DeepSeek AI's open-source agent harness (CLI dsh, MIT, 233k+ stars). The kernel provides only plugin-system semantics; tools, surfaces and model access all attach as plugins, on top of Cordis' paradigm for spatiotemporal composability (arXiv:2608.25512). It is in developer preview with an explicit warning about compatibility-breaking changes, and SAFETY.md is required reading before you run it. Not benchmarked yet, so this entry is graded as needing reproduction.
DeepSeek's open-sourced production inference engine: offline serving for DeepSeek-V4.1-Flash on NVIDIA SM100 and Ascend 950, with a C++ zero-overhead scheduler, attention DP/CP plus MoE EP with EPLB, DSpark confidence-scheduled speculative decoding, SWA bounded replay, batch-invariant and deterministic modes, and structured outputs under Apache-2.0.
Open-sourced internal component of DeepSeek Harness (npm @deepseek-ai/libreoffice-kit + dsoffice CLI): Office-to-PDF export (OOXML + 97-2003 binary), spreadsheet recalculation, and page-by-page PNG rendering of Office/PDF inputs. Font-friendly = font discovery / preserve requested families / configurable fallbacks (Carlito for Calibri, Caladea for Cambria) / missingFonts reporting and budgets. Prebuilt engines for macOS ARM64/x64, Windows ARM64/x64 and Linux WASM bundle offline, with downloads slimmed 37-39%; no dependence on a user LibreOffice install.
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