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Coze Studio

An AI agent development platform with all-in-one visual tools, simplifying agent creation, debugging, and deployment like never before. Coze your way to AI Agent creation.

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01

At a glance.

A compact read before the deeper capability notes and official setup links.

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Claude CodeQwen Code
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Core features.

Feature cards focus on what the tool helps users do, not generated setup commands.

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Coze Studio is an all-in-one AI agent development tool.

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Providing the latest large models and tools, various development modes and frameworks, Coze Studio offers the most convenient AI agent development environment, from development to deployment.

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Provides all core technologies needed for AI agent development: prompt, RAG, plugin, workflow, enabling developers to focus on creating the core value of AI.

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It is a one-stop visual development tool for AI Agents that makes creating, debugging, and deploying AI Agents unprecedentedly simple.

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Coze Studio aims to lower the threshold for AI agent development and application, encouraging community co-construction and sharing for deeper exploration and practice in the AI field.

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Model service Manage the model list, integrate services such as OpenAI and Volcengine

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Build agent Build, publish, and manage agent . Support configuring workflows, knowledge bases, and other resources

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Build apps Create and publish apps . Build business logic through workflows

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Agent / Skill / MCP / Workflow fit.

This panel keeps technical format separate from the user-facing AI category.

Tool type AGENT-APP
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Works with Claude Code, Qwen Code
05

Official setup path.

Generated install snippets are intentionally not mirrored here because they drift. The page links to source-owned setup docs instead.

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Evidence and adoption notes.

These notes help a user decide whether to investigate the official project further.

Source repository last pushed at 2026-04-20T09:20:44Z.

Generated from source metadata; confirm operational details in the official project before adopting it.

Review the upstream license, maintenance activity, and issue history before using it in production.

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