PEARL Local
Private local memory for developers, founders, researchers, writers, and operators who live inside agent workflows.
Agentic memory
PEARL Agentic Memory
Governed memory for Claude, Codex, and other agents. Stop agent amnesia, keep boundaries clean, and make reuse auditable.
Private by default
Local memory stays under user control.
Shared by review
Memory crosses boundaries only with intent.
Institutional by approval
Enterprise reuse is governed and auditable.
Memory ladder
From solo recall to enterprise authority.
PEARL starts as a private memory drive for agent-heavy work and scales into governed institutional memory with policy, review, signing, and ROI proof.
PEARL Studio
Separated client and project vaults with lightweight audit posture for consultants and agencies.
Team Bridge
Small-team sharing with permissions, review-before-share, and visible reuse counters.
Enterprise
Governed authority for institutional memory, review gates, audit ledgers, signing, and operational proof.
The Global Token Meter · live estimate
Watch the world consume AI tokens in real time.
Tokens are the metered units of machine intelligence. This debt-clock-style counter starts when you open the page and turns public disclosures into a visible order-of-magnitude estimate.
Scenario
Live estimate
Tokens generated worldwide since you opened this page
The visual counter estimates global token generation since this page was opened.
Running at approximately 1.9 billion tokens per second in the central scenario.
So far today · UTC—
So far in 2026—
Projected 2030 rate120 quadrillion / mo
— per day at an illustrative $0.50 per million tokens.
Roughly two large nuclear reactors running continuously.
About — Olympic swimming pools per day.
Approximately six billion tokens of text every few seconds.
Methodology & clickable sources Every constant, assumption, and caveat behind the clock
3.2 quadrillion tokens/month
Google reported more than 3.2 quadrillion monthly tokens across its surfaces at I/O 2026, up sevenfold year over year.
Read the Google I/O disclosure5 quadrillion tokens/month
Goldman Sachs forecasts 120 quadrillion monthly tokens by 2030, a 24× rise from 2026. Dividing 120 by 24 gives the clock's 5Q central case.
Read the Goldman Sachs forecast0.24 Wh + 0.26 mL per prompt
Google measured these values for the median Gemini Apps text prompt. The central case rounds the per-token conversion using roughly 700 tokens per prompt; the scenarios bracket uncertainty.
Honesty note.
This is a plausibility instrument, not live provider telemetry. The rate is a flat extrapolation from point-in-time disclosures. Energy and water estimates apply Google-class median text-prompt efficiency and assume roughly 700 tokens per prompt. Central spend assumes $0.50 per million tokens; scenarios range from $0.25 to $1.00. Wikipedia, reactor, and pool comparisons are scale references. Treat every digit after the first as decoration. Calibrated July 10, 2026.
Commercial boundary
Adapters distribute PEARL. Runtime authority powers it.
Free skills and adapters help people meet PEARL. Paid plans unlock the runtime, vault, signing, sync, counters, review, and enterprise authority layer.