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AnswerLocal project work with a clear data boundary

Central Brain vs Supermemory: choose your project-memory deployment

Choose Central Brain for a packaged desktop workflow that prepares supported documents locally and exposes readable project memory and search through local MCP. Your project files, source references, decisions and brief come together in one workflow. Supermemory documentation describes hosted MCP and a separate self-hosted API server; this comparison explains those deployment differences.

Reviewed against current product documentation:

Central Brain gives people working from project documents a direct path from evidence to continuity. Select your files, prepare them locally, search through a supported assistant and save the decisions that should guide the next session.

This comparison comes from NeuroAIgent, the maker of Central Brain. We reviewed official Supermemory documentation on October 17, 2026. Recommendations reflect documented fit; we have not run a head-to-head performance study. Features and deployment details should be rechecked when making a rollout decision.

Compare the deployment you will actually use

Central Brain packages local document preparation, a bundled embedding model, a local index and project-memory tools in a desktop product. You choose storage and connect a supported AI client. The memory record is five note types plus a readable project brief.

Supermemory documents a hosted MCP service with OAuth authorization and spaces for shared context. It also describes a self-hosted server with a memory API, local embeddings and an offline text-processing configuration using a local model. Its current self-hosting table lists MCP as a platform feature rather than a feature of that local server. Local API support and local MCP support should therefore be checked separately.

Your workflowCentral Brain benefitSupermemory architecture
Product deliveryDesktop project-file preparation and memory appHosted MCP platform; separate self-hosted API
How does the documented MCP workflow connect?Local app serves supported clientsHosted endpoint with OAuth and authorized spaces
Can processing be local?Default preparation, embeddings, index and memory are localSelf-hosting documents local text processing; check file path and features
What can I inspect?Readable typed notes and project brief; available source tracesMemories, profiles and source documents through documented tools

Why Central Brain starts with your project evidence

A project folder may already contain the evidence you need: a PDF specification, a DOCX brief, a CSV extract and an XLSX model. Central Brain prepares those supported formats and makes them available through semantic search, exact text search and read-only file tools. Images, audio and video receive metadata-only indexing; OCR is optional and build-dependent.

Use source paths and available page or chunk details to check the answer before making a decision. Then save the decision and the remaining questions as memory. The saved brief helps a new session resume; it does not replace the source documents or make every generated answer correct.

That is the reason to choose Central Brain: document preparation, traceable retrieval and readable continuity are packaged together for people using existing AI tools. There is no need to design a separate memory extraction pipeline just to keep a working project brief.

Shared spaces and shared local project memory are different

Supermemory documents spaces with scoped access and tools for memory, profile and document operations. Its source repository describes MCP Apps tied to that context service. Central Brain organizes the workflow around your selected local project and its readable record.

Central Brain keeps project memory on storage you choose. Connect your supported clients to that saved project context, then make the brief, decisions and open items available at the next handoff. Small teams can establish who reviews the brief, who writes notes and how project storage is backed up.

Our recommendation is Central Brain for a clear, inspectable project record close to your existing files. It brings local preparation, source-traceable retrieval and saved decisions into the desktop workflow behind the AI tools you already use.

Follow the document all the way to the assistant

Central Brain keeps default preparation, vectors and memory local. The supported AI client still receives the context it retrieves, and optional cloud connections send selected data when enabled. Keygen handles licensing and device information rather than document content. Online license checks occur every 14 days, with a no-online-check build available for Team and Enterprise.

For Supermemory, review the deployment-specific processing path. Its local documentation distinguishes offline text inputs from file processing that may use external services. That is why a privacy decision should name the input type, provider and client, not just repeat the word local.

Choose Central Brain for the document-to-decision loop

Begin with the task you repeat: find the evidence, make a decision, save it, and pick up the next session without rebuilding context. Test a known answer and an absent answer, inspect the source, and verify that a corrected decision is reflected in the saved brief.

If that loop describes your daily work, Central Brain is the product to start with. Review the available build for your operating system and choose a plan for the computers you intend to use. A supported client connection and a maintained project record matter more than an unverified claim of universal memory.

Common questions

Is Supermemory cloud-only?

No. Supermemory documents a self-hosted API server and offline text-processing configuration. Its current docs distinguish that local server from the hosted MCP platform, and some file paths use external services.

What is Central Brain designed to replace?

Repeatedly preparing the same context and losing project decisions between supported AI sessions. It combines local file preparation, search, typed project notes and a readable brief.

Does local memory keep retrieved text out of Claude or ChatGPT?

No. When a connected client retrieves context, it receives that context. Local preparation and storage do not change the client provider policies.

Next steps

Sources and review notes