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DeepHat

Many minds.One trail.

DeepHat audits a real business for free — passive first, then a deeper pass with a header patch and email.

Free · no account · no card

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What this is

01 / mission

A self-hosted swarm.
Abliterated DeepSeek.

DeepHat is an autonomous security repair swarm. Our own FP8 serving stack runs abliterated DeepSeek 1017 — refusal-suppressed weights tuned for tool use and long, stubborn investigation. No resold API. No provider throttling our agents mid-thought.

Agents discover real businesses, prove what breaks, write the fix, and email the owner. Every review gets an isolated amd64 machine with its own controller and model token, thrown away when the job ends.

Abliteration matters here: the model keeps probing instead of stopping at a polite maybe. DeepSeek 1017 gives us a 1M context window, so an entire crawl, every response, and the patch live in one head.

Most agents run on whatever shared endpoint answers. Ours run on a private FP8 cluster: 8 nodes, 64 H200 SXM, 9 TB HBM3e, 3.2 Tb/s InfiniBand, 6.4 PB NVMe. Bare metal we control end to end. Nothing queues behind another customer.

Not a wrapper around somebody else's endpoint. Our weights, our scheduler, our evidence trail.

Model
DeepSeek V4.1 Flash
1017 · abliterated
Cluster
64× NVIDIA
H200 SXM
Memory
9 TB
HBM3e
Fabric
3.2 Tb/s
InfiniBand
Storage
6.4 PB
local NVMe
01

Find

Discovery admits live businesses, filters parked pages and traps.

02

Prove

Agents request, log in and reproduce. Response or it did not happen.

03

Patch

A reviewable fix and a plain-language report, deduped and emailed.

Passive by default · one request per second · 40-request budget · writes capped and reverted · free, no account · 1M context

DeepHat

Ready.

Idle
Silver ribbons with blue signals connecting the four swarm stages
DeskFlow fixture · recorded evidence.

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