Memory across channels and sessions
Most assistants reset every time the channel changes. Carmen keeps one operating context across email, texts, Slack, calls, calendar, files, and future sessions.
Carmen is the AI executive assistant platform for people who need an assistant that remembers context, works across channels, and acts in the real world with configurable permission rails.
Problem
Most AI agents operate in isolated sessions. They lose context, forget preferences, miss prior decisions, and treat every channel like a separate world.
Carmen gives your assistant one persistent operating context.Your email, messages, files, contacts, calendar, to-dos, and dashboard feed the same memory.
Differentiation
Most assistants reset every time the channel changes. Carmen keeps one operating context across email, texts, Slack, calls, calendar, files, and future sessions.
Your assistant can send email, schedule meetings, retrieve files, maintain to-dos, follow up, and coordinate through the tools you already use.
Carmen is installed around your workflow, tool stack, preferences, permissions, and operating style instead of leaving you with a pile of setup screens.
Run on-prem in your home or office when you want more privacy, lower long-term operating cost, and less dependence on hosted black boxes.
Carmen is built for messy real stacks. If your work depends on a niche app, private API, spreadsheet, CRM, or internal workflow, we can connect it.
Your assistant can have a name, voice, preferences, judgment, and permission rails for taking initiative without becoming another dumb chatbot.
How Carmen works
One assistant. One memory. Across every channel, workflow, and integration.
Email, text, files, calendar, meetings, notes, to-dos, CRM, custom tools, and on-prem deployments all feed the same Carmen brain.
An important email comes in. Carmen knows Investor Adam matters and preserves the request in the same context as everything else.
Memory graph
Investor Adam needs the updated model.
Investor Adam asks for the updated model.
Can you send the latest projections before our call?
Same person. Same context. Every channel.
Text + files
02The assistant connects Adam's request to the right model, queues the response, and asks before sending if your rules require it.
Memory graph
Investor Adam needs the updated model.
Text + files
Carmen sees the email, finds the right file, and texts you.
Adam asked for updated projections. I have the email queued with the June 1st model. Want me to send it?
Same person. Same context. Every channel.
Email + calendar
03Once approved, Carmen sends the model and offers to put time on the calendar to discuss the assumptions live.
Memory graph
Investor Adam needs the updated model.
Email + calendar
Carmen emails Adam and offers a live review.
Sent the June 1st model. Want me to schedule a 20-minute investor review with Adam?
Same person. Same context. Every channel.
Meeting
04The assistant joins the Google Meet or Zoom, listens by default, and keeps the model, email, calendar, and relationship context together.
Memory graph
Investor Adam needs the updated model.
Meeting
Carmen sits in the virtual meeting.
Investor Review with Adam — Google Meet, Thu 2:00 PM
Same person. Same context. Every channel.
Notes + tasks
05Meeting notes are converted into obligations, relationship context, and follow-up tasks that stay alive after the call ends.
Memory graph
Investor Adam needs the updated model.
Notes + tasks
Commitments become action items.
Charlie owes Adam revised projections. Due Friday.
Same person. Same context. Every channel.
Follow-up
06The assistant can attach the right file, write the follow-up, and ask for approval when your rules require it.
Memory graph
Investor Adam needs the updated model.
Follow-up
Carmen drafts the response.
Draft ready with revised projections attached.
Same person. Same context. Every channel.
Relationship Memory
07Carmen updates what happened, why it matters, and what comes next for this person.
Memory graph
Investor Adam needs the updated model.
Relationship Memory
Adam becomes a richer relationship record.
Adam: investor, high priority, waiting on revised projections.
Investor Adam
Investor
High priority
Last interaction: Meeting
Open item: Revised projections
Custom Integration
08When your workflow needs something special, Carmen can be personally configured and extended.
Memory graph
Investor Adam needs the updated model.
Custom Integration
The workflow extends into your private tools.
Updated investor pipeline in your internal tracker.
Investor Adam
Investor
High priority
Last interaction: Meeting
Open item: Revised projections
Final state
Every channel feeds the same memory. Every action updates the same context. Carmen does not start over when the conversation moves.
Capabilities
Carmen is built to operate across the channels and tools where executive work actually happens, then remember the context when the work moves somewhere else.
Texting, iMessage, Slack, Discord, Telegram, and phone calls can all feed the same memory instead of becoming separate conversations.
Carmen can triage, label, archive, draft, send, search, and learn your urgency rules across Gmail and Outlook.
Create meetings, reschedule, add or remove attendees, cancel with notes, and remember recurring scheduling preferences.
Carmen can sit in Google Meet or Zoom, listen by default, respond when addressed, and route longer answers to Slack, email, or text instead of speaking too much.
Ask for a file naturally. Carmen can find it, prepare it, summarize it, attach it, organize it, share it, and remember why it mattered.
Carmen tracks open loops, creates follow-up tasks, watches them until done, and can take initiative within the permission rails you set.
Carmen understands people, not just messages: who they are, recent activity, promised follow-ups, VIP status, and relationship context.
Carmen can search the web, look up places, plan routes, add maps context, and bring research back into the same working memory.
Carmen can work with knowledge bases, helpdesks, CRMs, notes, and internal systems so execution does not stop at your inbox.
If the tool matters to your work, Carmen can usually be configured around it, including private APIs, local connectors, and home or office deployments.
In-home hosting
Carmen can run from a dedicated box in your home or office, keeping more of the assistant loop under your control while reducing dependence on always-rented cloud compute.

Security
Carmen is designed for useful autonomy without forcing blanket trust. Approval is optional, initiative is configurable, and sensitive actions can stay behind rails.
Request access, name your assistant, and expand into custom workflows, private integrations, and on-prem deployment as your operating system gets sharper.
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