Status: flagship.
Canonical route: TS-Start-Here -> TS-Reasoner-v0 -> TensionLM -> TS-Codex-OS / TS-Core / CIG.
Role in the TS stack: Lightweight graph/tension runtime kernel for TS-style propagation, relaxation, stability, and inspectable constraint experiments.
What this repo is: A local-first graph engine and CLI for wave propagation, activation/stability dynamics, weighted edges, persistence, and tension telemetry.
What this repo is not: Not a full reasoning model, not an LLM, and not evidence of general intelligence by itself.
Start here: install the package, run the local runtime, then inspect the propagation examples and tests.
Lightweight, local-first graph engine with wave propagation for the TS (Thinking System) architecture.
Python-first with optional Rust acceleration (PyO3). Designed as the reusable core for wave-based cognitive systems.
git clone https://github.com/BoggersTheFish/TS-Core.git
cd TS-Core
python -m venv .venv && source .venv/bin/activate
pip install -e ".[dev]"
# Run the TUI / mind runtime
python -m src.python.mind_runtimeOr use the daily grounding spin:
python -m src.python.daily_spin- Maintains a graph of nodes (with activation + stability) and weighted edges
- Runs wave propagation cycles (standard + Kernel Wave 12 mode)
- Applies filter layers and narrative/Icarus voice overlays
- Persistent JSON + JSONL history
- Optional Z3 constraint solver for toy alignment checks
- Optional Grok/xAI plugin
- Standard wave propagation
- Kernel Wave 12 — advanced 9-phase strongest-node biased cycle
- Daily Spin — quiet grounding + lowest-stability push
- Powers graph dynamics for BoggersTheAI and BoggersTheCIG
- Foundation for GOAT-TS experiments
- Used in TensionLM training loops
This repo implements the mechanical substrate of TS: constraint graphs + continuous wave dynamics that produce emergent stability.
The narrative and philosophical layers sit on top of the actual graph engine.
Default branch: master
License: MIT
Status: Stable kernel, actively used across the TS project