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synapse-swarm

Coordinate three agents to analyze visual input and summarize results via Streamlit.

13|2|Updated Mar 17, 2026
Search Tags:#multi-agent#orchestration#vision#streamlit#tts#arbiter
One-click install
npx skills add https://github.com/amanning3390/hermeshub --skill synapse-swarm
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: synapse-swarm
Source: https://github.com/amanning3390/hermeshub/tree/main/skills/synapse-swarm
Command: npx skills add https://github.com/amanning3390/hermeshub --skill synapse-swarm

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Coordinate real-time, multi-perspective analysis of visual input by delegating tasks across three specialized agents (ZERO, NOVA, TITAN) and presenting results via a Streamlit dashboard, with voice and text command support and TTS feedback.

Core Features & Use Cases

  • Coordinated tri-agent reasoning across ZERO (Vision Analyst), NOVA (Tactical Strategist), and TITAN (Arbiter) to deliver a final verdict.
  • Customizable system prompts and a Streamlit UI for live collaboration and TTS output.
  • Real-time dashboard access for operator workflows and post-analysis reporting.
  • Example use case: a security operator feeds camera input and receives a concise, voiced verdict with context.

Quick Start

Launch the Streamlit dashboard to start the Synapse Swarm in real time.

Frequently Asked Questions about synapse-swarm

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

FAQPage Schema
How do I coordinate multiple agents for real-time vision analysis?▼

Multi-agent vision analysis coordinates specialized agents to process visual input, apply tactical strategy, and deliver a summarized verdict via a Streamlit dashboard with TTS feedback.

What do I need to set up a voice-command workflow with live camera input?▼

You need a Hermes Agent with camera access, a Streamlit UI, and Python libraries supporting TTS and audio input/output to process voice commands and return voiced decisions in real time.

Can I customize agent behavior for a real-time decision support dashboard?▼

Yes, you can customize the system prompts for each specialized agent to tailor reasoning and tactical strategy before the arbiter summarizes results on your Streamlit dashboard.

Does multi-agent orchestration work with Streamlit for operator workflows?▼

Yes, multi-agent orchestration integrates directly with Streamlit to provide a real-time dashboard interface, enabling operators to feed camera input and receive post-analysis reporting.

How does the arbiter agent summarize multi-perspective visual analysis?▼

The arbiter agent consolidates reasoning outputs from the vision analyst and tactical strategist agents to deliver a concise final verdict that can be voiced via TTS output.

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