Lab — Live Nodes

Run BoggersTheAI
on Your Machine

Local-first. No cloud. No API keys for the core. One Python install and your laptop becomes a running TS instance.

Install in 5 Steps

~5 minutes from zero to running wave cycle.

1
Clone BoggersTheAI
$ git clone https://github.com/BoggersTheFish/BoggersTheAI
$ cd BoggersTheAI
2
Install dependencies
$ pip install -e ".[llm,adapters]"
# Optional extras: faster-whisper, piper-tts (multimodal)
3
Configure
# config.yaml ships in the repo — edit inference.ollama.model / paths as needed
4
Install Ollama + a model
# https://ollama.com
$ ollama pull llama3.2
$ ollama pull nomic-embed-text
5
Run the system
dashboard-start
# FastAPI dashboard → http://localhost:8000
# Or: boggers (CLI + background wave)

Dashboard Features

FastAPI + Cytoscape.js + Chart.js + Rich TUI — full observability stack.

Live Graph View
Cytoscape.js renders the living graph in real-time — watch activation flow between nodes as the wave cycle runs.
Wave Cycle Monitor
Chart.js plots activation history, tension levels, and cycle stats. See every Propagate → Relax → Evolve step.
Rich TUI
Terminal-first interface with color-coded node states, tension meters, and live cycle logs. No browser required.
Interactive Nodes
Click any node in the dashboard to manually push activation — same as vibe-coding a node. Watch the wave propagate.

Try It Here

A browser-based preview of the wave cycle. Click nodes, push activation, watch propagation.

TS-OS Mini Simulator
cycle #0
TS CoreLLMMemoryWave CycleSelf-ImproveOutputYou

Click nodes to push activation

Node States

Ask the graph

LLM + graph

Your prompt is decomposed into concepts, matched against the live graph, and optionally explored via a probe node and wave cycles when context is thin; the LLM then synthesizes an answer. Requires the Docker backend and Ollama.

Live server graph

Same graph the AI uses: activation size, edges, wave cycle + tension. Probes from graph exploration appear in orange; conversation nodes in purple. Refreshes every few seconds and after activity on TS Chat.

Living graph
probe · chat · query · conceptamber ring = high TS heat (activation × instability). White ring = last path (retrieval ∪ probe ∪ query node).