What hardware do I need?
The kit supports Nvidia GPUs (via Docker profile), Mac/Apple Silicon (CPU-only or with external Ollama), and CPU-only environments for all other setups.
@cedricdcc
基本信息
pydantic agent workflow using mcp servers to test out advanced retrieval of linked data
工具列表暂未提供
当前收录暂时没有可展示的工具列表,不代表服务没有工具。请查阅项目文档了解支持的能力。
工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。
The Self-hosted AI starter kit is an open Docker Compose template that quickly bootstraps a fully featured Local AI and Low Code development environment. It combines the self-hosted n8n platform with curated AI products including Ollama, Open WebUI, Flowise, Qdrant, and PostgreSQL. This version by coleam00 adds Open WebUI and Flowise improvements and includes a pre-configured local RAG AI Agent workflow.
Clone the repository, navigate to the local-ai-packaged directory, and run docker compose with the appropriate profile (--profile gpu-nvidia, --profile cpu, or without a profile for Mac). Then open http://localhost:5678/ to set up n8n and http://localhost:3000/ to set up Open WebUI. Configure credentials for Ollama, Postgres, Qdrant, and optionally Google Drive, then activate the included workflow and paste the n8n_pipe.py code into Open WebUI’s Functions.
The kit supports Nvidia GPUs (via Docker profile), Mac/Apple Silicon (CPU-only or with external Ollama), and CPU-only environments for all other setups.
Run `docker compose --profile <profile> pull` followed by `docker compose create && docker compose --profile <profile> up`, using the same profile as your initial installation.
A shared folder is mounted to the n8n container at `/data/shared`. Nodes like Read/Write Files from Disk, Local File Trigger, and Execute Command can access files there.
For Docker-based setups, use `http://ollama:11434` as the Ollama URL. For Mac users running Ollama natively, use `http://host.docker.internal:11434/`.
The starter kit is designed to help get started with self-hosted AI workflows for proof-of-concept projects and is not fully optimized for production environments, though it uses robust components.
Console, Backend and CLI to manage Capgo Instant update and Native build for Capacitor apps Build and upload to app store your mobile app

One case file per task — shared by every session, agent and person that touches it. Self-hosted MCP server and live board. MIT.
MCP server that lets Claude Code, Cursor or Codex ask you for API keys on a local page and write them to .env. The agent only ever sees key names.


Know when your AI agents, cron jobs and CI pipelines fail, stall or go quiet. Your agent sets up monitors from a plain description, tells you what is broken and why, reads run history and traces, and writes notes on inci
评论