About
Persistent memory for the AI agents your enterprise actually runs.
This page is the long-form version. The home page covers what Mycelium does and how it ships. This page covers why the name exists, what we believe, and who is building it.
The name
A mycelium is the underground network of fungal threads that connects every tree and plant in a forest. Nutrients move along it. Signals move along it. Memory of what the ecosystem has experienced moves along it. The forest above ground is the visible outcome; the network below is the load-bearing infrastructure.
We picked the name because the metaphor is the architecture. Persistent shared memory connects every agent, every system, every operator across an enterprise. The agents and dashboards your business sees are the visible outcome. The memory layer underneath is the load-bearing infrastructure that makes the rest hold together.
What we believe
Most AI agents fail not because the models are weak, but because they have no memory of what your business has decided, who is involved, why a policy exists, or what was tried last quarter. Without persistent shared memory, every agent is a stranger to your company every time it wakes up.
The fix is not bigger context windows. The fix is a memory layer that sits between the agent and the enterprise: typed, queryable, version-controlled, portable across model vendors, reliable enough to plug into procurement.
We build for the company that has already adopted AI agents internally and now needs them to actually act inside the business. The work is not about model selection. The work is about the layer that makes the model usable on Tuesday.
Open core, on purpose
The memory layer ships open source under MIT. The pattern, the schema, the typed graph, the conventions for write-back and resolution: anyone can clone the repository, install the layer on a single machine in two hours, and run the same primitives locally that we run for enterprise.
The runtime that operates the memory layer across an enterprise (multi-tenant authentication, audit, real-time event streams, webhook reliability, single-tenant or on-premise deployment) ships under commercial license. Same shape as Vercel and Supabase: open core that teaches the pattern, paid runtime that carries it across teams.
We picked this shape because it forces honesty. If the open-source layer does not actually work, no one runs it. If it does, the path from a single operator to an enterprise install is continuous, not a rebuild.
Reliability is a discipline, not a claim
Every release passes 59 automated checks before it ships. End-to-end integration tests run on every code change. Our reliability standards and the step-by-step recovery procedure are public in the GitHub repository. The release does not go out if any check fails.
We chose to publish these documents because security teams ask the same questions every time: how do you test, what happens when something breaks, what does the audit trail look like. The answer is in the repository, and the answer is the same whether you are a single operator or a Fortune 100 security team.
The operators behind it
Built by operators who have run the kind of company that buys software like this, not by researchers describing what should be possible.
Adelaida Diaz-Roa
Co-Founder
Seven companies. Two exits. Shark Tank at 18 (Mark Cuban + Barbara Corcoran). Success Magazine 30 Under 30.
Authored ai-brain-starter (MIT, in production), the open-source substrate Mycelium productizes, and has been running it across her own active companies since before it had a name. Live install today: 15,655 typed memory entries, 51,236 relationships, 389 CRM contacts with full interaction history, 129 decisions logged with provenance.
Leads product, architecture, install delivery, and the open-source substrate.
Nelly Ortiz
Co-Founder
A decade-plus at the enterprise tier. Director of Business Hacking US Co-Lead at Globant, Head of Digital Strategy USA at NTT DATA, IBM iX Senior Strategy Consultant. Advised IBM, Citi, Disney, MGM, L'Oréal, P&G, Univision, Intuit, NTT DATA, Globant, Mindtree, and dozens of Americas-wide enterprises on digital and AI strategy.
TEDx Santa Barbara speaker on closing the LATAM wealth gap with technology. Globant Awards Tech Entrepreneur. Leads enterprise sales, partnerships, cohort delivery, and brand.
Lineage
Operators of the pattern Mycelium productizes.
These voices ran the open-source memory pattern inside their own businesses before Mycelium-as-Mycelium existed. The primitives are older than the company name; the runtime productizes them at enterprise quality.
“I've spent over 10 years building systems to run my life and my companies. I've fired more productivity tools than employees. My verdict on Mycelium after testing it: someone with no technical background in software can reach more than 85% of the efficiency tech-fluent people operate at today, without writing code and without getting locked into a vendor. You operate the capability yourself, you don't rent it.”
Sebastian Gallo
Co-Founder, Torre
Founder, newshare now
“I installed Mycelium with an empty vault. Today it's the operating system of three companies. In less than two weeks: almost 11,000 files. 58 people in a CRM with full history. 143 Granola transcripts auto-imported. 1,300+ WhatsApp threads logged. More than a template, it's an architecture. I built 11 Claude Code skills and 400+ scripts on top of that base.”
Danny Bravo
Founder, Hardcore AI by 30X
Tribu iA · Rewired
“Mycelium is an integral and highly effective solution. It goes beyond being a simple tool: it lets you automate the office consciously. It's fully accessible to people without technical or programming knowledge.”
Andrea Liévano
Founder & CEO, PRPARATODOS
Author, Visibilidad Infinita (Editorial Planeta)
“I don't know how I'd function today without Mycelium. It understands my context and my goals, and with all of that helps me create proposals and structure internal improvements in my business. It's a before and after.”
Luisa Lafaurie Cabal
Founder, Luisa Postres
Co-Owner, Student Travel Center
“The more technology there is, the more human we must become. If a machine can do everything, and do it well, like Mycelium, why not use it? It's a step-change. Now my team has more time for what only humans can do.”
Camila Fierro
Founder, Alción
Global Shaper, World Economic Forum