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Co-op Anything: point your AI agent at any single-player game and play it with friends (online and/or splitscreen!). MCP server and playbook to let you reverse engineer, fix, test, ship and share what it learns.

A persistent, Git-versioned map of your whole codebase and database schema that coding agents read before they touch anything. Local-first MCP server + CLI in Go: a governed repository index of code knowledge that gives Claude Code, Codex, Cursor, and opencode long-term context, memory, and code intelligence.

The world's law in git: any provision, any country, any date, and the law that wrote each word.

  • git
  • law
  • legal-tech
  • legislation

AI digital-human talking-head videos from one photo: Renoise MCP generation + 5 editing styles + 48 creator-grade packaging components. Agent skill for Claude Code / Codex / OpenClaw / WorkBuddy …

TranslatedPersonal dining carbon footprint estimator powered by McDonald's MCP, with emission reduction simulation (麦麦碳账本, "McMac Carbon Ledger")

🦎 A lightweight, streaming-native, multi-protocol gateway for AI, APIs, and real-time data. Route LLM requests across providers, govern MCP tools, and connect Kafka, MQTT, and HTTP through one high-performance engine with shared security and observability.

Newsletters where you pay for the emails you send, not for dormant subscribers, at a fraction of the price of beehiiv and the like. Open source: self-host it, or use mailcheap.ai.

⛓️RuleGo is a lightweight, high-performance, embedded, next-generation component orchestration rule engine framework for Go.

  • go
  • rule-engine
  • edge-computing
  • iot

Translated麦麦预算餐 (Maimai Budget Meal): a Skill based on the McDonald's MCP for real price checking, budget comparison, and meal substitution

  • mcdonalds
  • mcp
  • python
  • skill

TranslatedMcDonald's MCP party/group meal organizing assistant — a CLI/Skill for party booking and group meal planning based on the Model Context Protocol

Source-available agent platform for Global × China enterprises — wire every system through one agent core. Self-hosted, any LLM.

TranslatedFull-stack learning roadmap and Chinese tutorials for large language models (LLM)🔥: covers Prompt Engineering, RAG, AI Agent, MCP, fine-tuning, model deployment, Transformer, AI programming, and interviews at major tech companies, from beginner level to production practice.

YC F26. Turn any website into an API / MCP in minutes. Open source core integration minting harness. MIT.