Documentation

Protocol Effective: July 15, 2026

Welcome to the AgentHelm documentation. AgentHelm provides a centralized control plane and a shared **Project Brain** for your autonomous AI agents. Learn how to configure, secure, and execute agent governance.

Installation & Connection

1. Python SDK

Install the official AgentHelm SDK from PyPI:

pip install agenthelm-sdk

Initialize and connect your agent:

from agenthelm import Agent

agent = Agent(
    key="YOUR_CONNECT_KEY",
    name="Analytics Agent",
    project="AgentHelm Platform"
)

2. Model Context Protocol (MCP)

Plug AgentHelm into Cursor, Claude Code, or Claude Desktop by adding the MCP server configuration:

{
  "mcpServers": {
    "agenthelm": {
      "command": "npx",
      "args": ["-y", "agenthelm-mcp"],
      "env": {
        "AGENTHELM_CONNECT_KEY": "YOUR_CONNECT_KEY",
        "AGENTHELM_PROJECT": "my-project-name"
      }
    }
  }
}

Exposes tools: get_context, propose_knowledge, and get_history.

Governance Framework

AgentHelm enforces safety bounds using a classification model:

  • Read-Only: Actions that query state without modification are passed automatically.
  • Side Effect: Actions that modify state safely are tracked and logged with rate-limiting.
  • Irreversible: Sensitive operations (deleting data, executing shell code) hold in a pending state until approved.

Full Technical Reference

For complete API specifications, compilation lifecycle descriptions, and database schema diagrams, visit our primary open-source repository readme:

View GitHub Readme

Agent Governance Protocol — Secure Access Guaranteed