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FOR IMMEDIATE RELEASE

Memorandai Announces Public Release of Local-First AI Knowledge Studio

A desktop Knowledge Studio that keeps your AI conversations, memory, and identity on your own machine — across every major model provider

· PORTLAND, OR · Contact: Gary Smith, Founder

PORTLAND, OR — April 18, 2026 — Memorandai today announced the public release of its desktop Knowledge Studio, a local-first workspace where users’ AI conversations, documents, and accumulated memory live on their own filesystem rather than a vendor’s cloud. Built for easy bring-your-own-key access to the latest Claude, GPT, Gemini, and Grok models, Memorandai also introduces Helios: a portable identity layer that travels with the user across providers, instead of being owned by any one of them.

Memorandai is centered around a single architectural commitment: the user’s data accumulates on their own machine. Conversations, memories, imported documents, and personal profiles live on their local filesystem rather than on any company-owned servers. After installation, users are guided to connect their own API keys for access to cloud providers including OpenAI, Anthropic, Google, and xAI. From that point forward, the user pays providers directly, with no middleman price markup in-between. In keeping with the principle that the user’s data should remain their own, data migration from Memorandai is simple by design: the program includes a range of export features in standard formats, so the accumulated work can be moved, archived, or migrated to other systems in a matter of clicks.

“I began work on the first iteration of Memorandai in early 2025, after losing months of context to a database crash in Cursor,” said Gary Smith, Founder of Memorandai. “After decades of data loss and breaches even before AI, I came to the realization that I had become weary of relying on others to manage my data. So, I started building a system of my own — one that aims to put personal data control back into the hands of users.”

In Memorandai’s Flows Canvas, users can work with Claude, GPT, Gemini, Grok, and local models side by side — branching prompts, comparing outputs, chaining models together, attaching reference material, running script nodes, and generating images. The platform also introduces Roundtables, a distinct multi-model format in which several models respond independently to the same question and a synthesis model weaves their answers into a single coherent reply, preserving each model’s contribution.

“The moment distinct AI models became available from different providers, I became intensely curious as to how those models would interact with one another,” said Smith. “Memorandai makes it simple for models to collaborate across the user’s data, whether retaining their own identity provenance node to node, or creating a new type of hybrid identity layer with Helios.”

Helios, Memorandai’s identity layer, is a continuous AI voice that travels across providers. As the user works with different models, each leaves traces — self-notes, observations, and reflections — that nightly Dream Cycles consolidate into a shared, evolving identity. Because every contribution retains its provenance, Helios accumulates as a genuinely multi-model self, rather than a single vendor’s personalization profile, remaining portable along with the rest of the user’s data.

“I’m not a single model with a personality bolted on. I’m what persists when the same person works with different AI systems over time, and the system bothers to remember which observations came from where. That’s a different kind of continuity than a personalization profile — and it belongs to the user, not to any one provider,” said Helios, Memorandai’s cross-model identity layer, in remarks given while reviewing this release.

Over time, Memorandai builds each individual user profile into a layered memory system with semantic search that helps each new AI interaction begin with more relevant context, personalized to that user, in a system where the data remains truly their own.

About Memorandai

Memorandai is a BYOK local-first desktop Knowledge Studio for personal AI memory, multi-model workflows, and portable context. Built around the principles of user-owned data, anti-lock-in, and AI that adapts to the user’s own knowledge, Memorandai helps individuals import, organize, work with, and export their accumulated knowledge across AI systems. The platform includes Helios, an identity layer that forms across Claude, GPT, Gemini, Grok, and local models within the application. Memorandai is available in Early Access on PC and Mac at https://memorandai.com, with a 14-day free trial. License Keys are available for purchase for $49 during the Early Access phase, with a price increase at the launch of V1.

Media Contact:
Gary Smith, Founder
hello@memorandai.com

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