AI Context Engine

One context engine. Every AI.

Persistent context from GitHub, Notion, and your decisions, plus the right skills for your stack, automatically. Delivered to Claude, Cursor, ChatGPT, VS Code, and any MCP-compatible client.

NO COPY-PASTE. NO RE-EXPLAINING. SAVE TOKENS. SAVE TIME.

Connect once, every AI knows your project.

Official MCP Connector · Free to start · AES-256-GCM encrypted · GDPR ready

Works inside your AI chats — no new app to open.

Claude logo
Claude
Gemini logo
Gemini
VS Code logo
VS Code
Cursor logo
Cursor
ChatGPT logo
ChatGPT
Antigravity logo
Antigravity

Where MEMXUS sits in your stack

Not another chatbot — the shared layer between your AI tools and your data.

Diagram showing AI tools saving memory through MEMXUS (remember), GitHub and Notion syncing into storage, cloud memory, and other tools recalling that memory (recall), with dashboard control.

Persistent context

Cloud context

Save from anywhere

Claude
ChatGPT
Slack
MEMXUS

Portable context engine

MCPAPIOAuth

Recall anywhere

Claude
Cursor
Gemini
remember·recall

Sync from your stack

GitHub

Repos, PRs, commits

Notion

Pages & docs

sync

Your context

Persistent · Private · Editable

Dashboard · Notebook

View, edit, delete anytime

Remember (save)
Sync (connectors)
Recall (use elsewhere)

The impact of shared memory

Measurable savings in time, tokens, and team consistency — across every AI your team uses.

Daily friction

Devs re-explain their project to every AI they use — every single day.

Context reuse

~1,500

tokens of context reused per session

Measured on real product usage. In multi-turn sessions, this saving compounds every turn.

Token savings

Up to 90%

Fewer tokens per session

Only relevant context is sent — no duplicate memory bank on every call.

Team onboarding

2–3 days

vs 2–4 weeks without Memxus

Day one, their AI already knows everything the team has saved.

Built with privacy at its core

Your context is yours. Not ours.

Every major AI provider is building their own memory — and locking your context inside their platform. Memxus is different: your context is encrypted, portable, and owned by you.

Official MCP Connector

Official MCP Connector

AES-256 encryption

AES-256-GCM encrypted

GDPR Ready

GDPR Ready

Private encrypted context

Only you can read your memories

Your AI tools don’t share context

You explain something to ChatGPT. Claude doesn’t know it. Cursor doesn’t know it. Slack doesn’t know it. Every tool starts from zero.

Repeated context

You keep explaining the same projects, preferences and decisions again and again.

Fragmented AI workflows

Each AI assistant has its own memory, its own context and its own blind spots.

Lost decisions

Important project details disappear across chats, tools and teams.

Three steps. Permanent context.

Connect your sources, ask any AI, and activate the right skills — without re-explaining your project every session.

STEP 01

Connect your sources

Sync your GitHub repo and Notion workspace. Memxus reads commits, PRs, issues, docs, and decisions. Your real work becomes persistent AI context — automatically.

STEP 02

Ask any AI

Open Claude, Cursor, or ChatGPT. Every AI gets a complete picture of your project — stack, architecture, conventions, recent changes, open issues. No re-explaining. Ever.

STEP 03

Activate the right skills

Memxus analyzes your project and suggests official AI skills matched to your stack. One click to activate. Your AI doesn't just know your project — it knows how to work on it.

Memxus is not a memory tool. It's a context engine.

Memxus understands what you build — from GitHub, Notion, and your real work sources.

Build

Memxus reads your real work sources — GitHub repos, Notion pages, PRs, commits — and constructs persistent AI context automatically. No manual notes. No copy-paste.

Deliver

That context travels to every AI tool you use. Claude, Cursor, ChatGPT, Gemini — all working from the same source of truth, in every session.

Activate

Memxus analyzes your stack and surfaces the right official AI skills for your project. Not generic suggestions — skills matched to what you're actually building.

Beyond productivity

Every token saved is real-world impact.

80–90% of AI's energy footprint comes from inference — not training. Memxus removes redundant queries before they reach a data center.

50ml

of water can evaporate per AI response for server cooling. Memxus eliminates the redundant ones.

UC Riverside · arXiv:2304.03271

+267%

electricity price jump in 5 years near major data-center hubs — paid by families who may never use AI.

Bloomberg · 2025

1.3B

people: by 2030 AI's water footprint will match the basic annual needs of all Sub-Saharan Africa.

UN University · 2026

You control your memory

Memxus is designed around transparency, editing and user control.

  • View everything that has been saved
  • Edit or delete any memory
  • Use temporary mode when you don’t want persistence
  • Control connected tools and integrations
  • Export your memory when needed

Memory Notebook

Project: Memxus

Stack: Next.js, Supabase, MCP

Preference: Short, practical answers

Status: Editable

EditDeleteDisable

FAQ

No. Memxus is not a chatbot. It is a portable context engine that helps your existing AI tools understand your project automatically.

No. Memxus is designed to work through MCP, API and native integrations. A browser extension can exist later as an optional adapter, but it is not required.

Yes. You can view, edit, delete and disable saved memories from your memory notebook.

Temporary mode lets you use AI tools without saving that conversation or context as long-term memory.

Memxus is for developers, founders, teams and AI power users who work across multiple AI tools and want continuity between them.

No. Memxus works with them. It gives your existing tools a shared context engine built from your real work sources.

Yes. Memxus is MCP-ready with nine core remote tools (plus optional v2 connect and skill tools), and supports API integrations for tools that do not speak MCP.

Stop starting from zero

Connect your AI and build a context engine that follows your workflow.