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Agent OS is a new safety-first kernel for autonomous AI agents, inspired by POSIX primitives, that guarantees zero policy violations by treating LLMs as compute and enforcing rules at the kernel level.
AI 生成摘要
Agent OS 是一個創新的、以安全為優先的自主 AI 代理核心，其設計靈感來自 POSIX 原生機制，透過將大型語言模型視為計算資源並在核心層級執行規則，來保證 0% 的政策違規。
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A Safety-First Kernel for Autonomous AI Agents - POSIX-inspired primitives with 0% policy violation guarantee
0% Safety Violations | Deterministic Enforcement | POSIX-Inspired
Agent OS treats LLMs like raw compute and provides OS-level governance.
Current frameworks let the LLM "decide" whether to follow safety rules. Agent OS inverts this: the kernel decides, the LLM computes.
Or install specific components:
Agent OS is MCP-native. Run any MCP-compatible agent with kernel safety:
For horizontal scaling and serverless deployment:
Drop Agent OS into any repo with .agents/agents.md:
Production-ready monitoring for SOC teams:
Key metrics:
See CONTRIBUTING.md for guidelines.
MIT - See LICENSE
Built for engineers who don't trust their agents.
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A Safety-First Kernel for Autonomous AI Agents - POSIX-inspired primitives with 0% policy violation guarantee
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