As of Oct 13, APUS AI open-sourced Reflex Agent on October 13, a personal agent whose harness is controlled by its open Reflex decision model, which handles model routing, skill selection, result review and execution supervision in a decide-execute-feedback loop, paired with a Continuum memory engine for long-running tasks.
GitHub @APUS-AI-Lab published this on Oct 13, 2026 (source: github.com).
APUS AI open-sourced Reflex Agent on October 13, a personal agent whose harness is controlled by its open Reflex decision model, which handles model routing, skill selection, result review and execution supervision in a decide-execute-feedback loop, paired with a Continuum memory engine for long-running tasks. APUS says its lab tests showed responses up to three times faster than Claude Code and Codex in some scenarios, and that its "infinite context" means agent memory is not bound to a single context window rather than a longer per-call input. It ships with desktop, web and SDK options.
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