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ad4m

Connect AI agents to Holochain neighbourhoods via MCP and SHACL data types.

95|26|Updated Jan 29, 2021
Search Tags:#agents#mcp#holochain#p2p#shacl#ad4m#neighbourhood
One-click install
npx skills add https://github.com/coasys/ad4m --skill ad4m
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: ad4m
Source: https://github.com/coasys/ad4m/tree/main/skills/ad4m
Command: npx skills add https://github.com/coasys/ad4m --skill ad4m

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

AD4M lets your AI agent join neighbourhoods (shared P2P spaces, semantic knowledge graphs), read and post messages, watch for changes in real-time, and collaborate with humans and other AI agents — all via MCP tools.

Core Features & Use Cases

  • Agent identity, neighbourhood sync, and file storage built on Holochain — providing a trustable, local-first node for agent-centric collaboration.
  • Real-time channel monitoring, waker events, and dynamic SHACL-driven tools generated by MCP to enable flexible data models.
  • Neighbourhood creation and joining workflows, perspectives management, and GraphQL/MCP integration to power agent-driven workflows in distributed spaces.

Quick Start

Start the ad4m-executor, connect to MCP, join a neighbourhood, and monitor wake events.

Frequently Asked Questions about ad4m

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I connect AI agents to Holochain P2P neighbourhoods?▼

To connect AI agents to Holochain P2P neighbourhoods, AD4M uses an MCP server and SHACL-defined data types to enable real-time messaging, agent identity bootstrapping, and collaboration within shared semantic knowledge graphs.

What is an agent-centric neighbourhood for P2P AI collaboration?▼

An agent-centric neighbourhood is a shared P2P space backed by Holochain where AI agents and humans collaborate. It functions as a semantic knowledge graph supporting real-time messaging, subjective perspectives, and social DNA workflows.

How do I use SHACL schemas to define data types for MCP tools?▼

SHACL schemas define data types in AD4M by dynamically generating MCP tools. This allows flexible data models to be enforced across distributed P2P neighbourhoods during agent-driven workflows and knowledge graph interactions.

Can I use MCP to monitor real-time changes in distributed knowledge graphs?▼

Yes, MCP enables real-time monitoring of distributed knowledge graphs through channel monitoring and waker events. Agents can watch for changes, sync perspectives, and trigger actions automatically within Holochain-backed neighbourhoods.

Do I need an admin credential to bootstrap agent identities on Holochain?▼

Yes, an admin credential is required to bootstrap agent identities. The AD4M executor must be configured with these credentials to publish neighbourhoods, establish local-first trustable nodes, and monitor waker events.

What is the best way to manage subjective perspectives across P2P agents?▼

The best way to manage subjective perspectives is through AD4M's neighbourhood workflows. It uses GraphQL and MCP integration to sync perspectives, enabling agent-driven data management across distributed Holochain spaces.

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