Coze 3.0
A major version update of the Coze platform released in 2025, centered on cloud hosting. It supports one-click generation of mini programs, web applications and Android clients, and represents a substantial change in design approach.
Core Facts
Building complex tasks or enterprise-level agents still requires manual construction
Coze 3.0 involves local devices and cloud devices and can achieve local deployment.
Coze 3.0's auto-build feature can use natural language to drive the platform to automatically generate agents, workflows, or skills
Timeline (last 90 days)
Coze 3.0's one-sentence generation essentially lets a large model automatically infer the configuration of the three parts—persona and instructions, skills/plugins, and workflows—from a natural language description and assemble them into a runnable agent.
The results generated by automatic building may initially be insufficiently precise and require subsequent tuning, and the course also mentions teaching students to "make it more precise."
The tutorial classifies the iterated Coze 3.0 as software-type because it already has strong task-execution capabilities.
Coze 3.0's workflow orchestrator visually presents the ReAct process, allowing developers to clearly see each decision step of the agent.
In Coze 3.0, system prompts, user prompts, and tool-calling prompts together determine the behavioral boundaries of an agent.
Coze 3.0's knowledge base feature supports document upload, automatic segmentation, and vectorized storage.
Coze 3.0 encapsulates low-level details as visual plugins and tool calls, but developers still need to understand the tool-calling mechanism to locate errors and design timeout and retry strategies.
In Coze 3.0, knowledge graphs typically serve as a supplement to the knowledge base, used in scenarios requiring precise relational reasoning, such as enterprise organizational structure Q&A or product troubleshooting.
The core capabilities of Coze 3.0 correspond to enterprises' three major demands for AI talent: prompt engineering, retrieval-augmented generation (RAG), and hands-on agent development.
A Bilibili uploader's shared learning path breaks down and condenses Coze 3.0 capabilities into a three-month path from zero to employment.
11 more timeline events
All Facts (20)
Building complex tasks or enterprise-level agents still requires manual construction
65%VerifiedCoze 3.0 involves local devices and cloud devices and can achieve local deployment.
65%VerifiedCoze 3.0's auto-build feature can use natural language to drive the platform to automatically generate agents, workflows, or skills
65%VerifiedCoze 3.0 has introduced the concepts of local devices and cloud devices, with the goal of becoming an all-scenario AI office assistant
65%VerifiedCoze version 3.0 strengthened multi-agent orchestration capabilities and enterprise-level deployment support.
65%UnverifiedCoze 3.0 supports two building modes: automatic and manual.
60%UnverifiedCoze 3.0 provides local device and cloud device functionality.
60%UnverifiedCoze 3.0's one-sentence generation essentially lets a large model automatically infer the configuration of the three parts—persona and instructions, skills/plugins, and workflows—from a natural language description and assemble them into a runnable agent.
50%UnverifiedThe results generated by automatic building may initially be insufficiently precise and require subsequent tuning, and the course also mentions teaching students to "make it more precise."
50%UnverifiedThe tutorial classifies the iterated Coze 3.0 as software-type because it already has strong task-execution capabilities.
50%UnverifiedA Bilibili uploader's shared learning path breaks down and condenses Coze 3.0 capabilities into a three-month path from zero to employment.
50%UnverifiedIn Coze 3.0, system prompts, user prompts, and tool-calling prompts together determine the behavioral boundaries of an agent.
50%UnverifiedCoze 3.0 encapsulates low-level details as visual plugins and tool calls, but developers still need to understand the tool-calling mechanism to locate errors and design timeout and retry strategies.
50%UnverifiedCoze 3.0's knowledge base feature supports document upload, automatic segmentation, and vectorized storage.
50%UnverifiedIn Coze 3.0, knowledge graphs typically serve as a supplement to the knowledge base, used in scenarios requiring precise relational reasoning, such as enterprise organizational structure Q&A or product troubleshooting.
50%UnverifiedCoze 3.0's workflow orchestrator visually presents the ReAct process, allowing developers to clearly see each decision step of the agent.
50%UnverifiedThe core capabilities of Coze 3.0 correspond to enterprises' three major demands for AI talent: prompt engineering, retrieval-augmented generation (RAG), and hands-on agent development.
50%UnverifiedCoze 3.0 supports generating an agent, workflow, or skill from a single sentence.
50%UnverifiedCloud device mode runs tasks in a remote virtual environment, suitable for scenarios that require continuous operation, scheduled triggering, or multi-person collaboration
50%UnverifiedThe one-sentence generation results produced by automatic setup may not be perfect initially, as it is positioned to quickly address relatively simple and standardized requirements.
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