agent-os
Active·★ 74·MIT·Updated 2026-03-03
Agent OS applies operating system concepts like kernels and policy enforcement to govern autonomous AI agents. It intercepts and validates agent actions before execution, ensuring deterministic safety and compliance rather than relying on probabilistic prompt-based instructions.
#AI Agent Governance#Policy Engine#Kernel Architecture#Safety Enforcement#LLM Integration#Virtual File System#Agent Communication#Python
01
Features
01Deterministic policy enforcement for agent actions via a kernel-based approach.
02POSIX-inspired primitives including signals for process control and a Virtual File System (VFS) for resource management.
03Automatic audit logging through a Flight Recorder, capturing every kernel action for observability.
04Comprehensive integrations with popular AI agent frameworks like LangChain, CrewAI, and OpenAI Assistants.
05Offers both a lightweight Stateless Kernel for core policy checking and a Full Kernel API for advanced functionalities.
02
Compatibility
Python
Runtime
Verified via docs
LangChain
Framework
Verified via docs
OpenAI Assistants
Framework
Verified via docs
VS Code
IDE Extension
Verified via docs
MCP Protocol
AI Assistant Integration
Verified via docs
Docker
Containerization
Verified via docs
03
Quick start
1
$ pip install agent-os-kernel
04
Use cases
↳Securing SQL agents with read-only policies to prevent destructive database operations.
↳Developing compliance bots for regulated industries such as healthcare (HIPAA) or finance.
↳Governing multi-agent coordination and establishing trust protocols in complex, distributed systems.
↳Enabling real-time attack detection and security monitoring for critical infrastructure and DeFi applications.
05
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