ai-agent-governance 1.0.0

The complete AI agent governance stack - kernel, trust mesh, runtime supervisor, and reliability engineering

Agent Governance

The safety, trust, and reliability platform for production AI agents

One install for the complete governance stack — kernel · trust mesh · runtime supervisor · reliability engineering

pip install agent-governance[full]

Architecture • Quick Start • Components • Why Unified? • Ecosystem

⭐ If this project helps you, please star it! It helps others discover the agent governance stack.

🔗 Part of the Agent Governance Ecosystem — Installs Agent OS · AgentMesh · Agent Hypervisor · Agent SRE

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Architecture

┌─────────────────────────────────────────────────────────────────┐
│                      agent-governance                           │
│                  pip install agent-governance[full]              │
├─────────────────────────────────────────────────────────────────┤
│                                                                 │
│   ┌───────────────────┐      ┌───────────────────────────┐     │
│   │   Agent OS Kernel │◄────►│   AgentMesh Platform      │     │
│   │                   │      │                           │     │
│   │  Policy Engine    │      │  Zero-Trust Identity      │     │
│   │  Capability Model │      │  Mutual TLS for Agents    │     │
│   │  Audit Logging    │      │  Encrypted Channels       │     │
│   │  Syscall Layer    │      │  Trust Scoring             │     │
│   └────────┬──────────┘      └─────────────┬─────────────┘     │
│            │                               │                   │
│            ▼                               ▼                   │
│   ┌───────────────────┐      ┌───────────────────────────┐     │
│   │ Agent Hypervisor  │      │   Agent SRE               │     │
│   │                   │      │                           │     │
│   │  Execution Rings  │      │  Health Monitoring        │     │
│   │  Resource Limits  │      │  SLO Enforcement          │     │
│   │  Runtime Sandboxing│     │  Incident Response        │     │
│   │  Kill Switch      │      │  Chaos Engineering        │     │
│   └───────────────────┘      └───────────────────────────┘     │
│                                                                 │
└─────────────────────────────────────────────────────────────────┘

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Quick Start

from agent_os import StatelessKernel, ExecutionContext
from agentmesh import TrustManager

# Boot the governance kernel
kernel = StatelessKernel()
ctx = ExecutionContext(agent_id="my-agent", capabilities=["read", "write"])

# Establish zero-trust agent identity
trust = TrustManager()
trust.register_agent(ctx)

Install only what you need:

# Core: kernel + trust mesh
pip install agent-governance

# Full stack: adds hypervisor + SRE
pip install agent-governance[full]

# À la carte
pip install agent-governance[hypervisor]
pip install agent-governance[sre]

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Components

Component	Package	What It Does
Agent OS	agent-os-kernel	Governance kernel — policy enforcement, capability-based security, audit trails, and the syscall abstraction layer for AI agents
AgentMesh	agentmesh-platform	Zero-trust communication — mutual TLS for agents, encrypted channels, trust scoring, and secure multi-agent orchestration ("SSL for AI Agents")
Agent Hypervisor	agent-hypervisor	Runtime supervisor — execution rings, resource limits, sandboxed execution, kill switches, and real-time intervention for autonomous agents
Agent SRE	agent-sre	Reliability engineering — health monitoring, SLO enforcement, incident response automation, and chaos engineering for agent fleets

Star the ecosystem

        

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Why a Unified Governance Stack?

Running AI agents in production without governance is like deploying microservices without TLS, RBAC, or monitoring. Each layer solves a different problem:

Concern	Without Governance	With Agent Governance
Security	Agents call any tool, access any resource	Capability-based permissions, policy enforcement
Trust	No identity verification between agents	Mutual TLS, trust scores, encrypted channels
Control	Runaway agents consume unbounded resources	Execution rings, resource limits, kill switches
Reliability	Silent failures, no observability	SLO enforcement, health checks, incident automation
Compliance	No audit trail for agent decisions	Immutable audit logs, decision lineage tracking

One install. Four layers of protection.

The meta-package ensures all components are version-compatible and properly integrated. No dependency conflicts, no version mismatches — just a single pip install to go from zero to production-grade agent governance.

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The Agent Governance Ecosystem

agent-governance ─── The meta-package (you are here)
├── agent-os-kernel ─── Governance kernel
├── agentmesh-platform ─── Zero-trust mesh
├── agent-hypervisor ─── Runtime supervisor (optional)
└── agent-sre ─── Reliability engineering (optional)

Each component works standalone, but they're designed to work together. The kernel enforces policy, the mesh secures communication, the hypervisor controls execution, and SRE keeps everything running.

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Contributing

Contributions are welcome! Please see the individual component repos for contribution guidelines:

• Agent OS
• AgentMesh
• Agent Hypervisor
• Agent SRE

License

MIT — see LICENSE for details.

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imransiddique.com · Documentation · GitHub

Building the governance layer for the agentic era