Stop Building Stateless AI Wrappers. This is Drop-In Memory for Any LLM.

Question

Your AI forgets everything after every single message.

Context windows reset. Identity is lost. We don't need heavier context tricks
or complex fine-tuning pipelines to build true agents — we need persistent,
stateful memory.

This video demonstrates an end-to-end execution of the ThermoMind Continuity
SDK wrapping a live DeepSeek model engine.

Watch the execution:

• 0:00 — The core problem: Stateless AI amnesia
• 0:06 — Instantly provisioning a live production API key via the dashboard
• 0:15 — Initializing the layer and testing Turn 1
• 0:21 — Passing ZERO history strings on Turn 2. The memory substrate still holds perfectly.

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Built on the Thermodynamic Cognition Index (TCI) framework, ThermoMind uses
prediction-error gap physics to continually update internal states over a
lightweight, near-zero cost database — no tokens consumed for memory retention.

npm install nile-green-ai/thermomind-continuity

Get Started:

• GitHub SDK: https://github.com/nile-green-ai/thermomind-continuity
• ⚡ Dashboard & Docs: https://thermomind-production.up.railway.app/docs