Project state
Current status, next actions, constraints, open questions and the history that explains how a project got there.
MEMORITAS
Your work should remember.
Persistent AI memory for projects and shared spaces.
Memoritas turns scattered conversations, decisions, sources and project state into durable, governed context that can be recalled across sessions and reused by compatible AI tools.
Built around continuity, provenance, shared boundaries and user control.
Project continuity
Personal + Shared Spaces
Evidence-aware memory
Provider-neutral context
In short
What is Memoritas?
Memoritas
Memoritas is a persistent memory and context layer for AI-assisted work. It keeps the knowledge that matters beyond a single chat: current project state, decisions, reusable work products, evidence, constraints, source references and selected user preferences. That context is organized into personal or shared spaces and can be retrieved later by compatible AI clients, instead of being reconstructed manually every time.
PersistentKnowledge survives individual sessions.
Project-awareContext is tied to real projects and current state.
GovernedSources, evidence, history and boundaries remain inspectable.
What it remembers01 02 03 04 05 06
More than notes. The context behind the work.
Memoritas separates different kinds of memory so an AI can retrieve the right context without flattening everything into one undifferentiated archive.
Decisions & evidence
What was decided, why it was decided, which sources support it, and where evidence conflicts or qualifies a claim.
Reusable work products
Research syntheses, analyses, plans and durable outputs can be reused in later sessions instead of recreated.
Personal context
Stable preferences and interaction context can remain private to the individual rather than leaking into shared work.
Shared knowledge
Selected projects and knowledge live in shared spaces with explicit membership and authorization boundaries.
Time-aware knowledge
Memoritas can distinguish what is current, what was true before, and what has been superseded without erasing history.
Why it is different
Memory infrastructure, not another chat silo.
Most AI memory experiences optimize one narrow layer: a single assistant, a note archive, a vector store or a project workspace. Memoritas combines continuity, project structure and controlled sharing without making one AI provider the owner of your long-term context.
Typical AI memory
Lives inside one assistantSingle-layer context
Flattens context into chat history or notesSingle-layer context
Project status must be reconstructedSingle-layer context
Sharing is broad or app-specificSingle-layer context
Sources become detached from conclusionsSingle-layer context
Memory may be silently rewrittenSingle-layer context
Memoritas approach
Provider-neutral context layerDurable + inspectable
Separates source memory, decisions and work productsDurable + inspectable
Maintains explicit current state for projectsDurable + inspectable
Personal and Shared Spaces remain boundedDurable + inspectable
Evidence and provenance stay connectedDurable + inspectable
Preserve-first: destructive changes are not the defaultDurable + inspectable
How it works01 02 03 04
Capture once. Resume with context.
Capture
Bring in conversations, notes, web references or file references without requiring every original byte to be duplicated.
Structure
Turn useful content into durable memory: sources, decisions, work products, evidence, temporal facts and project state.
Organize
Keep private information in personal context and publish selected knowledge into shared spaces or projects.
Recall
Compatible AI clients retrieve a bounded context pack and continue from the relevant state instead of starting cold.
Projects & shared spaces
One project memory. Clear boundaries for everyone.
A long-running project should not depend on one person remembering what happened in the previous chat. Memoritas gives each project a durable current state while Shared Spaces let selected members work from the same approved context. Personal memory remains separate unless something is intentionally published or associated with shared work.
Contact usPersonal SpacePrivate memory and user context
Shared SpaceShared area for authorized members
ProjectCurrent state, decisions and work products
MEMORITAS
CONTEXT
CONTEXT
Simple to use01 02 03
Persistent AI memory, without software to install.
Your memory is not tied to one computer. Memoritas runs centrally on the web: people do not need dedicated Memoritas software installed on their devices, and can continue working with projects, spaces and persistent context through compatible services and AI assistants.
Nothing to install on every device
Memoritas does not need to be configured on each PC. A browser and compatible services are enough to access the central environment.
One environment, continuous memory
Memory stays centralized and persistent. Changing computers or using another compatible AI assistant does not mean starting from scratch.
Standard web hosting
Memoritas is designed to run on standard web infrastructure compatible with PHP and MySQL, without requiring dedicated software on every user's device.
In simple terms
An organization can keep Memoritas in one web environment while people and compatible AI assistants use the same persistent context, with clear boundaries between personal memory, projects and shared spaces.
Built for retrieval
Designed to answer the questions people actually ask.
Instead of requiring exact filenames, dates or record IDs, Memoritas is designed for natural recall: “Where did we leave this project?”, “Why did we choose that approach?”, “What changed since last time?”, or “Which source supported that decision?” The goal is continuity with provenance, not just storage.
FAQ
Questions about persistent AI memory
Is Memoritas an AI second brain?
Yes. Memoritas addresses the same need as an AI second brain: keeping knowledge and context beyond a single conversation. The difference is that Memoritas is built around projects, current state, decisions, evidence, work products and authorized sharing rather than primarily around personal notes.
How is Memoritas different from the built-in memory of an AI assistant?
The built-in memory of one assistant remains tied to that service and its rules. Memoritas is designed as a provider-neutral persistent memory layer, organizing context around people, projects and shared spaces so compatible AI clients can reuse it.
Does Memoritas require software to be installed on users' computers?
No. Memoritas is designed to run centrally in a compatible web environment. It does not need to be installed on every computer: one environment can serve multiple users, projects and shared spaces while keeping persistent memory in one place.
Can Memoritas run on standard web hosting?
Yes. Memoritas is designed to run on standard web infrastructure compatible with PHP and MySQL. This makes it possible to keep the memory environment centralized instead of distributing dedicated software to every device.
What is persistent AI memory?
Persistent AI memory is context stored outside a single prompt or session so it can be retrieved later. In Memoritas, this can include project state, decisions, evidence, source references, work products and stable user context.
Is Memoritas a note-taking app?
Not primarily. Notes can be captured, but the core purpose is to preserve durable context and make it reusable by AI-assisted workflows across time, projects and compatible clients.
Can Memoritas work with more than one AI?
Memoritas is designed as a provider-neutral memory layer and exposes memory through MCP-compatible interfaces, so long-term context is not conceptually tied to one assistant.
What is the difference between a Project and a Shared Space?
A Project holds the continuity of a specific body of work: current state, decisions, constraints, history and reusable outputs. A Shared Space defines who is authorized to access selected shared knowledge and projects.
Does Memoritas copy all of my original files?
Its architecture is reference-first for external sources: original files can remain in their existing location while Memoritas stores provenance, references and the durable knowledge derived from them. Specific capture workflows may store content when explicitly intended.
What is MCP?
Model Context Protocol, or MCP, is an open protocol that lets compatible AI clients connect to external tools and data sources. Memoritas uses this model to make memory available beyond a single chat interface.
Can AI silently merge or delete my memories?
Memoritas follows a preserve-first approach. Potential clean-up, overlap or organization work can be proposed without making destructive rewriting the default behavior.
Is Memoritas useful for shared projects?
Yes. Shared Spaces and project continuity are designed so authorized people and compatible AI clients can work from the same durable project context while personal context remains isolated.
Contact
Want to know more about Memoritas?
Tell us what kind of personal, project or shared-memory workflow you are considering. We will reply by email.