ChronoMind — Solving AI Forgetfulness

Problem

AI memory resets every session.
Context vanishes, long-term understanding dies with the token limit.

💥 BINFLOW Solution

ChronoMind creates a temporal-stack memory, storing context as BINFLOW states over time.
Each state evolves through Focus → Stress → Transition → Emergence, forming continuity instead of snapshots.

⚙️ MVP Markup
from binflow import TemporalStack

memory = TemporalStack()
memory.push("Focus", "Analyzing BINFLOW query")
memory.push("Transition", "Generating AI roadmap")
memory.evolve()

🌍 Impact

LLMs with ChronoMind don’t just recall text — they recall how you got there.
It’s adaptive memory, not static recall.