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Launch of DeepSeek’s Harness marks its strategic pivot towards autonomous agentic AI

With the launch of Harness, China’s DeepSeek continues to build the foundational digital scaffolding for autonomous AI agents

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A customer uses his phone in front of a board with the menu at AGI Bar in Beijing. Drinkers at the AI-themed bar in the city's tech district can even plug in to DeepSeek for free. Photo: AFP
Minxiao Changin Shenzhen
Chinese artificial intelligence company DeepSeek is venturing into a new battleground beyond large language models, launching a developer preview of its long-anticipated Harness – a software framework that helps developers turn AI models into autonomous agents.

The release on Thursday marks a strategic pivot as DeepSeek moves to build foundational digital scaffolding for AI agents – systems capable of using AI models to operate external software, run code, and complete complex jobs on their own.

Following earlier beta testing, taking part developers noted that DeepSeek Harness departed from conventional software tool kits by giving programmers greater control over how their AI agent thinks and acts. Each core element was delivered as a modular plug-in that developers can swap out or combine.

Tools like DeepSeek Harness are rapidly becoming an important layer in AI systems, shifting the global competition from model intelligence to one that focuses on how seamlessly an AI agent can connect to real-world software.

DeepSeek hired former Jane Street engineer Cui Tianyu in March to join its newly formed harness group, amid the surging popularity of powerful AI agents like US rival Anthropic’s Claude Code.
The launch of DeepSeek’s much anticipated Harness marks a strategic pivot as the company looks beyond large language models towards autonomous agentic AI. Photo: Shutterstock
The launch of DeepSeek’s much anticipated Harness marks a strategic pivot as the company looks beyond large language models towards autonomous agentic AI. Photo: Shutterstock

To cater to different enterprise and developer workloads, DeepSeek Harness provides four operational settings. These include a standard mode for general tasks, a code-focused mode that lets the AI write code to command multiple applications simultaneously, a creative mode that allows the system to experiment with custom tools, and a minimal mode for isolated testing.

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