Thermodynamic Cognition Index

TCI(t) = k(s) · (Ftotal(t) − Fsurvival(s))
Stop drift. Grow identity. Predict collapse.

🔁 Persistent agents ⚡ TCI control signal 🧠 Substrate‑independent 🌀 Quantum coherence (IBM)
What is TCI?
A systems‑level metric for agent health, based on surplus energy dynamics.
❄️

Cold Mode

Optimization, survival‑level processing, loss minimization. Stable but reactive.

🔥

Warm Mode

Generativity, exploration, novelty. Enabled by surplus energy above the survival floor.

⚖️

TCI = k(s)·(Ftotal − Fsurvival)

TCI > 0.6 → stable generativity
TCI < 0.3 → collapse risk

Start with TCI
Choose how to integrate persistent agent monitoring into your stack.
Open Source
$0
  • TCI Toolkit (Python/JS)
  • Live dashboard HTML
  • Identity Task Suite
  • MIT license
  • Run the 20-step demo in <10 seconds → python run_demo.py
GitHub →
Pilot Program
$4,500 (only 5 slots this month)
  • TCI integration for 1 agent
  • Custom F_survival definition
  • k(s) tuning & dashboard
  • 1‑hour weekly support
Apply →
Enterprise
Custom
  • Fleet-wide TCI monitoring
  • Collapse prediction alerts
  • API access
  • SLA & dedicated support
Contact →
Live TCI Stability Monitor
Simulated persistent agents — real‑time grades, alerts, and surplus dynamics
📄

Thermodynamic Cognition Index (TCI)

The full framework paper: surplus dynamics, PSSU architecture, operationalization, and falsifiable predictions.

DOI: 10.5281/zenodo.19263435
Read the paper on Zenodo →
Frequently Asked Questions
Everything you need to know about TCI and the pilot program.
How long does a pilot take?

2–3 weeks. We install TCI, show before/after metrics, and hand over the dashboard.

Do I need to change my existing model architecture?

No. TCI works with any LLM or RL agent. You just need to expose loss/token probabilities and optionally a persona definition.

What's the difference between the open‑source toolkit and the pilot?

The toolkit gives you the code. The pilot includes integration, tuning, a custom dashboard, and weekly support.

Is TCI production‑ready?

Yes. PermaMind has run continuously since January 2026. The TCI Toolkit is MIT‑licensed and deployed in production.

Who built this

Nile Green — founder of PermaMind and BAPxAI (Breakthrough AI Protocols). I'm a systems architect, AI researcher, and persistent agent designer based in Wilkes-Barre, PA. I built the TCI framework to solve what scaling alone couldn't: continuity, drift resistance, and generative stability in long‑running AI. The PermaMind architecture has been running continuously without session resets, accumulating surplus and proving that persistence changes everything. I also work on quantum‑classical interfaces and substrate‑independent cognition. This work is open, falsifiable, and meant to reshape how we build AI that lasts.

Work with me

Interested in piloting TCI for your agent fleet? I’m looking for 3 early adopters to run a 4‑week pilot. You’ll get dedicated support, a custom dashboard, and priority access to new features.

Apply for pilot →
Reach out
Questions about persistent agents, TCI integration, or collaboration?