huggingface
13 servers · 1,218★ total
On-premises conversational RAG with configurable containers
Deploy production-ready AI services in minutes. One YAML file for agents, RAG pipelines, and MCP servers — run anywhere. Inspired by docker-compose.
Private, on-device AI desktop app — GGUF (llama.cpp) & MLX models, a local coding agent, RAG knowledge base, Deep Research, vision and voice. 100% offline, no account, no telemetry. Windows & macOS.
An MCP server for dataset generation, fine-tuning, RL, and evaluation of LLMs — directly from your coding agent.
The most capable Calibre MCP server — full read/write tools plus multilingual semantic search over your whole ebook library or a single book. For Claude & any MCP client.
Lightweight RAG server for the Model Context Protocol: ingest source code, docs, build a vector index, and expose search/citations to LLMs via MCP tools.
A hands-on LangChain course with 100+ runnable labs — RAG, tools, agents, MCP, structured outputs, and multi-provider LLM support.
Local-first GenAI lab with a React frontend and Spring Boot backend, supporting Ollama, Amazon Bedrock, Hugging Face, RAG document retrieval, MCP-backed AWS tools, streaming chat, persistent sessions, and artifact/report workflows.
Agentic pipeline: GitHub releases → AI-powered PDF release notes → Discord. Built with MCP, FastAPI, Claude API, and ReportLab.
Repository containing practical exercises and notebooks focused on AI application development and experimentation.
AI tool discovery engine with live search agent, Google Auth, MCP server, and auto-updating HuggingFace dataset
Self-hostable Model Context Protocol (MCP) server that turns folders of skills & agents into tools any MCP client can discover and run. FastAPI + Next.js, deployable to Hugging Face.
Model-agnostic multi-agent orchestration built on CrewAI. YAML-driven agent and MCP catalogs, dynamic LLM planning, sessions, and pluggable execution — mix Ollama, OpenAI, Anthropic, HuggingFace, and your own tools without rewriting orchestration logic.