Multiply your productivity by giving your AI the right context.
Save what matters. Find it in seconds. Give every AI the exact context — and get better answers, instantly.
Stop repeating yourself. Memxus saves your context. Ask once. Search your docs, files and decisions instantly. No more hunting through 5 tools to remember why you chose X.
Official MCP Connector · AES-256-GCM encrypted · GDPR ready
Works inside your AI chats — no new app to open.
Where MEMXUS sits in your stack
Not another chatbot — the shared layer between your AI tools and your data.
Save from anywhere
Context Engineering
Recall anywhere
You control
Dashboard · Notebook
View, edit, delete anytime
The evidence
Context wins twice.
Once when your team finds it. Again when your AI uses it.
Your team stops searching
The cost of scattered context — measured for over a decade.
~20%
Of the average knowledge worker's week goes to searching for internal information or tracking down the colleague who has the answer. That's nearly a full day, every week.
-35%
The same McKinsey research found that a searchable record of company knowledge cuts information search time by up to 35%. That's not a Memxus claim — that's the documented mechanism Memxus implements.
31%
Of developer time is now consumed by invisible work — reviewing AI-generated code, fixing bugs, and switching context between tools. AI didn't solve the context problem; it added to it.
Harness · State of Engineering Excellence 2026 · May 2026 · n=700, 5 countries
48%
Of developers name 'explaining AI-generated code to teammates' as a top source of friction — a shared-context problem, not a tooling problem.
Your AI stops guessing
Google's DORA research on what actually makes AI pay off.
1 of 7
DORA names 'AI-accessible internal data' as one of seven capabilities that amplify AI's value — and calls it a statistically significant multiplier for individual effectiveness and code quality. Memxus is that capability, as a product.
ROI model
DORA's 2026 report maps how value actually flows: AI adoption → seven capabilities (including AI-accessible internal data) → delivery metrics → developer experience → cost savings and revenue. Context isn't a nice-to-have in the model. It's a load-bearing step.
DORA (Google Cloud) · The ROI of AI-assisted Software Development · Apr 2026
3%
Of developers highly trust AI output — just 2.5% among experienced ones — while 46% actively distrust it, up from 31% the year before. Adoption is solved. Trust is the gap, and trust is earned with context.
Stack Overflow Developer Survey 2025 · n=49,009, 160 countries
-19%
A randomized controlled trial found experienced developers were 19% slower with AI on their own repos — while estimating they'd been 20% faster. Without project context, AI can cost more than it saves.
Measured Feb–Jun 2025 with early-2025 tools. METR revised its study design in Feb 2026 and now believes developers are likely more sped up with current tools. Cited here as evidence of the mechanism, not of today’s magnitude.
What this means for your team
The industry spent a decade measuring the cost of scattered context. Google spent two years measuring what makes AI pay off. Both point at the same thing: one place where your team's context lives, accessible to every person and every AI. That's the whole product.
We don't publish a combined multiplier. The two effects above measure different things — human search time and AI output quality — and multiplying them would be marketing, not math.
The impact of shared context
Less friction, less repeated context, and faster ramp-up — 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 reuse compounds every turn.
Recall on demand
On demand
only the relevant context is sent
No duplicate memory bank pasted on every call — each AI pulls just what it needs, when it needs it.
Team onboarding
Day one
a new hire’s AI already knows the team’s decisions
Context that used to take weeks of catch-up is available in every AI from the first session.
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
AES-256-GCM encrypted
GDPR Ready
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.
+267%
electricity price jump in 5 years near major data-center hubs — paid by families who may never use AI.
1.3B
people: by 2030 AI's water footprint will match the basic annual needs of all Sub-Saharan Africa.
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
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.