Isn't this just ChatGPT with a system prompt?

A system prompt changes how a model talks. It doesn't add an intake step, nine typed domains, per-agent access, or a zero-retention mode enforced in code.

ChatGPT already remembers me. Why would I need this?

It does, and it got better at it in 2026. But remembering you and knowing which part of you a question is about are different problems. Only the first has been worked on.

Can it manage my inbox or calendar?

No. No integrations, no automations, no tasks. If that is what you want, OpenClaw is better at it and it isn't close.

Can I host it myself?

No. Your profile lives in our database, encrypted with a key that is yours. If self-hosting is non-negotiable, this is the wrong product.

Is there a free tier?

A trial, and intake never costs anything. The agents run on credits.

Do I have to start from scratch?

No. Upload a MEMORY.md or a text export during onboarding. Daiven shows you what it pulled out. You pick what's kept.

What if it gets something about me wrong?

Tell it. Say what changed or what it misread, and an agent edits your profile with you. Nothing in there is revised without you.

Is my data used to train AI models?

No. Not by us, and not by the providers whose models we run — API traffic is excluded from training. We use aggregate usage statistics.

Why does it ask questions before answering?

Because most of the value is in getting the context right. Intake Daiven Agent is free to use and takes a minute ensuring you get the most value out of the interaction with our agents.

Why Daiven exists

The answer was good. It just wasn't yours.

Every general AI is built for the most people. That is why it keeps missing you.

Start free trial

What's the best way to handle rate limiting?

Assistant

For Project One, you should use a token bucket…

You never named a project. It picked one, and wrote the guess in as fact.

Five things that are true of almost every AI you have used.

It answers for the average person.

The most probable reply, averaged across everyone who asked something similar.

Daiven starts from your profile, not the average.

With nothing to go on, it guesses.

It won't say it's short of information. It fills the gap.

Daiven shows you what it thinks you meant, first.

Then it guesses using what it knows about you.

Better memory doesn't produce fewer wrong assumptions. Just more confident ones.

Daiven asks which one you meant, first.

It solves before you've found the problem.

Decisions rarely fail for lack of options. They fail on the wrong question.

Daiven slows down one step: the first one.

One model does everything, so it's shaped like nothing.

The assistant that drafts your emails also tells you whether to leave your job.

Nine agents. Each holds one job, one discipline.

What that changes in practice.

A profile you can read, and correct.

Nine domains, visible on your dashboard. Tell an agent what changed and it edits with you.

Context that gets sharper, not more expensive.

Each agent reads only the parts of you its job needs. Your profile keeps growing; your messages don't cost more.

A room with no record.

The Confidant writes nothing to a database. No agent can reference it after. Limited by architecture, not a setting.

Your data leaves the way it came in.

Export everything as one Markdown file. Import from another assistant and pick what to keep.

And if none of the nine fits, build your own. You choose its purpose — and which parts of your profile it may read.

See the nine, and the builder

How it compares.

You already use one of these. Here's what changes.

Comparison of Daiven, ChatGPT, OpenClaw, and Hermes across purpose, cost, memory, ambiguity handling, and data practices
Feature	Daiven	ChatGPT (and similar)	OpenClaw	Hermes
What it's for, and what it takes
What it is for	Keeping your decisions aligned with what you actually value.	Everything. Writing, coding, research, planning. Deliberately general.	Doing things. Inbox, calendar, bookings, tasks. Automation.	Autonomous task execution, scheduled jobs, self-built skills.
Getting started	Sign up. Nothing to install.	Sign up. Nothing to install.	Run a gateway on your machine. Second phone number expected.	One install command. Then a daemon on your hardware.
What you are responsible for	Nothing. It's a web application.	Nothing.	The machine, uptime, updates, backups, every security decision.	The machine, the daemon, updates, every security decision.
Who fixes it when it breaks	We do.	OpenAI does.	You do, with the community.	You do, with the community.
What it costs	A plan price in credits. Cost shown before you send.	Free tier on older models. Subscription for current ones.	Your own API keys, billed per token.	Your keys, per token — and ~73% of each call is overhead.¹
How it works with you
When your question is ambiguous	Asks first. Nothing runs until it's resolved.	Picks the likeliest reading. Answers as though you confirmed it.	No clarification step. It acts.	No clarification step. It acts.
What it remembers	How you reason, what you won't trade away, decisions and outcomes.	A prose biography — work, location, interests, travel.	Whatever you type into `MEMORY.md`. Entirely manual.	Same. Files you maintain.
What an agent may see	Per agent, per domain. You grant access individually.	One summary, no sections. Nothing to grant.	One workspace. Everything it spawns inherits the files.	Same. The agent reads the files.
How memory is structured	Nine domains. Duplicates merged at write time, older entries consolidated.	One prose summary, plus background reference to past chats.	Flat Markdown files in a folder, plus a session store.	Files under `~/.hermes/`. Compression is an open request.²
How it handles time	Understands time. Every memory carries its age. Old facts don't read as current.	A background process revises the summary. US Plus and Pro first.³	No age model. Everything reads as equally current.	Same. Age is whatever the files say.
Correcting what it knows	Tell an agent what changed. It edits your profile with you.	Open the summary, correct a line, or say stop mentioning it.	Open the file and edit it. Manual, complete control.	Open the file and edit it. Same trade.
Your data
Model training	No. Not your conversations, not your profile. Aggregate usage stats only.	On by default for personal accounts. Switchable in Data Controls.	Depends on the provider you point it at.	Depends on the provider you point it at.
Security	Encrypted (AES-256-GCM), with a key that is only yours. We cannot read it.	Encrypted, SOC 2 audited. Also subject to legal holds.⁴	Yours to get right. 30,000+ instances found exposed online.⁵	Yours to get right. Same surface, your keys on it.
Getting your data out	One Markdown file, everything in it. Import works too.	An archive to unpack. Not readable by another tool.	Already files on your disk.	Already files on your disk.

1.Hermes issue tracker #4379 — roughly 13.9k tokens of fixed overhead before your question is processed.
2.Hermes issue #10585, an open request to cut API costs via context compression.
3.OpenAI, June 2026 — Plus and Pro in the US at launch; other countries and Free announced as following.
4.Under the New York Times litigation, OpenAI was ordered to preserve consumer conversation logs, including deleted ones.
5.Bitsight, 27 Jan – 8 Feb 2026. Password enforcement weak enough that a single character was accepted as a valid token.

Checked July 2026. Open-source projects move quickly — tell us if something here is out of date.

Questions.

Nothing here is optimized for how long you stay.

You already know what you value. The question is whether anything you use notices when you stop acting like it.

Start free trial

Why Daiven exists

The answer was good. It just wasn't yours.

Every general AI is built for the most people. That is why it keeps missing you.

Start free trial

What's the best way to handle rate limiting?

Assistant

For Project One, you should use a token bucket…

You never named a project. It picked one, and wrote the guess in as fact.

Five things that are true of almost every AI you have used.

It answers for the average person.

The most probable reply, averaged across everyone who asked something similar.

Daiven starts from your profile, not the average.

With nothing to go on, it guesses.

It won't say it's short of information. It fills the gap.

Daiven shows you what it thinks you meant, first.

Then it guesses using what it knows about you.

Better memory doesn't produce fewer wrong assumptions. Just more confident ones.

Daiven asks which one you meant, first.

It solves before you've found the problem.

Decisions rarely fail for lack of options. They fail on the wrong question.

Daiven slows down one step: the first one.

One model does everything, so it's shaped like nothing.

The assistant that drafts your emails also tells you whether to leave your job.

Nine agents. Each holds one job, one discipline.

What that changes in practice.

A profile you can read, and correct.

Nine domains, visible on your dashboard. Tell an agent what changed and it edits with you.

Context that gets sharper, not more expensive.

Each agent reads only the parts of you its job needs. Your profile keeps growing; your messages don't cost more.

A room with no record.

The Confidant writes nothing to a database. No agent can reference it after. Limited by architecture, not a setting.

Your data leaves the way it came in.

Export everything as one Markdown file. Import from another assistant and pick what to keep.

And if none of the nine fits, build your own. You choose its purpose — and which parts of your profile it may read.

See the nine, and the builder

How it compares.

You already use one of these. Here's what changes.

Comparison of Daiven, ChatGPT, OpenClaw, and Hermes across purpose, cost, memory, ambiguity handling, and data practices
Feature	Daiven	ChatGPT (and similar)	OpenClaw	Hermes
What it's for, and what it takes
What it is for	Keeping your decisions aligned with what you actually value.	Everything. Writing, coding, research, planning. Deliberately general.	Doing things. Inbox, calendar, bookings, tasks. Automation.	Autonomous task execution, scheduled jobs, self-built skills.
Getting started	Sign up. Nothing to install.	Sign up. Nothing to install.	Run a gateway on your machine. Second phone number expected.	One install command. Then a daemon on your hardware.
What you are responsible for	Nothing. It's a web application.	Nothing.	The machine, uptime, updates, backups, every security decision.	The machine, the daemon, updates, every security decision.
Who fixes it when it breaks	We do.	OpenAI does.	You do, with the community.	You do, with the community.
What it costs	A plan price in credits. Cost shown before you send.	Free tier on older models. Subscription for current ones.	Your own API keys, billed per token.	Your keys, per token — and ~73% of each call is overhead.¹
How it works with you
When your question is ambiguous	Asks first. Nothing runs until it's resolved.	Picks the likeliest reading. Answers as though you confirmed it.	No clarification step. It acts.	No clarification step. It acts.
What it remembers	How you reason, what you won't trade away, decisions and outcomes.	A prose biography — work, location, interests, travel.	Whatever you type into `MEMORY.md`. Entirely manual.	Same. Files you maintain.
What an agent may see	Per agent, per domain. You grant access individually.	One summary, no sections. Nothing to grant.	One workspace. Everything it spawns inherits the files.	Same. The agent reads the files.
How memory is structured	Nine domains. Duplicates merged at write time, older entries consolidated.	One prose summary, plus background reference to past chats.	Flat Markdown files in a folder, plus a session store.	Files under `~/.hermes/`. Compression is an open request.²
How it handles time	Understands time. Every memory carries its age. Old facts don't read as current.	A background process revises the summary. US Plus and Pro first.³	No age model. Everything reads as equally current.	Same. Age is whatever the files say.
Correcting what it knows	Tell an agent what changed. It edits your profile with you.	Open the summary, correct a line, or say stop mentioning it.	Open the file and edit it. Manual, complete control.	Open the file and edit it. Same trade.
Your data
Model training	No. Not your conversations, not your profile. Aggregate usage stats only.	On by default for personal accounts. Switchable in Data Controls.	Depends on the provider you point it at.	Depends on the provider you point it at.
Security	Encrypted (AES-256-GCM), with a key that is only yours. We cannot read it.	Encrypted, SOC 2 audited. Also subject to legal holds.⁴	Yours to get right. 30,000+ instances found exposed online.⁵	Yours to get right. Same surface, your keys on it.
Getting your data out	One Markdown file, everything in it. Import works too.	An archive to unpack. Not readable by another tool.	Already files on your disk.	Already files on your disk.

1.Hermes issue tracker #4379 — roughly 13.9k tokens of fixed overhead before your question is processed.
2.Hermes issue #10585, an open request to cut API costs via context compression.
3.OpenAI, June 2026 — Plus and Pro in the US at launch; other countries and Free announced as following.
4.Under the New York Times litigation, OpenAI was ordered to preserve consumer conversation logs, including deleted ones.
5.Bitsight, 27 Jan – 8 Feb 2026. Password enforcement weak enough that a single character was accepted as a valid token.

Checked July 2026. Open-source projects move quickly — tell us if something here is out of date.

Questions.

Nothing here is optimized for how long you stay.

You already know what you value. The question is whether anything you use notices when you stop acting like it.

Start free trial