Stop configuring your AI stack. Start using it. One command brings a complete pre-wired LLM stack with hundreds of services to explore.

An autonomous agent that conducts deep research on any data using any LLM providers

MCP server that gives any LLM its own computer — managed Docker workspaces with live browser, terminal, code execution, document skills, and autonomous sub-agents. Self-hosted, open-source, pluggable into any model.

Tool-to-Agent Protocol: tools can be smart without embedded LLM calls.

Lemonade helps users discover and run local AI apps by serving optimized LLMs right from their own GPUs and NPUs. Join our discord: https://discord.gg/5xXzkMu8Zk

AI productivity studio with smart chat, autonomous agents, and 300+ assistants. Unified access to frontier LLMs

A Model Context Protocol (MCP) server that retrieves information from Wikipedia to provide context to LLMs.

A MCP server that supports mainstream eBook formats including EPUB, PDF and more. Simplify your eBook user experience with LLM.

An MCP server that lets LLM agents play Civilization VI.

AI coding tool skill (e.g., Claude Code) centered on Karpathy's LLM Wiki pattern turns codebases into wikis, auto-analyzes, and generates docs similar to DeepWiki and ZRead with diagrams.

Open-source observability & evaluation platform for AI agents and coding agents. Trace LLMs, tools, prompts, costs & agent workflows with OpenTelemetry.

LLM-Driven Extraction of Unstructured Data — Built for API Deployments & ETL Pipeline Workflows

The python library for research and development in NLP, multimodal LLMs, Agents, ML, Knowledge Graphs, and more.

Powerful CLI and MCP server for WorkFlowy: reports, search/replace, backup support, and AI integration (Claude, LLMs)

Fastest way to scaffold your LLM powered personal knowledge base - Obsidian, Claude Code, qmd, Github

Templates and workflow for generating PRDs, Tech Designs, and MVP and more using LLMs for AI IDEs

Control and query Home Assistant from Claude and other LLMs — a Model Context Protocol (MCP) server.

The theory of LLM wikis, running as one. A framework for agent-operated knowledge: typed, linked, review-gated markdown your agents execute.

An MCP server for interacting with Sentry via LLMs.

A curated guide to convention files AI agents read, write, and act on: AGENTS.md, CLAUDE.md, SKILL.md, llms.txt, MCP configs, rules, and examples.

Fast, local-first web content extraction for LLMs. Scrape, crawl, extract structured data — all from Rust. CLI, REST API, and MCP server.

Markdown that steers an LLM is code. Genesis is the architectural layer for designing multi-agent, multi-skill systems -- with named patterns, contracts, and substrate portability, before you write them.

Vetix — Automated scanning, identification, and assessment of SKILL security risks.

Official Microsoft Learn MCP Server and CLI tool – powering LLMs and AI agents with real-time, trusted Microsoft docs & code samples.