AirymaxAgentOS

AirymaxAgentOS is an operating layer for long-running AI agents. It provides a 200K+ token context window paired with a 10M-token memory system, so agents can stay coherent across complex, multi-step workflows without losing track of earlier state. The team benchmarks it at 99.1% accuracy on 1,000-hour tasks and claims 5× the efficiency of the industry baseline — with token consumption cut by roughly 80%, which directly reduces API costs at scale. It integrates natively with LangChain, Claude, OpenAI, OpenClaw, and openJiuwen, and more agent protocols are on the roadmap. Built for developers who need agents to run reliably over long timeframes without micromanaging context or burning through token budgets.

Developers use AirymaxAgentOS as a runtime for long-running AI agents, giving them large context, persistent memory, and lower token costs across multi-day tasks.