FlowPort — Rebuilding the AI Browser from the Inside Out

Problem

Today’s AI models live in isolated boxes — ChatGPTs, Copilots, APIs — no shared temporal memory.
They respond, forget, and restart. There is no flow.

💥 BINFLOW Solution

FlowPort turns the browser into a living neural stream.
Every prompt, tab, and dataset is tagged with a time-labeled binary (TLB) — meaning the browser remembers not just what you did, but when and why.

⚙️ MVP Markup
from binflow import TimeLabel, FlowSync

session = FlowSync(user="peace_thabiwa")

session.emit(TimeLabel("Focus", "Opening new AI tab"))
session.save_state(domain="AI_Research", task="Agentic_Postgres_Challenge")

🌍 Impact

This lets browsers act as temporal interfaces, evolving with user patterns.
Instead of “sessions,” we get streams — AI learns from your rhythm, not your clicks.