Your personal AI runtime, local-first. Patchwork OS gives any AI model a consistent set of tools, YAML recipes, a delegation policy with approval queue, and a durable trace memory — all on your machine, all under your policy.

Inspect 1NFER models, crypto funding terms and task cost without keys or paid calls.

Daily AI signals for agents: today's 4 signals, what changed, ranked models and repos

x64dbg-MCP Server is a native MCP (Model Context Protocol) plugin for x64dbg that exposes the debugger's full functionality over HTTP. Connect any MCP-compatible AI assistant and control x64dbg programmatically: set breakpoints, step through code, read memory, dump registers, and more. Built with Zig — zero dependencies, single-binary output, cros

HVAC MCP server — fault codes, model lookup and answers cited to the OEM manual page.

A powerful multi-database server implementing the Model Context Protocol (MCP) to provide AI assistants with structured access to databases.

AI model prices per provider, benchmarks, own AI behavior tests and AI economy data, with sources.

This is a 12306 ticket search server based on the Model Context Protocol (MCP).

Use any LLMs (Large Language Models) for Deep Research. Support SSE API and MCP server.

Official data.gouv.fr Model Context Protocol (MCP) server that allows AI chatbots to search, explore, and analyze datasets from the French national Open Data platform, directly through conversation.

🪐 🔧 Model Context Protocol (MCP) Server for Jupyter.

A lightweight, rollbackable, and visual Long-Term Memory Server for MCP Agents. Say goodbye to Vector RAG and amnesia. Empower your AI with persistent, graph-like structured memory across any model, session, or tool. Drop-in replacement for OpenClaw.

Claw Orchestrator — run Claude Code, Codex, Antigravity, Grok Build, OpenCode, any ACP agent and custom coding CLIs as one unified runtime. Drop into Hermes Agent, Claude Desktop, Cursor, Cline, Continue, Zed, Windsurf, Goose or any Model Context Protocol

Thea Software is an engineering verification layer for AI agents that binds code changes to explicit validation commands. It bridges conversational models to robust software runtimes, enforcing automated build checks so that code drift and unverified changes are actively rejected.

Run local AI across all your computers. Toskar's MCP server lets Claude, Cursor, and other clients ask your own local models and search your connected knowledge, with nothing leaving your machines.

InnoShop is an AI-powered open source e-commerce system built on Laravel 13. It supports multiple AI models and native MCP (Model Context Protocol) for intelligent automation, with multi-language and multi-currency out of the box. Modular architecture and flexible plugin/theme system make it highly adaptable to diverse business needs.

vMLX - Use MLX models easily - JANGQ (GGUF for MLX) - Not dependant on mlx_vlm

A local catalogue of the AI tools people share in group chats: search it, save links, vote out junk, and file items into your own folders. Works with any model or none.

A unified Model Context Protocol server implementation that aggregates multiple MCP servers into one.

Agentic intelligence framework for Claude Code and Antigravity: slash commands, subagents, skills, hooks, governance, memory, and cost-aware model routing for AI-driven development.

An official Qdrant Model Context Protocol (MCP) server implementation

Enables agents to generate, refine, save, validate, and read sanitized SVG assets from text prompts through a local OpenAI-compatible model, with tools for listing and managing SVG files.

Enables searching sticker collections, viewing sticker images for visual models, and sending stickers—optionally with a short caption—to an authorized QQ session through a running QQ bridge.

Lets Claude and other MCP clients hand coding tasks to the Codex CLI as a sub-agent, running under the user's own Codex configuration so any configured model provider (OpenAI, DeepSeek, local models) does the work. Provides tools to start, poll, cancel and inspect jobs with compact change summaries, long-task handling, token-saving lean mode and clean process teardown.