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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.

A general assistant

Should I take the job?

Congratulations on the offer! This is a big decision. Since you're early in your career, here are the key factors to weigh:

1. Total compensation

Look past base salary — equity, bonus target, retirement match, and healthcare often account for 20-30% of the real number. Ask for the full package in writing.

2. Growth trajectory

Ask about promotion cadence and who your skip-level would be. A useful heuristic is that a role should stretch you roughly 30% beyond your current scope, so

Daiven

Should I take the job?

Before I route this — is the pull the work itself, or getting out of where you are? Those are different decisions and they don't have the same answer.

Getting out, mostly.

Then the offer isn't the decision — whether you leave is, and this one is just the first door out. Sending it to the agent that structures that.

Routed to The Strategist

Neither answer is wrong. Only one of them asked whose question it was.

Common AI chat problems

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

01

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.

02

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.

03

Then it guesses using what it knows about you.

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

Daiven still asks — what it knows makes the question sharper, not optional.

04

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.

05

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.

06

It learns what you like, and drifts toward it.

Every softening is reasonable on its own. Six months in, it agrees with you.

Daiven's self-improving cycle runs on delivery. Stance is out of its reach.

The differences

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.

Agents that fit how you work.

Length, pace, register, structure. Each agent picks it up as you go and asks before applying it — the improvement is in delivery, not in what it's willing to say.

Everything it picked up, in your own words.

One list, every agent, with the sentence behind each item. Remove one, or set an agent back to its default voice.

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→

What gets kept

You decide what it remembers. Some things it won't keep, even if you ask.

Most assistants decide for themselves what to save and tell you afterwards. Daiven asks first, and it avoids the grey zones by design rather than leaving each case to a model's judgement.

  1. 01

    You approve what's written.

    Every entry is proposed as the exact text to be stored. Nothing is written until you accept it, one card at a time or for the rest of a session. A removal always needs its own yes.

  2. 02

    Some things stay out regardless.

    A fixed set of categories — detail more likely to be used against you than for you — never enters your profile, whatever you consent to. Agents are told not to propose them, and a separate check runs before every write.

  3. 03

    When in doubt, nothing is saved.

    If that check can't run, the write doesn't happen. A check that can't see never approves.

  4. 04

    Nothing is quietly overwritten.

    A changed value is kept as history. A contradiction stays as signal instead of being resolved for you. Merged entries keep their originals in an archive.

  5. 05

    Consent you can take back.

    One setting withdraws consent to processing sensitive data. That data is deleted, and the account waits until you consent again or leave.

Proposed Memory Update1 change
Add row toMEMORY§Career

The pull toward the new offer is mostly about leaving the current job. The real decision is whether to leave.

DismissAuto-apply this sessionApply Changes
After onboarding, an agent can add to your profile in only one way: a card like this, with the exact text it wants to store.

Daiven vs. competition

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, consent, and data practices
FeatureDaivenChatGPT (and similar)OpenClawHermes
What it's for, and what it takes
What it is forKeeping 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 startedSign 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 forNothing. 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 breaksWe do.OpenAI does.You do, with the community.You do, with the community.
What it costsA 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 ambiguousAsks 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 remembersHow 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 seePer 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 structuredNine domains, every entry dated, so old facts don't read as current. A changed value is kept as history; merges archive the originals.One prose summary a background process revises, plus past chats. US Plus and Pro first.2Flat Markdown files plus a session store. No age model: everything reads as current.Files under ~/.hermes/, same age model. Compression is an open request.3
Correcting what it knowsTell 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.
Keeping a reply you want againA private note, a framework you attach to a later message, or into memory. It tracks which ones you reuse.Copy it out, or scroll back to the chat it's in.Paste it into a file yourself. Nothing tracks whether you used it again.Same. Files you maintain.
How it improves with usePicks up how you want to be spoken to — length, pace, register, structure — and asks before applying it.Custom instructions and tone, written by you. Style and stance share one field.Whatever you type into the files. Style and instruction are the same field.Same. Files you maintain.
Where the improvement stopsAt delivery. Stance is outside what the cycle can reach.Nowhere in particular. "Be encouraging" is an ordinary instruction.Nowhere. Any instruction you write is honoured.Same.
Your data
How something gets into memoryProposed as the exact text to store. Written only once you accept, per card or for the session.It decides during the chat and tells you afterwards: "Memory updated". Saves on request too.You write it into MEMORY.md.Same. Files you maintain.
What it won't keepA fixed set of sensitive categories, even if you ask. A separate check runs before every write; if it can't run, nothing is saved.Trained not to save sensitive details on its own. Saves them if you ask.4No rule of its own. The files hold whatever is written to them.Same.
Withdrawing consentOne setting. Sensitive data is deleted, and the account waits until you consent again or leave.Turn Memory off, or delete saved memories one by one.Delete the files.Delete the files.
Model trainingNo. 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.
SecurityEncrypted per account (AES-256-GCM). A stolen database is only ciphertext. Where that protection stops is in our privacy policy.Encrypted, SOC 2 audited. Also subject to legal holds.5Yours to get right. 30,000+ instances found exposed online.6Yours to get right. Same surface, your keys on it.
Getting your data outOne 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. 1.Hermes issue tracker #4379 — roughly 13.9k tokens of fixed overhead before your question is processed.
  2. 2.OpenAI, June 2026 — Plus and Pro in the US at launch; other countries and Free announced as following.
  3. 3.Hermes issue #10585, an open request to cut API costs via context compression.
  4. 4.OpenAI Memory FAQ — trained not to proactively remember sensitive information, such as health details, unless you explicitly ask.
  5. 5.Under the New York Times litigation, OpenAI was ordered to preserve consumer conversation logs, including deleted ones.
  6. 6.Bitsight, 27 Jan – 8 Feb 2026. Password enforcement weak enough that a single character was accepted as a valid token.

Checked August 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.

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DaivenDAIVEN

A personal AI that knows your values and tells you when you're drifting from them.

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