enables creators to build agents grounded in specific, accurate information relevant to their use case.
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