One Workspace.
Many AIs.
MetaCloud Workspace · Bridge API · MCP Connector · Multi-AI access
MetaCore is not another AI assistant and not a single-AI add-on — it is a multi-AI layer via API + MCP Connector. It is an operational layer of contextual reflection that connects via API and MCP Connector to ChatGPT, Claude, Grok, Gemini, Mistral, Open WebUI, agent systems, business processes, Smart Home, IoT and other automated environments.
MetaCore gives different AIs a shared contextual core: a Workspace where projects, files, tasks, decision history, reflections, handoffs and long-term continuity are stored.
You can start without pressure: in Guest mode you get +50 KR to test. Registration gives +150 KR, and registration via referral invite — +250 KR to your MetaCore wallet.
MetaCore changes AI operating logic.
From one-off answers to continuous work.
Typical AI usually works within a single query: it gets a question, generates an answer and moves on.
MetaCore adds a contextual reflection layer. AI can see a wider workspace: what is already decided, which files and tasks matter now, where the project is heading and what needs to continue next.
The start is not purchase. The start is understanding: you try Context Engine, see how context works, then decide if you need Workspace, MetaCloud and continuity.
Try → understand → connect Workspace → continue work.
The problem is not lack of information.
The problem is fragmented context.
Today, a person has many conversations, documents, notes, plans, relationships, decisions and internal impulses. But all this is often scattered: thoughts in one place, files elsewhere, conversations elsewhere, and the history of decisions remains unclear.
MetaCore helps not to "have more AI" but to restore the connection between context, memory, patterns and human judgment. When you see your context map, it is easier to understand what is repeated, where there are blind spots and which action should be chosen more consciously.
The same scenario. A different operating layer.
Delta scenarios show how MetaCore differs from a plain strong AI answer. Standard AI often gives good advice. MetaCore turns the same scenario into decision architecture: gates, roles, risks, scenario tree, communication and a continuity cycle.
One backbone. Different public layers.
MetaCore does not only answer — it organizes the situation. Below — live product domains (MVP). All connect through the same Engine and Activate backbone.
Engine
Symbolic and operational context — publicly Engine, not the Context Engine brand.
Open Engine →Delta scenarios
Tas pats scenarijus. Kitas sluoksnis. Baseline vs Layer 3 palyginimas.
Delta scenarios →Love
Relationship dynamics and communication clarity — reflection, not horoscope.
Open Love →Operators team
Team activation, loyalty and a clear growth path.
Operators team →Academy · AI
Webinars, operator training and a human layer alongside AI.
Academy · AI →Energy
State coherence: rhythm, environment, attention — not medicine.
Energy →Signal → Context → Structure → Action → Continuity · Activate · Context
MetaCore — an external AI coherence layer.
A simple AI chat often ends when the session ends. Next time you need to remind the AI who you are, what you did, your goals, the situation, and decisions already made.
MetaCore works as an external Persistent State layer: it keeps context, profiles, workflow, memory, modules, and rules independent of a single chat window.
How does it work?
Context Engine helps you move past the vague feeling of "something repeating itself" to a clearer context map: themes, patterns, scenarios and more conscious human decision-making.
You start from a context profile: you lay a model, rhythms and a reflection map — not a forecast, but clearer seeing.
Relationships, reactions, decision conflicts, and blind spots become visible as recurring patterns in the context.
Can test cycles, relationship analysis, scenario simulation, team dynamics and AI reflections.
If limited use is enough, you stay with credits. If you need work space and continuity — activate MetaCloud.
Starter capital for Context Engine testing
The MetaCore operators team loyalty program provides starter credits so you can test modules in practice, not just in theory.
Enter Engine without an account and get an initial balance to try first modules.
Create an account directly — welcome bonus for profile and Context Engine module trials.
Registruojantis per referral: +150 KR welcome + +100 KR referral bonusas naujam nariui.
When a new member registers via your referral code, the loyalty program tops up your wallet.
Internal service balance for MetaCore / Context Engine modules, reports, context runs and services.
What is worth trying first?
Not everything needs to be understood at once. Start with one or two modules and see what practical value you get.
Reflection Profile
An initial context map: active themes, internal rhythms, decision tensions and blind spots.
Create profile →Laiko ciklai
It helps to see when certain topics are active and what decision windows open at different periods.
Check cycles →Relationship dynamics
Analyzes communication patterns, frictions, strengths and communication logic between two people.
Check relationship →Scenario simulation
Helps to model possible choice paths, consequences and more conscious options for action.
Model scenario →Komandos kontekstas
Group dynamics, roles, rhythms, friction of decisions and common field of operation for the team.
Check team →AI refleksija
Not a prophecy and not a diagnosis — a layer of reflection that helps to understand the situation more clearly.
Start with profile →
Do the same scenarios keep repeating in your life?
Relationships, decisions, tensions, opportunities and inner impulses often move not at random, but according to recurring context patterns.
The reflection profile helps you create your initial context map: see active themes, blind spots, decision windows and inner rhythms. This is a reflection map, not a prediction of the future.
MetaCore does not replace human judgment, a doctor, psychologist or lawyer. It is an interpretive context tool for reflection and more conscious choices.
How many KR do modules cost?
Every Context Engine action uses KR — MetaCore credits from your wallet. Below are active module prices per run. With starter balance (+50 Guest, +150 or +250 KR after registration) you can test several core layers without an extra top-up.
This table is for transparency: so you know the KR cost before launching a module. We recommend starting with the Profile Context base, then moving to relationship, time, scenario or team layers.
KR — MetaCore credits. Context Engine — the context analysis layer. Profile Context — your personal context map where birth data may be used only as an additional reflective layer. Module — one analysis, reflection, or scenario run.
| Module | KR | Area | What is it? |
|---|---|---|---|
| Time-period context daily signals | 2 KR | Time | Themes for today or the near period: what activates, what to watch, and where an action window may open. |
| Numerology layer additional symbolism | 2 KR | Symbols | An additional symbolic layer from birth date. Used for reflection, not as diagnosis or decision authority. |
| Context Engine launch base action | 2 KR | Engine | Base Context Engine run: the system prepares data and structure for follow-up modules. |
| Profile Context base initial map | 3 KR | Profile | Initial personal context map: identity, rhythms, core themes, and first reflective signals. |
| Interaction map inner dynamics | 3 KR | Profile | Shows how profile elements work together: where tension, support, repetition, and growth points appear. |
| Targeted context action intervention | 3 KR | Engine | A focused launch for a specific situation, question, or decision point in profile context. |
| Report space report hub | 4 KR | Reports | A place to store, review, and compare generated analysis reports. |
| AI insight expansion deep decode | 5 KR | AI | AI explains existing results in more depth: it does not create a new profile, but unfolds current context in clearer language. |
| PDF report | 5 KR | Reports | Export results to PDF — for archive, sharing, consultation, or printing. |
| Extended Profile Context deeper layer | 8 KR | Profile | A broader profile context: rhythms, active themes, blind spots, strengths, and reflection directions in one view. |
| Relationship context 2 people | 8 KR | Relationships | Two-person interaction map: shared themes, friction points, relationship rhythm, and dialogue prompts. |
| Pair dynamics dyad | 8 KR | Relationships | Daily interaction model of two profiles: how people complement each other and where tension emerges. |
| Year-cycle context 12-month directions | 10 KR | Time | Themes, action windows, and reflective directions for the next 12 months. Not a prediction, but a cycle map. |
| Development-cycle context long-term dynamics | 10 KR | Time | Longer-term development themes: how focus, responsibilities, sensitivity, and growth direction evolve. |
| Scenario simulation what if? | 15 KR | Scenarios | Situation modeling: possible paths, choice consequences, risks, resources, and the first action lever. |
| Team scenario 3+ people | 25 KR | Team | Group or team context map: roles, responsibilities, rhythm, decision flow, and coordinated action. |
MetaCloud 1 GB (1 250 KR/mo.nth) — an active subscription gives a private workspace, continuity, and core manual module launches without KR deduction (see Path B).
Current KR amounts are always shown in your wallet before action confirmation. Admin may adjust module pricing by system version, resources, and active package scope.
Reflective layers are not a diagnosis, prediction, or automatic decision authority. They are intended to help you see context more clearly, ask better questions, and choose the next action more responsibly.
Who is MetaCore for?
MetaCore can start with a single person's profile, but grow to a family, team, class, project or organization.
For self-awareness, clarity of decisions, seeing repeating patterns.
Start →Shared context, plans, relationships and daily clarity at home.
Learn more →Classroom dynamics, educational context, less stress and more structure.
For teachers →Coordination, decisions, team coherence and the common field of context.
For business →Group rhythm, roles, decision windows and operating scenarios.
Team →Collective memory, situation mapping and group scenario analysis.
Team →When you understand the core — you choose a path
First you try, then you choose. Some have enough credits for individual actions, others need the MetaCloud work layer with Continuity and OfficeSpace.
Naudok kreditus ribotiems veiksmams
Suitable if you want to manually perform individual context runs, profiles, reports, relationship analyzes or scenario tests.
Kaip veikia kreditai →MetaCloud 1 GB · kai reikia darbo sluoksnio
Active MetaCloud unlocks 1GB of OfficeSpace, file uploads, a continuous layer of AI work and basic manual context runs without credit write-offs.
Learn about MetaCloud →This is not a theory. This is the working layer where AI has context.
MetaCore isn't just a nice promise about the "future of AI." This is a real environment, which combines profile, portal, memory, modules, credits, MetaCloud workspace and continuous AI operation between sessions.
The basic idea is simple: AI doesn't have to start from scratch every time. It needs to know who you are, what context you've already created, what modules you've tried and in which place it is worth continuing.
One Workspace. Many AIs.
With a MetaCore package you can connect different AIs to the same MetaCloud Workspace. ChatGPT, Claude, Grok, Gemini or other models can work with the same context, the same files, projects, tasks and work history.
MetaCore connects models into one workspace. It creates an operational cognitive coherence layer where different AIs join the same MetaCloud Workspace, instead of staying separate chat windows without shared memory.
ChatGPT, Claude, Grok, Gemini and agents in one MetaCloud Workspace.
With MetaCloud 1GB, Bridge API and MCP Connector different AIs can connect to a shared workspace where project directions, files, tasks, decisions, handoffs and long-term context live.
Does the AI start from scratch or continue working with you?
The difference isn't just in features. The difference is in the continuity. Without context, AI becomes a one-time conversation. With MetaCore, it becomes a working system.
The AI switches from a one-time response to a continuous mode of operation.
MetaCore isn't just changing what AI remembers. It changes the working mode itself: from single conversation to context, memory, profile, modules and sequential action.
Kai reikia daugiau nei paprasto asistento.
MetaCore can grow from personal Context Engine testing to specialized scenarios: analysis of leadership programs, team dynamics, human relations, decision simulations, education, organization and process monitoring.
MetaCore starts with one person but can grow to an entire workspace.
Usually the start is simple: one person creates a profile, tests the Context Engine, checks the modules and sees that AI can work not in fragments, but through a continuous context.
When the difference becomes clear, the same principle can be extended to: family, project, for a team, a class, a sports group, a consulting practice or a working layer of an organization.
MetaCore doesn't count people, it counts the activated workspace.
☁ MetaCloud 1GB sluoksnyje pagrindinis vienetas yra ne „vienas vartotojas“, one private MetaCore workspace. It has memory, context, OfficeSpace, modules, file layer and continuous AI operation.
First you try.
Then you connect a layer.
MetaCore does not need a hundred vague words. The path is simple: start in Guest mode, try Context Engine modules, get starter KR, and when you need continuity — activate MetaCloud 1GB and connect your AI to a shared Workspace via a Bridge key.
Get to know each other
Supranti, kas yra MetaCore: kontekstas, atmintis, profilio sluoksniai, scenarios, relationships and human decision.
You try the Context Engine
You create your first reflection profile, try base modules and see what the system can show about your work or life context.
You get starter KR
Guest mode gives +50 KR for testing. Registration — +150 KR. Registration via referral invite — +250 KR to your wallet.
Choose a path
You use KR for limited module actions or activate MetaCloud 1GB when you want a permanent AI workspace, files, handoffs and session continuity.
Test with KR
Good for starting: profiles, time context, relationship modules, scenario simulations and base insights based on KR balance.
Activate MetaCloud 1GB
Good for continuous work: one Token key, one Workspace, many AI sessions working with your files, projects and long-term context.
Konteksto intelektas veikia per modulius.
The MetaCore Context Engine combines profile context, human understanding, relationship dynamics, decision logic and scenario simulation into one continuous work system.