Free · Open Source · Cooperative

Your AI has Amnesia.
Dr. MnemosyneC has the Cure. Substrate.

The cooperative-class architecture for local-first AI that works at 97.1% on the canonical 70-question MMLU-Pro benchmark · on consumer hardware · with no paid API keys · empirically reproducible.

🛡️
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Windows will flag this installer because we are not a Microsoft-trusted publisher yet. The installer is SHA-512-verified against the hash on this page.
Good. Fast. Cheap. MnemosyneC gives you all six.

Works alongside ChatGPT, Claude, Gemini, or any AI you already use.
All your data stays on your own computer. No cloud. No account required.
FREE (SSPL license) to use FOREVER. No Ads. No Strings.
Optionally join the Cooperative Universal Substrate™ for $5 a year. Not required.

97.1%
MMLU-Pro accuracy · 70Q canonical · consumer hardware · no API keys
$0
Per query cost on Substrate · vs paid API
6
Six properties · Good · Fast · Cheap · Sovereign · Private · Cooperative
83.3%
To Workers · Builders · Creators · structural bylaw

Sealed receipt: BP083 single-node Plow v0.3.5 · Trial_01 68/70 = 97.1% · see Pinned Proofs.

Substrate Replaces New Data Centers

Independent analysis projects ~$4.49B/yr in industry savings across the 6 largest frontier AI labs · ~$898M/yr cooperative license revenue · 83.3% to Workers / Builders / Creators

Source: independent analysis · sealed receipt. $4.49B/$898M figures independent of 227x/165x multiplier reconcile (open per M04).


Pinned Proofs

Plain receipts. Caveats stated aloud. No hype. Click any row to expand.

Benchmark R10 Claude Opus 4.8 recall — 6% cold-start to 89.3% with substrate. ✓ 89.3% / +83 pts

Claude Opus 4.8 scored 6% baseline (cold start) and 89.3% with substrate context injected — a gain of +83 percentage points. Three independent raters, Cohen’s κ = 0.936. Hash-verified.

Caveat: single session, controlled prompts, Claude Opus 4.8. This is NOT the same benchmark as Trial_01 (which uses local model on MMLU-Pro canonical questions). Do not present 89.3% and 97.1% as measuring the same thing.

Receipt: Benchmark R10 · BP065 · Claude Opus 4.8 · single session · controlled prompts

Trial_01 MMLU-Pro canonical 70Q — 68/70 correct on consumer hardware, no API keys. ✓ 97.1% (68/70)

Single-node Plow v0.3.5, substrate-primed local model, MMLU-Pro canonical 70-question benchmark. 68 of 70 correct = 97.1% accuracy. No paid API keys. Consumer hardware. Empirically reproducible.

This is the KPI tile source. The 97.1% tile in the strip above traces directly to this receipt.

Sealed receipt: BP083 · single-node Plow v0.3.5 · Trial_01 68/70 = 97.1% · MMLU-Pro canonical


HOW IT WORKS — The Substrate Persistent Memory Is the Asset · How We Make Sure Things Are True & Quickly & Cheaply Accessed.

That free local model answers at $0 a call. With our Patented Substrace Theorem, you will get the correct answer, in time, and if you or anyone else in the Cooperative Substrate ever asked it before — you’ll get the answer FAST and FREE.

The Mesh Frontier™ runs on hardware every user already owns. No new data center needed, since this makes existing data centers 95% cheaper, more efficient, AND more accurate! A third option to the Data Center Dilemma™.

Truth-Always note: “95% cheaper” is Founder-asserted; independent receipt pending. Rendered verbatim per Founder-verbatim rule.

How will you use MnemosyneC?

Choose your license track. Most users want Personal.