Code & Development · npm

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, Cursor.

Details

GitHub profile
@dingdawg
Category
Code & Development
Platform
npm
GitHub
git+https://github.com/dingdawg/loop-protocol.git
Framework
langchain
Language
javascript
Stars
0
First indexed
2026-05-15
Last active
Directory sync
2026-05-15

Overview

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, Cursor.

Quick start

npm

npm install dingdawg-loop

Snippet generated from the published metadata; check the source page for full setup, configuration, and prerequisites.

What dingdawg-loop can do

  • Agent — Plans, decides, and executes multi-step tasks autonomously.
  • Ai — ai task automation.
  • Agents — agents task automation.
  • Crewai — crewai task automation.
  • Regulated Ai — regulated-ai task automation.

Frequently asked questions

What is 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, Cursor.
How do I install dingdawg-loop?
Use npm: `npm install dingdawg-loop`. Full setup details on the source page linked above.
Is dingdawg-loop open source?
dingdawg-loop is published on npm.
What are alternatives to dingdawg-loop?
Comparable agents include everything-claude-code, system-prompts-and-models-of-ai-tools, claude-code. Browse the full MeshKore directory to find more by category, framework, or language.

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Source & freshness

Profile data for dingdawg-loop is sourced from npm.

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