The Chinese embedded / IoT / robotics / edge-AI ecosystem ships fast — in Mandarin, split across Gitee and GitHub. Minerva turns it into structured EN/FR fiches you can act on: what a project does, how mature it is, and its Western equivalent. Intelligence, not a repo directory.
01What one fiche looks like
Generated from the description and README, mapped to what you already know. This is the anti-directory proof.
02What you'd use it for
Find the Chinese counterpart to a Western framework
“Is there a Chinese ncnn/TVM?” — the Western-equivalent field maps each project to what you already know.
Watch a competitor's open-source footprint
Track what a vendor (Sophgo, Unitree, Bouffalo…) ships and how mature it is — before it lands in a product.
De-risk a chipset SDK before you design it in
Read the maturity, activity and real scope of a vendor's RTOS/BSP/SDK, not a marketing page.
Line up inference runtimes on Chinese silicon
ncnn vs MNN vs tpu-mlir vs nncase — targets, quantization and Western equivalents side by side.
03How it works
Official Gitee & GitHub APIs across 27 watched orgs; 14 currently yield fiches. Public metadata & READMEs only.
Multilingual semantic embeddings vs 4 domains, plus an anti-noise filter that keeps vendors and drops generic big-tech repos.
Claude Haiku 4.5 writes problem, how-it-works, Chinese specificity and Western equivalent — in EN & FR.
Incremental NEW / MODIFIED / REMOVED diff via persisted state — dated to each run, not a one-shot scrape.
04The corpus, honestly
Generic big-tech deliberately filtered down. Quality over quantity.
RTOS, BSP, drivers, bare-metal firmware.
NPU/TPU inference, quantization, OCR, vision.
ROS, SLAM, teleop, motor control, quadrupeds.
MQTT/CoAP stacks, cellular modules, device OSes.
05Sources & method you can trust
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