Esp32 AI

Esp32 AI is a microcontroller program that runs a 28.9 million parameter language model directly on an ESP32-S3 chip.

This product runs a 28.9 million parameter language model and part of a fruit fly connectome on an ESP32-S3 microcontroller. It executes entirely on the hardware device with no server connectivity, generating text on an attached screen. The model fits by keeping most parameters in flash memory using per-layer embeddings while storing active weights in SRAM and PSRAM. It generates short, simple stories trained on TinyStories and simulates fruit fly escape behaviors against a spider animation. The system is designed for microcontroller hardware researchers and developers exploring edge AI architectures.

Esp32 AI at a glance

Best for: Software engineer
Runs on: self-hosted, open source
Pricing: Free
Released: July 2026
Category: AI coding tool
Website: github.com/slvdev/esp32-ai

Key features

Generates text on an ESP32-S3 microcontroller
Stores most model parameters in flash memory
Uses per-layer embeddings for memory efficiency
Simulates 48,311 neurons from a fruit fly connectome
Executes simulations on dual CPU cores with SIMD
Performs inference entirely on the device

Use it for

Running a language model on an ESP32-S3 chip
Simulating fruit fly brain connectomes on hardware
Generating short synthetic stories on a microdevice

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