DeepSeek Harness Plugin: dsh-llm-kimi

The `dsh-llm-kimi` plugin for DeepSeek Harness (DSH) provides a compatibility layer for Kimi models on the platform. It supports Kimi Code subscriptions and the Moonshot Open Platform API, covers domestic and overseas regions, and supports multimodal capabilities, tool calling, thinking mode, and hot updates. Users can configure API keys via the command line or a web interface. The plugin provides multi-routing support and strictly aligns with the official protocol for handling streaming responses and tool calls.

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Kimi K3 Open-Sourced Weights Deployed, Competition Among Chinese Open-Source Large Models Heats Up Again

On July 27, 2026, Mooncake AI officially released the full model weights of Kimi K3. As the world's first 2.8T-parameter open-source MoE model, it supports 1 million-token context window and native multimodality. The single post on Hacker News gained over 600 upvotes, sparking heated discussions in the community regarding its performance comparison with Claude Fable 5 and the distillation controversy. This article sorts out the architecture specifications, benchmark positioning, the background of Alibaba's 36% shareholding, as well as developer guides for API and local deployment of Kimi K3.

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