Projects

May 17, 2026 · View on GitHub

Hera are some projects that are using yzma. Also some tools/frameworks and blog posts.

Tools and Frameworks

Kronk

Kronk provides a high-level API that feels similar to using an OpenAI compatible API.

https://github.com/ardanlabs/kronk

Fantasy

Fantasy lets you build AI agents with Go. Multi-provider, multi-model, one API. It supports Kronk, which in turn is built on yzma.

https://github.com/charmbracelet/fantasy

Applications

wasmVision

wasmVision is a high-performance computer vision processing engine that includes advanced algorithms and vision models for machine learning.

https://github.com/wasmvision/wasmvision

NornicDB

NornicDB is a high-performance graph database designed for AI agents and knowledge systems.

https://github.com/orneryd/NornicDB

Crush

Crush provides glamourous agentic coding for all. Built on Fantasy, see above.

https://github.com/charmbracelet/crush

floop

floop provides persistent memory for AI coding agents.

https://github.com/nvandessel/floop

ImmyGo

AI-first Go UI framework. Describe what you want, and ImmyGo builds it. A high-level framework built on Gio with Fluent Design aesthetics and local AI capabilities via yzma, Ollama and Anthropic API.

https://immygo.app/

Pingo

Raspberry Pi Pico / Pico 2 pin selector desktop application built with ImmyGo. Built-in chat for pin selection advice, powered by multiple LLM backends including yzma.

https://github.com/amken3d/Pingo

unch

Semantic code search for code symbols and docs.

https://github.com/uchebnick/unch

Examples and Tutorials

Running local LLMs and VLMs on the Arduino UNO Q with yzma - Arduino Project Hub

Marc Pous (@mpous) shows how to run local LLMs and VLMs directly on the Arduino UNO Q using yzma and llama.cpp.

https://projecthub.arduino.cc/marc-edgeimpulse/running-local-llms-and-vlms-on-the-arduino-uno-q-with-yzma-74e288

Ardan Labs ai-training repository

Provides examples for Go developers to use AI in their products.

https://github.com/ardanlabs/ai-training

Captions With Attitude

"Captions With Attitude" in your browser from your webcam generated by a Vision Language Model (VLM) from a Go program running entirely on your local machine using llama.cpp!

https://github.com/hybridgroup/captions-with-attitude

yzma-on-jetson

https://codeberg.org/GenAI-On-Small-Devices/yzma-on-jetson

Blog Posts/Video