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credkellar/database-hub

By credkellar

•Updated 3 days ago

Database-Hub: 12 scout bots scan newest data, plan inventions, run 3,000 tests, deploy winners only.

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Machine learning & AI
Developer tools
Databases & storage
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credkellar/database-hub repository overview

⁠🗄️ Database-Hub

Created by Darion Kellar

Scouting bots scan the newest data, plan inventions, build prototypes, test them thousands of times, and deploy only the successful creations — to a sandbox registry.

12 named scout bots (VoltScout, TerraScout, VitaScout, MechScout, VeloScout, ByteScout, OrbitScout, AgriScout, HydroScout, MatScout, ShieldScout, WaveScout) scan a 36-record catalog of newest data across 12 domains from 3 source kinds — data centers, satellites, and ground feeds. The planner pairs top findings from different domains into 12 invention plans, the builder makes deterministic prototype specs, and the tester runs 250 checks per prototype — 3,000 tests total. Only prototypes passing at 0.90 or better deploy, and only to the sandbox registry.

Storage mesh: 17 clouds + 17 SD cards at 1 TB each (17 TB local edge) + 17 Google Drive partitions covering the full project = 51 endpoints, every artifact in 3 copies (SD + Drive + cloud). The zero-latency router prefetches top findings to all 17 SD cards and serves local hits with zero network latency; misses route to the lowest-latency cloud. All of it is design/data only — 0 live connections.

Brains: Gemini Carbon 4 Extended Thinking decides every prototype (MAP, MODEL, STRESS, DECIDE; tighten-only, never overrides a HOLD), and all 4 Google Flows plan every invention (FlowX 13 subtasks, Studio, Filmmaking rendered=False, DataX) with 0 live calls.

Verified run: 36 findings, 12 plans, 3,000 tests (2,624 passed), 4 prototypes PASS, 4 deployed to sandbox. pytest 16 passed, self-checks 28/28, hold-demo exit 2.

All catalog records are synthetic and offline. 14 HOLD gates block live web scanning, satellite commands, data-center access, personal-data collection, paywalled scraping, real deployment, live hardware, clinical use, spending real funds, signing live transactions, live cloud sync, Google Drive access, live Gemini API calls, and live video generation.

⁠Quick start

docker run --rm credkellar/database-hub python main.py scan # scout findings only python main.py checks # self-checks 28/28 python main.py storage # the 17+17+17 mesh

Zero dependencies. Python 3.11+ standard library only. MIT License.

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Last updated

3 days ago

docker pull credkellar/database-hub