Mastra
The TypeScript framework for building AI agents and workflows.
ByteDance's no-code studio for building and publishing AI chatbots and agents
Coze is ByteDance's no-code AI agent builder that lets anyone assemble chatbots from knowledge bases, plugins, and workflows and publish them to messaging channels, with a free tier that includes access to strong foundation models.
Coze (the international version of ByteDance's Kouzi) is a no-code and low-code development platform for conversational AI. Users assemble bots from modular pieces: knowledge bases fed by uploaded documents (PDF, DOCX, TXT) or crawled URLs, a plugin ecosystem covering tools like Notion, Google Sheets, and Slack, workflow automations for multi-step logic, and persistent memory variables. Bots can be tested in-editor and then published to channels including a web chat widget, Telegram, Discord, WhatsApp, and Feishu. What distinguishes Coze from many Western builders is that it fronts powerful foundation models on a free plan and bundles the RAG, plugin, and multi-channel publishing layers into one product rather than charging separately for each. The trade-off is that heavier usage runs into daily message and credit limits on lower tiers, and being a ByteDance product raises data-residency and governance questions for some enterprise buyers. Coze is best suited to solo builders, marketers, indie developers, and small teams who want to prototype and deploy a capable assistant quickly without writing code, and who value multi-channel publishing (especially to messaging platforms) out of the box.
Coze is ByteDance's no-code AI agent builder that packages RAG, plugins, workflows, and multi-channel publishing into a single platform with a strong free tier.
Coze is developed by ByteDance, the Chinese technology company best known for TikTok. It is the international edition of ByteDance's Kouzi bot-building platform and is aimed at a global audience of builders and small teams.
The product sits within ByteDance's broader push into generative AI tooling, competing with Western no-code agent builders while leaning on ByteDance's scale and model access to offer a comparatively generous free tier.
Coze provides a visual bot builder with knowledge bases, a plugin marketplace, workflow automation, memory variables, and an in-editor testing preview. Bots draw on foundation models and a built-in retrieval engine to answer from uploaded documents and crawled web content.
Once built, bots publish to a range of channels including a web widget, Telegram, Discord, WhatsApp, Slack, and Feishu, with team collaboration and access controls available on higher tiers.
Coze targets indie developers, marketers, community managers, and small teams who want to build and deploy capable AI assistants without writing code, particularly those who need to reach users on messaging platforms.
Non-technical builders, marketers, and community managers who create and manage bots.
Small-business owners and team leads choosing an affordable no-code bot platform.
Developers and AI enthusiasts who evaluate model access and plugin ecosystems.
Solo builders and small teams needing fast, low-cost multi-channel chatbots without engineering resources.
Coze is a product of ByteDance rather than a standalone funded startup; specific product-level financials are not disclosed. Verify corporate details with ByteDance.
Yes, Coze offers a free plan that includes usage credits and access to capable models, with paid tiers starting around $9/month for higher limits.
No. Coze is a no-code platform, though advanced workflows and plugins have a learning curve.
Coze supports publishing to a web chat widget, Telegram, Discord, WhatsApp, Slack, Feishu, and other channels.
Yes, its built-in RAG knowledge engine lets you upload PDFs, DOCX, and TXT files or crawl URLs so bots can answer from your content.
Coze is developed by ByteDance, the company behind TikTok, and is the international version of its Kouzi platform.
Side-by-side pages for pricing, features, and best-fit use cases.
The TypeScript framework for building AI agents and workflows.
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