APUS open-sources Reflex Agent, a decision-model-driven personal agent
On October 13, APUS AI (Qilin Hesheng) announced that it had open-sourced its personal agent Reflex Agent under the MIT license, with desktop, Web and SDK access. The system uses APUS's own Reflex decision model—reported to be a 4.5B-parameter model fine-tuned from Qwen3.5—for model routing, skill selection, result review and execution supervision, and combines it with the Continuum memory engine's unlimited memory, lossless memory and lossless-input layers for long-horizon tasks. APUS AI Lab says response speed can reach up to 3x that of mainstream agents such as Claude Code and Codex in its test scenarios; APUS says "infinite context" means agent memory is no longer fully limited to a single model window, not that a single call's input limit has been exceeded.
It offers an MIT-licensed, reproducible example of moving scheduling decisions to a dedicated smaller model and using retrievable original text to support long-horizon tasks, though the speed figures are vendor self-measurements.
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2026-10-14 11:32:48 来源:量子位
10月13日,APUS AI(麒麟合盛网络技术股份有限公司)宣布开源Personal Agent产品Reflex Agent
10月13日,APUS AI(麒麟合盛网络技术股份有限公司)宣布开源Personal Agent产品Reflex Agent。该产品基于自研开源决策模型Reflex构建Harness,并结合Continuum记忆引擎,通过模型驱动Harness核心控制逻辑,实现更高效的决策与长周期任务执行。

据APUS AI实验室实测,Reflex Agent在相关测试场景中的响应速度最快可达Claude Code、Codex等主流Agent的3倍。
#APUS AI#APUS#Reflex Agent#Reflex#Continuum#Qwen3.5#Claude Code#Codex