kellyvv/PhoneClaw
PhoneClaw turns phones into local AI agent runtimes with on-device models, native mobile Skills, LiveLand, and optional Mac Gateway inference.
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Task-focused AI systems and agent frameworks.
PhoneClaw turns phones into local AI agent runtimes with on-device models, native mobile Skills, LiveLand, and optional Mac Gateway inference.
This is end to end course on AI Agents and Agentic AI with 15+ AI Agent Projects with real time use cases and industry expertise.
Self-paced bootcamp on Generative AI. Tutorials on ML fundamentals, Ollama, LLMs, RAGs, LangChain, LangGraph, Fine-tuning, DSPy & AI Agents (CrewAI), (Using ChatGPT, gpt-oss, Claude, Qwen, Gemma, Llama, Gemini)
A curated collection of LLM-powered Flutter apps built using RAG, AI Agents, Multi-Agent Systems, MCP, and Voice Agents.
Free-first, model-adaptive coding agent runtime that makes local small LLMs work reliably with harness, checkpointing, verification, cache-aware context, and free-model fallback.
Local browser agent: MLX + Chrome DevTools Protocol. Handles cross-origin iframes, Shadow DOM, ProseMirror. Runs on Apple Silicon, no cloud.
AI agent engine with 22 chat channels, 65 tools, and 15 skills. Self-hosted, local-first, works with any LLM provider.
Pessoa: Local, LLM Agnostic AI Agent Infrastructure
Experimental local-first Android AI agent built with Kotlin and Jetpack Compose, featuring on-device Gemma models, policy-controlled tool calling, and safe Android automation.
Kotlin Multiplatform application showcase with llama.cpp on device LLM inference & Koog.ai agent
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