Agent Compliance

┌─────────────────────────────────────────────────────────────────┐
│                      agent-governance                            │
│                  pip install agent-governance-toolkit[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 Runtime     │      │   Agent SRE               │     │
│   │                   │      │                           │     │
│   │  Execution Rings  │      │  Health Monitoring        │     │
│   │  Resource Limits  │      │  SLO Enforcement          │     │
│   │  Runtime Sandboxing│     │  Incident Response        │     │
│   │  Kill Switch      │      │  Chaos Engineering        │     │
│   └───────────────────┘      └───────────────────────────┘     │
│                                                                 │
└─────────────────────────────────────────────────────────────────┘

import asyncio
from agent_os import StatelessKernel, ExecutionContext
from agentmesh import AgentIdentity

# Boot the governance kernel
kernel = StatelessKernel()
ctx = ExecutionContext(agent_id="my-agent", policies=["read_only"])

# Establish zero-trust agent identity
identity = AgentIdentity.create(
    name="my-agent",
    sponsor="alice@company.com",
    capabilities=["read:data", "write:reports"],
)

# Execute a governed action
async def main():
    result = await kernel.execute(
        action="database_query",
        params={"query": "SELECT * FROM users"},
        context=ctx,
    )
    print(f"Success: {result.success}, Data: {result.data}")

asyncio.run(main())

from agent_compliance.verify import GovernanceVerifier

verifier = GovernanceVerifier()
attestation = verifier.verify()
print(f"Grade: {attestation.compliance_grade()}")  # A, B, C, D, or F
print(f"Coverage: {attestation.coverage_pct()}%")
print(attestation.badge_markdown())

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

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

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

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

# Quick start — boot the governance stack in 30 lines
python examples/quickstart.py

# Full stack — all 4 layers working together
python examples/governed_agent.py

# LangChain
pip install langchain agent-governance

# CrewAI
pip install crewai agent-governance

# AutoGen
pip install pyautogen agent-governance