什么是“机器人秘书”？一种能够操控多个自主运行计算机的计算机代理程序。
Palo Alto, California • Oct, 2026
来自 Simular 的 Sai 是全球首款机器人秘书。它不仅是一个计算机操作智能体，还能自主指挥整个计算机集群。它像人类一样使用计算机——点击按钮、填写表格、阅读屏幕并在应用程序之间切换。Sai 接收指令，在你现有的软件中工作，并直接交付最终成果，而不是仅仅提供操作步骤。
该类别由两项独特的能力定义。与大多数 AI 智能体不同，机器人秘书直接与你现有的软件交互，而不是生成供人执行的文本指令。与机器人流程自动化（RPA）不同，它不需要预先录制的脚本或人工维护：它能感知屏幕、决定下一步操作，并在界面发生变化时自动恢复。
“秘书”的演变
“秘书”一词曾意为“机密保管人”。几百年来，它经历了心腹、内阁成员、打字员和助理等多种身份。在 AI 时代，我们正在赋予它全新的定义。
- 14 世纪至 15 世纪（机密保管人）：受国王、教皇和贵族信任，负责保守私人秘密的忠诚心腹。
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- Most reliable in every setting
On complex scientific workflows on ScienceBoard, pass^3 (success in all three repeated runs) improved by 13 percentage points over Claude Opus 5 and by 12.4 points over GPT-5.6 Terra, nearly doubling the base agent's reliability.
On computer desktop automation on OSWorld, pass^3 improved by nearly 16 percentage points over GPT-5.6 Terra. Under Claude Opus 5, whose base agent is already strong at 68.4%, we still see a measurable gain of 3.6 points (to 72.0%). - 3-5x faster
Removing continuous model re-prompting allows tasks to run at traditional software speed. On GPT-5.6-Terra, base agent latency is 4.6x/5.1x over our neuro-symbolic method, and using Opus 5, base agent latency is 3.9x/3.4x over ours.
“Most office work does not consist of one-off novel interactions; it involves recurring, multi-step procedures such as invoice processing in QuickBooks, CRM updates, and data reconciliation," said Ang Li, co-founder and CEO at Simular.
"Running continuous frontier models across every keystroke and mouse click is fundamentally unsustainable: it's too slow, burns thousands of dollars in unnecessary tokens, and introduces stochastic failures into deterministic business operations.”
"Model providers secretly want you to call expensive models for every step of a workflow, regardless of how repetitive it is. Sai frees you from this cost trap by learning repeatable procedures that reduce cost by up to 200x with more reliable success,” added Jiachen Yang, co-founder and CTO at Simular.
About Simular
Simular is a research-driven company building accessible intelligence to free humans from digital labor. Our flagship agent Sai automates workflows by controlling local and cloud computers. Agent S, our open-source agentic framework, was the first to achieve human-level performance on the OSWorld computer-use benchmark. Founded in 2023 by former Google DeepMind researchers, Simular is backed by investors including Felicis, NVentures (Nvidia), South Park Commons, Basic Set, and Lenny Rachitsky.
