Overview
PenguinHarness lets AI algorithm engineers generate near-production RAG apps from a short brief in minutes at tiny cost versus hand-building agents in LangChain. An open skill set encodes half a year of practice for data, eval, and harness self-iteration; local deploy supports a huge model catalog; on complex analytics it paired with DeepSeek for top accuracy at a small fraction of Claude Code plus Opus cost. [refs: 0.2 1 100 1000 3 3.8 70] [ccy: yuan]
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AI 算法工程师只需 0.2 元 + 一句话，Agent 就能在几分钟内生成接近生产可用的完整 RAG 应用。过去用 LangChain 手动开发 Agent，现在用 PenguinHarness，让 Agent 以 100 倍速度开发 Agent。 Agent 自进化引擎我们将半年实践沉淀为开源 Skills，帮助你搭建从数据、评估到 Harness 自迭代的完整进化 Loop，让 Agent 在垂直领域越用越强。开源版 Codex，支持 1000+ 模型可本地部署，已支持 Kimi K3、Qwen 3.8 Max Token Plan 等模型。在复杂数据分析任务中，PenguinHarness + DeepSeek 取得最高准确率，成本仅为 Claude Code + Opus 的 1/70。