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Hands-on course for building local, private AI from scratch - RAG, MCP, LangChain, LangGraph. Runs on your machine (Python, Node.js & C#) with Claude Code, Ollama, Gemini, or OpenAI. No Docker.
local-ai-lab is an MCP server entry in ChatHome Skills, sourced from GitHub MCP Search and scored 30/100. Hands-on course for building local, private AI from scratch - RAG, MCP, LangChain, LangGraph. Runs on your machine (Python, Node.js & C#) with Claude Code, Olla. As a Model Context Protocol server, it exposes tools that MCP-compatible LLM clients such as Claude, Cursor, and Copilot can call directly, extending an agent's reach beyond its built-in capabilities. ChatHome Skills discovered this entry through its daily ingest of official registries and GitHub discovery queries, and re-verifies repository facts, freshness signals, and install metadata on every run. The quality score weighs official-registry presence, a working install command, license clarity, GitHub star trajectory, and repository freshness — the full formula is on the Sources page. The install command above is ready to copy. Review the last-pushed date and repository status before adding local-ai-lab to a production agent workflow; the snapshot facts below are point-in-time values from the most recent ingest.
git clone https://github.com/nikolareljin/local-ai-lab.gitReview the upstream source before running this command.
Downloads a script and pipes it straight into a shell, executing remote code with no review.
curl -fsSL https://raw.githubusercontent.com/nikolareljin/local-ai-lab/main/setup.sh | bashDispute this flag?Scan coverage: Install metadata and repository README.
Automated signals from install metadata and a bounded skill body — not a full code security audit and not a recursive source or dependency review.
{
"fullName": "nikolareljin/local-ai-lab"
}Hands-on course for building local, private AI from scratch - RAG, MCP, LangChain, LangGraph. Runs on your machine (Python, Node.js & C#) with Claude Code, Ollama, Gemini, or OpenAI. No Docker.