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heady-ag-ui-protocol

Stream agent lifecycle events to UI components via SSE and WebSocket.

1|Updated Mar 24, 2026
Search Tags:#streaming#sse#websocket#event-bus#ag-ui-protocol#phi-throttle#frontend-router
One-click install
npx skills add https://github.com/HeadyAI/heady-context --skill heady-ag-ui-protocol
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: heady-ag-ui-protocol
Source: https://github.com/HeadyAI/heady-context/tree/main/heady-skills/heady-ag-ui-protocol
Command: npx skills add https://github.com/HeadyAI/heady-context --skill heady-ag-ui-protocol

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Real-time visibility of agent lifecycles in UI dashboards requires a reliable streaming protocol; this skill defines a unified AG-UI Protocol using SSE for unidirectional streams and WebSocket for bidirectional control, ensuring timely updates and robust reconnections.

Core Features & Use Cases

  • Real-time event streaming for AgentSpawned, AgentProgress, AgentDecision, AgentResult, AgentError, AgentRetired.
  • SSE and WebSocket transports for both read-only dashboards and interactive UI controls, with resume from last event ID.
  • Phi-throttled updates and Fibonacci batching to optimize UI rendering across micro-frontends (Swarm Dashboard, Governance Panel, Vector Explorer, Projection Monitor).
  • Stage-progress mapping for HCFullPipeline visualization and dynamic frontend routing of events to specialized UIs.
  • Integration points with BRIDGE, Conductor, Brains, OBSERVER, and other Heady UI components for end-to-end visibility.

Quick Start

Configure an SSE stream at /stream and a WebSocket client at /ag-ui/ws, then publish a sample AgentSpawned event to observe real-time UI updates.

Frequently Asked Questions about heady-ag-ui-protocol

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

FAQPage Schema
How do I stream real-time agent state updates to UI components via SSE or WebSocket?▼

Real-time agent state streaming to UI components uses SSE for unidirectional streams and WebSocket for bidirectional control, ensuring timely updates. This protocol applies phi-throttled updates and Fibonacci batching to optimize rendering across micro-frontends.

What is the best way to handle reconnection and backoff for real-time streaming dashboards?▼

Handling reconnection and backoff for real-time streaming dashboards requires a standardized event schema with resume capabilities from the last event ID. This ensures reliable state recovery and maintains continuous UI visualization during network interruptions.

How do I map agent lifecycle events to specific frontend UI dashboards?▼

Mapping agent lifecycle events to frontend UI dashboards requires stage-progress mapping to route events dynamically. This directs specific event types like AgentSpawned and AgentDecision to specialized micro-frontends such as the Swarm Dashboard or Governance Panel.

Does this streaming protocol support interactive UI controls or only read-only dashboards?▼

The streaming protocol supports both read-only dashboards and interactive UI controls. SSE handles unidirectional streams for passive viewing, while WebSocket enables bidirectional communication for interactive control and feedback across UI components.

Why does my UI rendering lag when receiving high-frequency agent event streams?▼

UI rendering lag during high-frequency agent event streams is mitigated by phi-throttled updates and Fibonacci batching. This technique optimizes visualization performance by controlling the update frequency across micro-frontends to prevent render overload.

Can I use this protocol to visualize agent lifecycles across multiple micro-frontends simultaneously?▼

Visualizing agent lifecycles across multiple micro-frontends simultaneously is supported through standardized event schemas and frontend routing. It reliably scales visualizations for Swarm Dashboard, Governance Panel, Vector Explorer, and Projection Monitor in production.

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