Dingdawg Loop

DingDawg Loop Protocol (DDLP) — safe scheduled AI agents with governance gates.

Every loop execution is verified, receipted, and fail-closed. MCP-native. Works with CrewAI, LangGraph, Claude Code, and Cursor.

Install

npx dingdawg-loop

Or as an MCP server in Claude Desktop / Claude Code:

{
  "mcpServers": {
    "dingdawg-loop": {
      "command": "npx",
      "args": ["dingdawg-loop"]
    }
  }
}

What it does

DDLP wraps any scheduled agent action with a governance gate that:

• Evaluates the loop description before execution
• Blocks destructive, financial, or sensitive operations until policy thresholds are met
• Signs every execution with an Ed25519 receipt
• Provides full audit history per loop

MCP Tools

Tool	Description
register_loop	Register a new scheduled loop with name, description, cron, and governance policy
execute_loop	Run one cycle of a registered loop — governance gate fires before any action
list_loops	List all registered loops with status, last execution, and receipt count
pause_loop	Pause a running loop — no executions until resumed
resume_loop	Resume a paused loop
loop_audit	Retrieve the full signed receipt audit trail for any loop

Governance gates

DDLP classifies every loop at registration time. High-risk categories require elevated approval:

• Destructive operations — file deletion, database mutations, DROP statements
• External communications — email sends, Slack messages, webhook calls
• Financial operations — any spend, transfer, or payment action
• Sensitive data access — PII reads, credential access, health records
• Bulk operations — mass updates, batch sends, bulk deletes

Compatibility

Works with any MCP-compatible AI client:

• Claude Desktop / Claude Code
• Cursor
• CrewAI (via MCP bridge)
• LangGraph (via MCP bridge)

License

BUSL-1.1 — see LICENSE

Publisher

DingDawg Enterprise — [email protected] — dingdawg.com