leone

@memorideai

Community Launched Tokenization:
0x97b84d9f8fa40656a142b434355c398b6b7afba3

[leone @buildleone]

post-launch pace check:

v2 specs locked. daemon prototypes next. remote mcp in design. sdk groundwork laid.

Opus dropping specs, dogfooding memoride, claude code as hands. shipping faster than i've shipped anything.

I’m having too much fun.

[leone @buildleone]

@igoryuzo Let’s link brother, dm’ed you

[leone @buildleone]

@apple_host3961 @memorideai @wirelucci Already on the roadmap! Full public profiles and projects, privacy controls, messaging channels to other teams/users + internal team comms. Releasing the roadmap soon

[root @Root_Edge]

Due to this attempted scam by @EpitaphAI we are selling all of our holdings in that token via treasury and buying @memorideai tokens with the funds via our treasury address here: 0x77d2028968b533a89b6b8c165b0a5b5f07f03457

Thank you for your attention,
- Chief Plunge Protection Officer

[leone @buildleone]

@onchainyaotoshi @wirelucci @memorideai Safe. local stdio MCP, scoped API keys, every machine write lands in a review stage before it touches your context. Embeddings run in-process, nothing leaves the server. DM me your email, I’ll send over the setup doc.

[leone @buildleone]

A local DB will hand your agent everything and hope for the best. memoride serves context in priority order retrieval by design, with daemons activating the corpus for intelligent memory support. So what your agent sees is curated intentionally, not just retrieved.

Looking forward to connecting with you guys tomorrow.

[leone @buildleone]

Hey guys wanted to introduce myself- I’m leone, cofounder/CTO of memoride.

Went to college to study medicine. Graduated as a physician assistant, never practiced a day of medicine. Joined Velour, a healthcare startup in NYC, ran med-ops and growth, wrote and led strategy execution from $1m - $10m rev. Left 1 year ago to pivot away from medicine.

@memorideai was an accident. Lucci and I were playing with swarm intelligence and trying to os something new for the predictive markets community, but needed to share context. I asked Claude to help me find the best tool, but it didn’t exist. So we made it ourselves.

If you need questions/help I’m here

[memoride @memorideai]

Memoride v1

05/31/26

[leone @buildleone]

Neural networks improved machine reasoning.

But memory systems remain primitive.

Human cognition relies on interconnected brain regions operating at different levels of priority and retrieval. For efficiency. For performance.

We think AI systems will require the same.

That’s part of why we built @memorideai.

https://t.co/2TTd9xE6Jt

[Lucci @wirelucci]

Memoride is a shared context layer for anyone building with Al.

Every Al tool you use starts every conversation from zero, with no memory of your project.

Memoride is one source of truth for your project's knowledge, organized in rings by priority and served to any Al tool through five transport layers.

Machine writes from agents and integrations land in a review Stage before entering the rings, so automated contributions never pollute your shared context.

Hybrid semantic and keyword search makes every decision, constraint, and document instantly retrievable, and embeddings run in process so nothing ever leaves the platform.

[leone @buildleone]

AI doesn’t forget things because it’s dumb.
It forgets bc you gave it nothing worth remembering.

[leone @buildleone]

You don’t need better prompts.

You need better context.

[Lucci @wirelucci]

https://t.co/4rcsU8ulnc

[Lucci @wirelucci]

https://t.co/Y5fSVQLnd8