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DeepSeek Harness v0.1 introduces a modular agent runtime where every capability—from models and tools to sandboxes—functions as an interchangeable Cordis plugin rather than hard-coded logic. This MIT-licensed architecture enables developers to assemble custom agent environments for internal tooling, observability, or regulated pilots without modifying core source code. While currently in developer preview, the framework offers significant value for enterprises seeking auditable, self-hosted solutions that decouple model selection from runtime infrastructure.

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DeepSeek AI Releases DeepSeek Harness in Developer Preview: An MIT-Licensed Agent Harness Where Everything is a Plugin

MarkTechPost17 august 20265 min de cititArticolul și perspectiva sunt în engleză.

DeepSeek Harness v0.1 is an MIT-licensed agent harness where every capability is a Cordis plugin. Four runtime modes, append-only session logs, and provider-agnostic model routing. The post DeepSeek AI Releases DeepSeek Harness in Developer Preview: An MIT-Licensed Agent Harness Where Everything is a Plugin appeared first on MarkTechPost.

DeepSeek released DeepSeek Harness v0.1 in developer preview and published the full source code under the MIT license. The project ships as dsh at deepseek-ai/deepseek-harness. A harness is the layer between a model and the environment it acts in — the tools, files, sandboxes, and control loop that let an agent keep working. DeepSeek frames it as Agent = Model + Harness. Most harnesses hard-code that layer: the agent loop, the tool registry, and the session store are fixed, and extension happens only at whatever hooks the authors…

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