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ESP32s3-LLM-Cluster vs three.ws

Compare open source repositories side by side. Stars, forks, code health, licensing, and community growth.

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Recorded Stars Comparison

โ— Low-Zi-Hong/ESP32s3-LLM-Cluster (223) โ— nirholas/three.ws (224)
ESP32s3-LLM-Cluster (50%) three.ws (50%)
โ˜† 223ESP32s3-LLM-Cluster stars
โ˜† 224three.ws stars
+1Difference
three.wsStar Leader (1.0x)

โš–๏ธ Comparison Verdict

Star Popularity three.ws Leads +1 stars (1.0x ratio)
Forks & Derivatives three.ws Leads 61 total community forks
Recent Maintenance three.ws Pushed 25d ago
Licensing Different ESP32s3-LLM-Cluster: MIT vs three.ws: Apache-2.0

Side-by-Side Facts

Metric Low-Zi-Hong/ESP32s3-LLM-Cluster โ†— nirholas/three.ws โ†—
Description7-node ESP32-S3 cluster running a 0.4B LLM via 1.58-bit (BitNet) ternary quantization over SPI daisy-chainOpen-source platform for 3D AI agents. Turn text or a photo into a rigged, animated GLB avatar, give it an LLM brain, memory and a wallet, and embed it anywhere with one web component. Remote MCP server, x402 payments, Three.js, browser-native.
GitHub Starsโ˜† 223โ˜† 224
Forks1561
Open Issues119
Main LanguageC++JavaScript
LicenseMITApache-2.0
Last PushOct 5, 2026Oct 5, 2026
GitHub SourceOpen Source โ†—Open Source โ†—

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