Havuz

Tiny Engineer, AI coding agent’ların çalışma durumlarını Wi-Fi üzerinden aldığı olaylarla hareket, ekran ve ses tepkilerine dönüştüren, ESP32 tabanlı masaüstü robottur.

Neden yükseliyor · AI coding agent’ların yaygınlaşmasıyla görünür çalışma durumu fikri ilgi çekiyor; 37 günde 395 yıldız ve son 28 günde 44 commit ile 5 farklı yazar, hem erken ilgi hem de kayda değer geliştirme faaliyeti gösteriyor.

AI桌面人形机器人 — ESP32-S3全栈运行，不会开口说话，22种情绪+关系成长+6路舵机AI控制，全栈开源(CC BY-NC-SA 4.0)

Local-first AI coding quotas and ship status, on your menu bar, iPhone, Watch and an ESP32 desk display.

A ternary, zero-heap tiny language model that runs inside a $2 microcontroller — bit-exact Python <-> C99 <-> Cortex-M3 (QEMU) parity. Apach

Distributed 56M-parameter LLM inference across 3 ESP32-S3 boards via ESP-NOW , Split-PLE + KV cache, fully offline.

鲜知贴：可复刻的 ESP32 墨水屏食材保鲜提醒器，包含 H5/Node.js/SQLite 服务端、C3/S3 固件、三色/四色屏渲染和 3D 打印外壳，支持公共托管、本地与自托管部署。

Visual, browser-based configuration tool for ESPHome — no YAML knowledge required

Device Context Protocol — bridge LLM agents to physical devices. Sub-50-byte frames, 27.6KB flash / 0.6KB RAM measured on ESP32, capability-

Run a 28.9M-parameter TinyLM on ESP32-S3 with an RP2040 OLED display node for fully local embedded AI inference.

Give Claude Code eyes 👁️ — a camera skill so it can SEE real hardware, displays and wiring: verify a rendered panel, check wiring before pow

Rust inference engine for a 28.9M-parameter PLE TinyLM on the ESP32-S3 — 9.4 tok/s, faster than the C implementation it was ported from

AI-Native Embedded Development Environment

Text prompt → KiCad schematic, BOM, and firmware. No templates — real wired circuits with computed values.