TypeScript multi-agent framework — one runTeam() call from goal to result. Auto task decomposition, parallel execution. 3 dependencies, deploys anywhere Node.js runs.

A powerful Zotero AI and MCP plugin with ChatGPT, Gemini 3.1, Claude, Grok, DeepSeek, OpenRouter, Kimi 2.5, GLM 5, SiliconFlow, GPT-oss, Gemma 4, Qwen 3.5

Gemma Gem runs Google's Gemma 4 model entirely on-device via WebGPU — no API keys, no cloud, no data leaving your machine.

AI That Builds Screens, Not Just Text

🚀 Pytorch Distributed native training library for LLMs/VLMs with OOTB Hugging Face support

PokeClaw (PocketClaw) — first on-device AI that controls your Android phone. Gemma 4, no cloud, no API key. Poke is short for Pocket.

Local AI Assistant on your phone

Local AI desktop app — chat, agent mode, image gen, video gen. Supports Ollama, Gemma 4, Llama, Qwen, OpenAI, Anthropic. Single .exe, no Docker.

Fast Gemma 4 inference in pure Java

A privacy-first Android chat app that runs large language models entirely on-device. No internet, no cloud, no tracking. Built with Kotlin, Jetpack Compose, and llama.cpp with optimized ARM NEON/SVE inference.

Standalone Gemma 4 PyTorch Model by Claude Code

Interactive CLI for creating & running multiple agents across CLI, Slack & WhatsApp; 100% local, thanks to Ollama & Gemma 4

Standalone Gemma4 PyTorch Model by Codex (GPT-5.4 xhigh)

A C# inference engine for running large language models (LLMs) locally using GGUF model files. TensorSharp provides a console application, a web-based chatbot interface, and Ollama/OpenAI-compatible HTTP APIs for programmatic access.

Experiments running offline LLMs in Python and Rust locally using Ollama and llama.cpp

The YAML standard for AI agent governance. Write rules once, compile to any runtime. Deterministic. Sub-microsecond. Three templates: enterprise, DAO, AI safety. Seven governance laws.

Dockerized inference server and benchmarks for Gemma 4 26B on the NVIDIA DGX Spark (GB10). Features ARM64 CUDA 13 builds using llama.cpp.

LiteRT-LM for .NET

🔥 Python / Mojo Interface for Google Gemma 4

100-question benchmark comparing proprietary (2025) and open-source (2026) LLMs.