Memoryco builds cognitive memory infrastructure for AI — local-first, biologically-inspired, and designed to outlast any single model or platform.
Every AI conversation starts from zero. Your assistant doesn't remember what you told it yesterday, what you're working on, or who you are. The industry's answer has been to stuff ever-larger context windows or bolt on vector databases — approaches that treat memory as a search problem rather than a cognitive one.
We think that's fundamentally wrong. Human memory isn't a search engine. It's a living system where associations form through use, unimportant details fade naturally, and everything — even what you've forgotten — can be recalled given the right trigger. That's what we're building.
Memoryco started from a simple observation: the best AI memory system shouldn't require a cloud account, a monthly API bill, or trusting a third party with your most sensitive context. Your memory should live where your data lives — on your machine, under your control, in a format you can back up with a single command.
A learning system that happens to have an LLM interface, not an LLM that happens to have a knowledge base.
These aren't aspirations — they're engineering constraints we build against every day.
Searching isn't remembering. Real memory involves energy, decay, association, and reinforcement. We model all of it — Hebbian learning, four-state energy lifecycle, propagation through associative networks.
Your brain.db is a file on your disk. Not our server, not our problem, not our data. Back it up with cp. Move it with scp. We never see your memories, and we never want to.
Most systems treat data as permanent by default. We treat it as ephemeral by default. What survives is what matters — reinforced through actual use, not manual curation. This is how real memory works.
We build on MCP — the open standard — because your memory shouldn't be locked to one AI provider. Switch models, switch platforms, your brain comes with you.
Memoryco isn't a weekend hackathon project wrapped in a landing page. It's built by engineers with decades of experience shipping production infrastructure at companies where reliability isn't optional.
Our team has built and shipped SDKs used by thousands of companies, contributed to developer tools across mobile and web platforms, and invented instrumentation technology that's been independently validated by multiple patents. We bring that same rigor to memory infrastructure — exhaustive testing, clean architecture, and a deep allergy to "it works on my machine."
We chose Rust because memory infrastructure can't afford garbage collection pauses, undefined behavior, or runtime panics. We chose SQLite because it's the most deployed, most tested piece of software on the planet. These aren't trendy choices — they're boring, correct ones.
We're building a marketplace of indexed, searchable, citable reference packs — and we're looking for partners who want to make their authoritative content more useful in the age of AI.
Have authoritative reference material that professionals rely on? We index it for AI-native search while you retain full control of your content. Intelligent access, not redistribution.
Turn curricula into indexed reference packs with annotation layers. Students get searchable course materials with spaced repetition hooks built in.
Building an AI agent, IDE plugin, or developer tool? Add persistent memory to your product through MCP. Your users get memory, you get stickier engagement.
Organizational knowledge shouldn't evaporate when someone leaves a Slack channel. Shared memory spaces give teams persistent, searchable institutional context.
Memoryco is self-funded and profitable by design. We're building this company the way we build software — deliberately, with minimal dependencies and no single points of failure. We don't need outside capital to ship product or reach customers.
That said, the right investment could accelerate our timeline — not change our direction. We're open to conversations with investors who understand developer infrastructure, respect founder-led product vision, and are comfortable with a company that prioritizes sustainable growth over blitz-scaling.
If that sounds like your kind of investment, reach out.
Whether you're a publisher interested in the marketplace, an investor who respects founder vision, an enterprise team evaluating memory infrastructure, or just someone who thinks AI deserves better than amnesia — we'd love to hear from you.
hello@memoryco.ai