ESP32 Labs

esp32sim is an open-source ESP32 emulator written in Rust. It uses instruction-level emulation to run unmodified firmware through the real mask ROM, second-stage bootloader, FreeRTOS, and application image for ESP32, ESP32-S3, ESP32-C3, and ESP32-C6 systems, with modeled peripherals such as GPIO, UART, timers, displays, cameras, audio, storage, and wireless interfaces. The desktop command-line version supports virtual Wi-Fi with DHCP, DNS, NTP, WPA2, and NAT to the host network, allowing emulated firmware to reach real services without hardware or firmware changes. The same emulator can be compiled to WebAssembly and run in a browser, although browser execution has no network NAT. It includes board models, debugging and tracing commands, regression tests, and differential comparisons against physical ESP32 hardware. The project is distributed under the MIT License.

ESP32 Bit Pirate is open-source ESP32-S3 firmware that turns supported development boards into multi-protocol hardware development and analysis tools, inspired by the Bus Pirate. It provides a command-line interface over USB serial or Wi-Fi web serial for sniffing, sending, testing, and scripting wired protocols such as I2C, SPI, UART, 1-Wire, CAN, GPIO, JTAG, and USB, as well as wireless technologies including Bluetooth, Wi-Fi, Sub-GHz, RFID, infrared, LoRa, and FM. The firmware includes protocol-specific tools such as EEPROM and flash access, UART bridges, device scanning, signal recording and replay, radio analysis, PWM and direct I/O control, and Bus Pirate-style bytecode or Python scripting. The project supports several ESP32-S3-based boards, including ESP32-S3 Dev Kits, M5Stack devices, and LILYGO boards, and provides web tools, hardware guides, recipes, and documentation through its project website.

An open-source project that runs a 28.9-million-parameter language model locally on an ESP32-S3 microcontroller, without network connectivity. It uses a tiered memory layout based on Per-Layer Embeddings: frequently accessed activations and normalization weights stay in SRAM, the model core and output head reside in PSRAM, and a roughly 25-million-parameter embedding table is stored in flash; only the few rows needed for each token are read into faster memory. The included TinyStories model generates short stories, while a Barista model provides espresso question answering. The repository notes that the TinyStories model is not designed for general question answering, instruction following, code generation, or factual knowledge, and provides separate scripts for downloading and verifying model assets and deploying a selected model to the board.

wifi-sensing-kit is an open-source local Wi-Fi sensing kit that uses three ESP32-S3 boards to recognize activities such as sitting, squatting, walking, jumping, or an empty room from changes in Wi-Fi channel state information (CSI). During training, a webcam uses a pose model to label movements; the resulting movement model can then classify activity from Wi-Fi while the camera is covered. The kit provides dashboards for live CSI signals, a room map showing sensing links between boards and the router, and movement-model training, testing, and evaluation. It is built on RuView's open-source CSI firmware, with a patch that gives each board a distinct light color and lets boards measure one another as well as the router. Processing is local: webcam video stays in the browser and only movement labels are sent to the local server. The system must be retrained when the person, room, or board positions change, and it does not produce a skeleton or exact position. The repository includes firmware build and flashing scripts, a local Python server, configuration files, and evaluation tools; it requires three ESP32-S3 boards with at least 8 MB of flash, a 2.4 GHz Wi-Fi network, and a macOS or Linux computer for setup. The kit's code is MIT-licensed, while its bundled firmware patch, pose model, and fonts retain their stated upstream licenses.