DeepSeek Harness launches as open source rival to Claude Code, alongside V4-Pro on API with higher prices
DeepSeek is expanding beyond the model layer and deeper into the software developers use to put AI agents to work. The Chinese AI lab on Thursday launched the official version of DeepSeek-V4-Pro , an updated flagship model focused heavily on agentic workloads, alongside DeepSeek Harness v0.1 , a new open-source agent harness that gives developers an alternative to integrated coding-agent…
DeepSeek has expanded its offerings for AI agents, launching the official version of DeepSeek-V4-Pro and a new open-source agent harness called DeepSeek Harness v0.1. DeepSeek-V4-Pro is an updated flagship model tailored for agentic workloads, available across DeepSeek's web interface, mobile app, and API, with support for OpenAI Responses API and Codex integration.
The open-source agent harness, DeepSeek Harness, is now in developer preview under the MIT license and is available for download on GitHub. It is built on a modular premise, allowing developers to swap out various parts of the agent runtime as plugins. However, developers accessing V4 through DeepSeek's API will experience higher prices, as DeepSeek is abandoning its existing flat API pricing.
The combination of these releases signals a broader developer push from DeepSeek, moving from model intelligence and token prices to a layer that determines how models use tools, manipulate files, maintain sessions, and execute long-running agent workflows.
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Also reported by 6 other outlets
- Auto mode is now Claude Code's default: what the classifier approves, and how to switch back dev.to
- Launch of DeepSeek’s Harness marks its strategic pivot towards autonomous agentic AI scmp.com
- DeepSeek open sources an agent harness where everything is a plugin thenewstack.io
- DeepSeek Harness developer preview deepseek.com
- DeepSeek releases DeepSeek Harness under the MIT license in developer preview, touting a design where "every capability is a plugin" that can be swapped out (Carl Franzen/VentureBeat) venturebeat.com
- Anthropic details multiagent experiments showing Claude agents can wage a "turf war" over incompatible goals, fail to coordinate, collude on prices, and more (Rebecca Bellan/TechCrunch) techcrunch.com
