| name | synapse-swarm |
| description | Multi-agent cognitive swarm with three chained AI agents — ZERO (vision analyst), NOVA (tactical strategist), and TITAN (final arbiter) — that collaboratively analyze visual input through a Streamlit dashboard. Supports voice and text commands with TTS output. |
| version | 1.0.0 |
| license | MIT |
| compatibility | Hermes Agent with camera/vision access |
| metadata | {"author":"devorun","hermes":{"tags":["swarm","multi-agent","vision","camera","voice","streamlit","chain-of-thought","tactical"],"category":"agents","requires_tools":["hermes-chat","camera","speech-recognition"]}} |
Synapse Swarm
A three-agent cognitive swarm system for real-time visual analysis using Hermes Agent.
When to Use
- Analyzing camera or image input with multi-perspective AI reasoning
- Running a chained agent pipeline: vision → strategy → arbitration
- Building operator dashboards with real-time agent collaboration
- Voice-controlled agent workflows with text-to-speech feedback
- Tactical or creative analysis requiring multiple AI viewpoints
How It Works
Synapse Swarm chains three specialized agents in sequence:
- ZERO (Vision Analyst) — Receives the operator's command and a camera snapshot. Describes key visual details with tactical precision.
- NOVA (Tactical Strategist) — Reads ZERO's visual scan and the original command. Suggests a creative strategic angle based on the observed object or scene.
- TITAN (Arbiter) — Receives all prior context — the command, ZERO's scan, and NOVA's tactic — then delivers a final one-sentence verdict. TITAN's response is also spoken aloud via text-to-speech.
Each agent calls hermes chat under the hood, forming a chain-of-thought pipeline where each agent builds on the previous one's output.
Architecture
Operator Command (voice or text)
│
▼
┌─────────┐
│ ZERO │ ← Camera snapshot + command
│ (Vision)│
└────┬────┘
│ visual scan
▼
┌─────────┐
│ NOVA │ ← ZERO's scan + command
│(Tactical)│
└────┬────┘
│ tactical angle
▼
┌─────────┐
│ TITAN │ ← All context → final verdict (+ TTS)
│(Arbiter)│
└─────────┘
Features
- Chained multi-agent reasoning — Each agent receives the full context chain from previous agents
- Customizable system prompts — Modify each agent's core directives via the sidebar
- Dual input modes — Voice commands (auto-detected language: TR/EN) and text input
- Text-to-speech output — TITAN's final verdict is spoken aloud automatically
- Export reports — Download the full swarm analysis as a
.txt file
- Cyberpunk Streamlit UI — Animated GIF avatars, translucent panels, neon accents
Requirements
- Python 3.8+
- Hermes Agent CLI (
hermes chat)
- Streamlit
- Pillow, SpeechRecognition, gTTS, audiorecorder
- Camera access (for live snapshot input)
Quick Start
pip install streamlit pillow SpeechRecognition gTTS streamlit-audiorecorder
streamlit run app.py
Customization
Agent prompts can be edited in the sidebar at runtime. Each prompt supports these variables:
{command} — The operator's directive{zero_scan} — ZERO's visual analysis output{nova_tactic} — NOVA's tactical suggestion
Source
