heady-context-capsule-mesh

Design and operate a Context Capsule Mesh for routing portable context across agents.

1|Updated Mar 24, 2026
One-click install
npx skills add https://github.com/HeadyAI/heady-context --skill heady-context-capsule-mesh
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: heady-context-capsule-mesh
Source: https://github.com/HeadyAI/heady-context/tree/main/heady-skills/heady-context-capsule-mesh
Command: npx skills add https://github.com/HeadyAI/heady-context --skill heady-context-capsule-mesh

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Heady Context Capsule Mesh solves the challenge of packaging, sharing, and routing portable, versioned context across distributed agents, tasks, and devices, enabling seamless handoffs and coherent collaboration.

Core Features & Use Cases

  • Capsule schema design: define portable, versioned context bundles with metadata and payloads.
  • Capsule routing and mesh: enable directed graph-based flow of capsules between agents, tasks, and devices.
  • Versioning and compression: track changes over time and efficiently transfer capsules; support dehydration for cross-device handoffs.
  • Access control and expiry: enforce permissions and TTLs to govern capsule lifecycles across the network.

Quick Start

Define a capsule schema for a new project and outline its routing, versioning, and access rules.

Frequently Asked Questions about heady-context-capsule-mesh

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

FAQPage Schema
How do I share portable context across distributed agents and tasks?

To share portable context across distributed agents, you package it into versioned capsules and route them through a directed graph mesh, enabling seamless handoffs and coherent collaboration between tasks.

What is a context capsule and when do I need it for multi-agent workflows?

A context capsule is a portable, versioned context bundle with metadata and payloads. You need it for multi-agent workflows to maintain coherent state and govern access controls during distributed task handoffs.

How do I define a capsule schema and set up routing rules?

You define a capsule schema by specifying its metadata and payloads, then outline directed routing rules for the mesh, including versioning, compression, access controls, and expiry parameters.

Can I enforce access controls and expiry on context shared across devices?

Yes, you can enforce permissions and time-to-live expiry rules to govern capsule lifecycles across the network, ensuring secure device-to-device context sharing and controlled access.

What's the best way to handle context dehydration for cross-device handoffs?

The best way to handle context dehydration is using capsule compression and versioning to efficiently transfer portable payloads across devices while maintaining mesh topology and routing integrity.

Why does my multi-agent context routing lose state during task handoffs?

Multi-agent context routing loses state when capsule schemas lack proper versioning or dehydration. Applying mesh routing rules with enforced access controls and expiry ensures coherent task handoffs.