APUS AI Open-Sources Reflex Agent With Model-Driven Control and Persistent Memory

What happened

APUS AI announced its MIT-licensed Personal Agent, Reflex Agent, on October 13, offering desktop, Web, and SDK access. Its Reflex decision model handles routing, skill selection, result review, and execution supervision, while Continuum retrieves historical information to support long-running tasks without exceeding individual model calls’ input limits. In material supplied by APUS AI and republished by QbitAI, the company reports responses up to 3 times as fast as Claude Code and Codex in tested scenarios; the agent is at https://github.com/APUS-AI-Lab/APUS-Reflex-Agent and the decision model at https://huggingface.co/apus-ailab/APUS-Reflex.

The story so far

APUS AI has released Reflex Agent, its personal AI agent, under the MIT license, with desktop, Web, and SDK access that lets developers try, reproduce, and extend it. The agent is available on GitHub, and its Reflex decision model is available on Hugging Face. The Reflex model handles task routing, skill selection, result review, and execution supervision. A memory system called Continuum retrieves historical information to support long-running tasks while staying within each model call’s input limit. In company-supplied material republished by QbitAI, APUS AI reported responses up to three times as fast as Claude Code and Codex in tested scenarios.

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