ByteDance debuts Coze Space internal beta for AI agent teamwork
ByteDance has initiated an internal beta for Coze Space, a productivity platform powered by AI that facilitates collaboration between users and AI agents in work environments.
On Friday, ByteDance, the parent company of TikTok, unveiled the internal beta of Coze Space, an AI-driven productivity platform designed to enhance collaboration between users and AI agents in the workplace.
Key Features of Coze Space
- Built on Doubao LLM: The platform leverages ByteDance’s self-developed Doubao large language model and supports the Model Context Protocol (MCP), enabling seamless integration with tools like Lark and Amap.
- Expert Agent System: Coze Space introduces an "Expert Agent" system capable of handling a range of tasks, from answering queries to completing work assignments.
- Multimodal Capabilities: The platform excels in instruction following, tool usage, and multimodal functionalities, making it ideal for scalable deployments.
Development Journey
ByteDance initially explored external models such as DeepSeek-R1 but encountered limitations in tool invocation. After evaluating six Chinese LLMs, the team opted for its in-house Doubao 1.5 Pro model, citing its superior performance in:
- Instruction adherence
- Tool utilization
- Low inference costs
For more details, refer to the original report on Cailian (in Chinese).
Why It Matters
This move underscores ByteDance’s commitment to advancing AI-powered productivity tools, positioning itself as a competitor in the rapidly evolving workspace collaboration sector. The platform’s focus on scalability and cost-efficiency could make it a game-changer for enterprises.
Related News
AWS extends Bedrock AgentCore Gateway to unify MCP servers for AI agents
AWS announces expanded Amazon Bedrock AgentCore Gateway support for MCP servers, enabling centralized management of AI agent tools across organizations.
CEOs Must Prioritize AI Investment Amid Rapid Change
Forward-thinking CEOs are focusing on AI investment, agile operations, and strategic growth to navigate disruption and lead competitively.
About the Author

Dr. Emily Wang
AI Product Strategy Expert
Former Google AI Product Manager with 10 years of experience in AI product development and strategy formulation. Led multiple successful AI products from 0 to 1 development process, now provides product strategy consulting for AI startups while writing AI product analysis articles for various tech media outlets.