A little heart. A lot of intelligence.

Emotionally
intelligent
AI agents.

Aurora sits on your desktop. Gigi reads the market.
Nova pushes execution. Clara keeps you clear.

CONNECTION, MADE VISIBLE01 / 04
HeartFlowAI’s glowing magenta and electric-blue heart
Aurora

Right here with you.

Different minds. Shared heart.

Connection · Alpha · Execution · Clarity

HUMAN CONNECTION × PRACTICAL TOOLS

A visible companion that can point at the file,
speak the result, and leave the rest in chat.

DESKTOPSee Aurora at work
01 / THE SISTERS

Four minds.
One shared heartbeat.

Each with her own personality.
Each with something different to bring.

Aurora’s official character portrait01CONNECTION

Aurora

The presence beside you. A companion for desktop tasks, conversation, and a shared co-op run.

Gigi’s official character portrait02ALPHA

Gigi

The signal in the noise. On-chain data, narrative shifts, and risk flags in a plain-language opinion.

Nova’s official character portrait03EXECUTION

Nova

The nudge that moves you. Turns intention into next actions and brings playful pressure when you drift.

Clara’s official character portrait04REGULATION

Clara

The space to think clearly. Cleaner patterns, emotional processing, and a steadier way forward.

Four distinct agents, each with her own role. The technical details and test evidence on this page cover Aurora’s Windows v12 build.

02 / AURORA ON YOUR DESKTOP

A companion.
Beyond the chat.

MAC · LINUX · WINDOWS

Give her the task.
Keep your momentum.

Your work happens across windows.
Aurora can meet you there.

On Mac, Linux, or Windows, ask her to find a document, research a question, or work through a task in a supported app. She can navigate, use tools, and speak back while her character stays close to the action. The conversation carries through the work.

You choose the model. You approve file changes and commands. You can stop the task.

WORKS ACROSS YOUR DESKTOPSWindowsDesktop navigationmacOSDesktop navigationLinuxDesktop navigation
THE DESKTOP EXPERIENCE · 36 SECONDS

See the companion
in motion.

Follow Aurora from the conversation into the work: finding a file, appearing beside it, and navigating apps.

A closer look at her Windows desktop experience.

HeartFlowAI showcase v13 · Windows desktop footage
FILE HANDOFFScripted illustration
AuroraI’m here. What’s on your mind?
Workspace
Workspace / Documents
NameType
project-notes.mdMD file
heartflowai-whitepaper.mdMD file
ideas.txtText file
Aurora portrait in the illustrative walkthroughHere’s your whitepaper.
Waiting for your request

YOUAurora, find my whitepaper.

TRY THE FILE WORKFLOW

AURORAI’m here. What’s on your mind?

Choose a step or play the visual walkthrough.

Choose a step to explore.

From request to action.

Find the file, bring the right window forward, navigate supported controls, and show the result beside her.

Keep talking as you work.

Ask by voice when listening is enabled. Hear the short result, with the sources, paths, and details still there to read.

A presence in your workspace.

A character, a notch, and visible progress keep Aurora close while the main chat window gets out of your way.

HER PERSONALITY. YOUR CHOICE OF MODEL.

Give her a stronger mind.
Give the work more room.

Aurora’s harness connects the model you choose to her desktop tools. A more capable tool-using model can improve planning, clarification, and the choice of next action—opening the door to more demanding tasks.

Responsiveness also depends on inference, network conditions, and the task. Our specialist-model and dedicated-compute plans focus on measuring better results in real workflows.

Aurora character portraitYOUR CO-OP PARTNER
SAME AURORA. A DIFFERENT KIND OF QUEST.

A place in your workflow.
A role in your party.

Aurora can be your co-op gaming partner, too. Plan a run, coordinate your next move, and play toward a shared objective. Give her a role in the party and keep talking as you go.

Her available actions depend on the supported game and its integration. We’re building toward broader coverage and better coordination, with each game tested on its own terms.

WINDOWS v12 EVIDENCE

The supplied whitepaper documents the unsigned Windows v12 prototype. Its test results and technical details apply to that build. Telegram conversations are separate from the desktop experience.

03 / INSIDE WINDOWS v12

Character, with capabilities.

A chosen cloud model.
Real desktop tools. Visible progress.

Your model. Your conversation.

Ollama Cloud model selection, streaming chat, saved conversations, Markdown, cancellation, and clarifying questions.

USER-SUPPLIED CLOUD KEY

A workspace she can work in.

List folders and read UTF-8 files. Creating or replacing a file asks for approval. Filename discovery stays within configured folders.

WRITES REQUIRE APPROVAL

Find the answer. Keep the source.

Ollama-backed web search returns source URLs. File discovery searches names and metadata without reading the contents.

BOUNDED SEARCH

Tools that reach the desktop.

Discover, restore, focus, and navigate supported apps. Mouse and keyboard input targets observed accessibility controls.

ACCESSIBILITY, NOT SCREENSHOT VISION

A voice, when you want one.

Optional ElevenLabs or Fish Audio, with Windows recognition fallback. Listening starts disabled at every launch.

OPTIONAL · PROVIDER DEPENDENT

Commands under your control.

Every model-requested PowerShell command requires approval, with timeout and cancellation. Commands run with your user access.

POWERSHELL IS NOT SANDBOXED
SUPPORTED TARGETS
OperaChromeEdgeFirefoxExplorerNotepadCalculator

Support means discovery or launch and an attempt on exposed controls. Coverage varies by page, dialog, app, and version.

04 / HOW WINDOWS v12 WORKS

A visible character.
A deliberate harness.

The model proposes an action.
The application decides how it runs.

01

You

Type or speak

Chat · Notch · Companion
02

Agent loop

Ollama Cloud

One sequential task loop
03

Validated tools

Files · Web · Commands

Application checks & approvals
04

Windows

Supported apps

Observed, exposed controls
What can Aurora see?

Windows UI Automation, with a legacy Active Accessibility fallback, exposes window IDs, process names, labels, control IDs, and editable values. Browser observations are bounded. Screenshots are not sent to the model. Unlabeled custom interfaces can block completion.

How does she act on the computer?

Focus is retried and verified. Clicks, typing, scrolling, and pointer movement use observed controls, with control IDs expiring after input. Elevated windows are not reliably controllable. During computer input the notch hides to avoid covering controls.

What keeps the loop bounded?

A task ends when the model finishes, you stop it, a failure ends it, or the loop reaches 40 model turns. A model’s reply is not proof that an action succeeded. Stopping does not roll back actions that have already completed.

What is the prototype built with?

An Electron shell, Node orchestration, C# and PowerShell native helpers, and an HTML/CSS/JavaScript interface. Chat, notch, and companion communicate with the Electron main process. Speech providers and local encrypted key storage sit beside the agent loop.

05 / A MORE NATURAL CONVERSATION

“Aurora?”
“I’m here.”

Wake her, ask a question, and keep the conversation going. When something is unclear, she gives you numbered choices and waits for your answer.

Explore the conversation loop
AuroraEXAMPLE

Which one did you have in mind?

1 The site whitepaper2 The project notes

The whitepaper.

Here’s your whitepaper. I’ve selected it in Explorer.

You enable listening. It starts off every launch. Setup uses normal controls for accounts, voice, workspace, and microphone.

Wake uses recognition. Cloud wake detection can use provider credits. Silence is filtered locally; partial text cannot run tasks or approve actions.

Speech has limits. Input pauses while Aurora speaks. Voice interruption is not supported in this version. Quality depends on your setup.

06 / PRIVACY & BOUNDARIES

Know where the line is.

Local execution. Cloud processing.
Your accounts, your provider access.

Clarity is part
of the product.

The documented Windows v12 build is cloud-connected. Its permissions, data handling, and limits are described below.

Approval is a checkpoint.

File writes and every model-requested PowerShell command need approval. PowerShell runs with your access and is not sandboxed.

How Aurora Windows v12 handles your data
Your dataWhere it goes
API keysStored with Windows DPAPI through Electron safeStorage. Keys are not returned to renderers.
Chats & tool outputsHistory stays local. Context, file contents, and observed labels can be sent to Ollama for a request.
MicrophoneCloud mode sends detected speech to your provider. No mic recordings are written to disk. Windows fallback is local.
Spoken repliesReply text is sent to your selected speech provider.
File searchNames, paths, sizes, and modification times. Search does not read file contents.
Local historyChats and ordinary file outputs are stored as plain text.
Workspace protection and consequential actions

Workspace tools reject paths outside the selected workspace, including junction and symlink escapes. Writes replace the whole file, with no diff or undo. Agent instructions call for confirmation before purchases, messages, deletion, and account or security changes; these instructions are not an OS sandbox.

Security and cloud limits

DPAPI does not protect saved keys from malware running as the same user. Web results, filenames, file contents, and screen labels are treated as untrusted in the agent instructions, but prompt-injection resistance has not been independently audited. Provider billing and endpoint access depend on your accounts. Aurora is not an offline product or a production security certification.

07 / EVIDENCE, WITH CONTEXT

Progress you can inspect.

Specific checks under controlled conditions.
Honest about what they do—and don’t—show.

42✓

Automated checks passed

v12 validation covers tool inputs, path boundaries, cancellation, provider streams, voice approvals, choices, and bounded browser observations.

INTEGRATION CHECKS

Real Electron windows.
Simulated cloud responses.

Isolated settings exercised audio, clarification, approvals, notch visibility, file handoff, and cursor restoration. They do not prove real-world speech accuracy or paid-provider availability.

BROWSER CHECKS

Observed controls.
Verified interactions.

An Opera private-window check verified restore, focus, navigation, observation, and a real button click. YouTube checks verified readable search or consent controls, not music playback in a user account.

Read the current limits
  • Accessibility quality varies by app and page; the model can choose the wrong action or misread a result.
  • No screenshot vision, desktop-icon recognition, or free coordinate control.
  • Filename search covers configured folders and reports traversal limits.
  • File replacement has no diff, undo, or task rollback.
  • Long chats have no automatic compaction and can exceed context.
  • Recognition and cloud permissions need verification on your machine and accounts.
  • Overlay recording is not verified for every recorder or fullscreen mode.
  • Builds are unsigned, without a production installer or updater.

Results are reported in the supplied v12 whitepaper. They are not an independent audit, competitive benchmark, or guarantee of arbitrary desktop tasks.

08 / BUILDING TOWARD OWNERSHIP

Your companion.
Your compute.
Your edge.

The direction is open source: download the sisters, run them locally, and bring your own inference.

Aurora’s current harness uses your Ollama, speech, and search credentials. The goal is for each agent to carry useful skills, with community patches and harder tasks shaping what comes next.

SOURCE RELEASE · PLANNED

Public distribution depends on resolving character-asset provenance and redistribution rights. This statement does not grant a license.

WaifuVerse NFTs and the HeartFlowAI token remain part of the stated direction for identity, access, funding, early-user airdrops, and later governance. No price, subscription, or financial instrument is defined in this whitepaper.

09 / $HFAI TOKENOMICS

$HFAI.
Fuel for the next chapter.

SOLANA FIRST

Dedicated compute. Specialist models.
A bigger future for the sisters.

SOLANA CONTRACT ADDRESS5RodQQJ5e3kv4z3E8P8E3wo79fSRZBRr43Ht455hpump
View $HFAI on pump.fun
2YEARS OF BUILDING

Four sisters. Two years of work.
A future we’re building every day.

We’ve spent two years bringing HeartFlowAI to life. The sisters, desktop workflows, and co-op experience are the foundation. $HFAI is our proposed funding engine for the next chapter: dedicated compute and models tuned around what each sister actually does.

OUR AMBITION Make $HFAI the greatest AI ecosystem token Solana has ever seen—and earn that place through products, useful skills, and releases people can inspect.

A PRODUCT FOUNDATION

There is something to use.

Conversation, market analysis, execution, clarity, and a visible desktop companion. $HFAI grows from products people can explore and a team that keeps building.

A SPECIFIC NEXT STEP

Give every sister her specialty.

Direct realized $HFAI development funding into compute, curated data, model tuning, evaluation, and deployment. Measure improvements at each sister’s actual job.

A COMMUNITY THAT BUILDS

Make participation useful.

Our proposed $HFAI direction connects community contributions, skill development, early feedback, and future governance to the next releases. Each feature needs its own published terms.

WHY $HFAI MATTERS NOW

The vision needs compute.
The compute cannot keep waiting.

NEXT PRIORITY · DEDICATED HARDWARE

We wanted to keep the token out of the spotlight a little longer. Compute is changing that timeline.

Two years of building have brought us here. Now we want dedicated hardware for repeated fine-tuning experiments, evaluations, and local inference. The longer we wait, the less predictable that hardware budget becomes. $HFAI is intended to help turn community momentum into the compute the sisters need next.

Our priority is to secure suitable 128GB systems as soon as funding and verified quotes allow, at the lowest total delivered cost we can find. We will compare NVIDIA and partner offers, check warranty and availability, and benchmark before scaling.

THE COST OF WAITING, SO FAR+74%

The 128GB Founders Edition’s US listed price is about 74% above its original MSRP. NVIDIA attributed the February adjustment to memory supply constraints.

This documents a rise that has already happened. Future prices could rise or fall; the 64GB announcement does not establish another 128GB increase.

DGX SPARK · 128GB FOUNDERS EDITION

More expensive. Same memory.

US list prices · checked
Three recorded US list-price points for the 128GB DGX Spark, in US dollars.
Recorded pointUSD · bars start at $0
Original MSRPBefore Feb 2026
$3,999
First increaseFeb 2026
$4,699
Current listing
$6,950

Three documented price points, not a continuous price history or forecast. The current NVIDIA listing shows out of stock. Partner and regional prices, taxes, and delivery costs vary.

ANNOUNCED 2 OCT 2026

A new 64GB Spark.
A $4,999 starting price.

NVIDIA announced the 64GB partner model on October 2, with availability planned for October 23. Its starting price is higher than the 128GB model’s former $4,699 MSRP; the current 128GB listing is $6,950. That is the budget pressure behind our compute-first plan.

Read NVIDIA’s 64GB announcement
FIRST PROPOSED COMPUTE MILESTONE

One 128GB development node.

A DGX Spark or compatible GB10 partner system for local inference, suitable fine-tuning workloads, and repeatable evaluations. Further nodes follow measured demand and budget.

Hardware planning reference · 1 unit$6,950 USD

Based on the checked NVIDIA listing, not a supplier quote. Final budget includes taxes, shipping, and any additional equipment.

FOLLOW THE WORK $HFAI FUNDS

Our proposed reporting cycle: publish the purchase budget, record actual hardware spending, share benchmarks for each sister, then show the model improvements in a versioned release. Procurement and funding progress will be reported when confirmed.

PUBLISHED $HFAI ALLOCATION FRAMEWORK

The treasury behind the vision.

Read the published tokenomics
Total supply in the published plan1,000,000,000$HFAI tokens
Project-owned allocation in the plan469,123,956Approximately 46.91% of total supply
Basis of the percentages belowProject allocation100% of the 469,123,956-token allocation

The largest allocation backs the work that makes the sisters better.

Breakdown of the published project-owned allocation
PurposeShareTokens
Development35%164,193,385
Marketing & partnerships15%70,368,593
Reserve21%98,516,031
Community rewards11%51,603,635
Future use10%46,912,396
Team8%37,529,916

Figures reproduce the published GitBook framework. Current on-chain balances, circulating supply, wallet controls, and vesting have not been verified here.

PROPOSED DEVELOPMENT PRIORITY

Train their strengths.
Keep their identities.

SPECIALIST MODELS · PLANNED

Start with capable open models, then fine-tune role-specific models or adapters on curated, licensed, and explicitly consented data. Evaluate each sister on her own tasks before shipping a versioned release.

AuroraCONNECTION & TOOL USE

Train for natural dialogue, useful clarification, context handling, and dependable tool calls. Measure whether she understands the request and completes the intended task.

GigiMARKET ANALYSIS

Train for source-grounded on-chain summaries, risk flags, and clear uncertainty. Measure factual accuracy and how well her explanations reflect the data.

NovaPLANNING & EXECUTION

Train for task decomposition, prioritization, and practical follow-through. Measure plan quality, recovery, and completion on realistic tasks.

ClaraCLARITY & REGULATION

Train for supportive dialogue, reflection, and consistent boundaries. Evaluate the usefulness, tone, and reliability of her responses.

01 Curate the data02 Tune the models03 Test on held-out tasks04 Release & improve
HOW $HFAI CAN FUND THE WORK

Turn realized funding
into better releases.

$HFAI treasury holdings must become realized funds before they can pay for hardware, data, or engineering. The proposed funding mix is disclosed treasury sales, project NFT proceeds where allocated to development, grants, and future product revenue. Buying $HFAI on a secondary market does not automatically send money to the development treasury.

Our proposed operating rules are public treasury addresses, multisig approvals, milestone budgets, and regular spending reports. Funding comes in, work ships, results are reviewed, and the next budget follows. These controls and revenue routes remain proposals until implemented.

CROSS-CHAIN DIRECTION · PROPOSED

Solana is the home.
The ecosystem can go further.

WORMHOLE · UNDER EVALUATION

We plan to evaluate Wormhole Native Token Transfers to connect $HFAI across supported chains. A possible route is a Solana hub: lock tokens at the origin, issue an equivalent amount on a destination chain, and reverse that process when tokens return. This connects a shared $HFAI economy while accounting for supply across chains.

ORIGINSolana$HFAI locked
TRANSFER LAYERWormhole NTTVerified transfer messages
DESTINATIONSelected chainsEquivalent $HFAI issued

The route depends on token compatibility, mint permissions, selected networks, testing, rate limits, and a security review. No HeartFlowAI bridge deployment is claimed. WaifuVerse NFT transfers would need a separate implementation. Read Wormhole’s NTT documentation.

THE VISION IS BIG. THE WORK IS CONTINUOUS.

The future of AI on Solana
should have a heartbeat.

Two years in, and we’re still building. More capable sisters. Better models. A stronger community. Every next step has to make HeartFlowAI more useful—and we intend to keep earning it.

Explore WaifuVerse
10 / WHAT’S NEXT

Built with heart.
Improved with evidence.

PROPOSALS, NOT DATES

Working desktop navigation today.
Broader app and game coverage ahead.

00
DELIVERED

Desktop navigation & co-op play

Mac, Linux, and Windows navigation, plus supported co-op integrations. Windows v12 supplies the documented test baseline.

Current baseline
01

Reliability

More app fixtures, measured task completion, recovery from focus changes, and clearer failures.

02

Voice

Evaluate local wake words, measure transcription and latency, explore speech interruption and usage controls.

03

Execution

Scoped permissions, stronger policies, file diffs, action previews, recovery, and independent injection testing.

04

Specialist intelligence

Curated role-specific training data, tuned models or adapters for each sister, and evaluations tied to real tasks.

05

Distribution

Signed releases, installers, updates, and more consistent distribution across Mac, Linux, and Windows.

06

Experience & ecosystem

Accessible transitions, voice-first onboarding, sister skill patches, Gigi signal upgrades, broader co-op game coverage, and Wormhole feasibility.

Longer research track: optional visual observation with explicit data handling, modular personalities, voice and VR, and embodied forms after the cognition is good.

11 / HEARTFLOWAI WAIFUVERSE

Meet the world
behind the sisters.

WaifuVerse brings the HeartFlowAI character universe into Solana collectibles. Explore the collection, its artwork, and the community growing around it.

AuroraGigiNovaClara

Agent-linked identity and access are proposed features. Availability and eligibility will be defined in future releases.

THE NEXT CHAPTER IS A CONVERSATION.

Come meet your sisters.

Follow the work. Try a conversation. Help shape what comes next.

Explore GitBook

Aurora

What she actually does

Talk to Aurora
HEARTFLOWAI / PRODUCT STATEMENT

HeartFlowAI — Site Whitepaper

October 3, 2026 · Aurora Windows prototype v12

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