Govern every agent you run.

One install. Every agent governed. Works with any MCP-compatible environment, any language, any framework.

Claude Code, Cursor, Lovable, Base44, VS Code, or any MCP-compatible environment.

Zero Friction

Add one line. Done.

Works in any MCP-compatible environment. No npm. No terminal. Just paste.

Step 1

Copy this configuration:

{
  "mcpServers": {
    "agentomy": {
      "type": "http",
      "url": "http://localhost:3000/api/mcp"
    }
  }
}

Step 2

Paste into your agent environment settings:

Cursor Claude Code Lovable Base44 VS Code Other

Paste into Cursor MCP settings at Settings > MCP Servers

Step 3

Run your agent. It is governed.

From paste to governed: 90 seconds.

Full Control

For developers who want full control.

TypeScript or Python. Import, configure, govern.

TypeScript

// npm install agentomy-agent@0.1.0
import { GovernancePipeline } from 'agentomy-agent'

const pipeline = new GovernancePipeline({
  endpoint: process.env.AGENTOMY_ENDPOINT,
  token: process.env.AGENTOMY_TOKEN,
  agentId: 'my-agent'
})

await pipeline.evaluate({ action: 'data_export' })

Python

# pip install agentomy-guardrail (available via Docker SDK)
from agentomy_guardrail import AgentomyGuardrail

guard = AgentomyGuardrail(
    endpoint=os.environ['AGENTOMY_ENDPOINT'],
    agent_id='my-agent'
)

result = guard.check(action='data_export', tier='builder')

Benchmark First

Run the benchmark first. See the gap. Then install.

See exactly what governance your agents are missing. Then install Agentomy to close every gap.

# Run GovernanceBench against your agents
npx governancebench

# See your scores across 5 dimensions
# Then install to close the gaps
npm install agentomy-agent

What happens next

Run your agent. Every action it takes will be logged and checked against your policies before it runs. You can ask AgentomyGuide anything about your agents at any time. No logs. No dashboard. Just ask.