Cursor Install Guide
AI code editor frequently used with developer-focused MCP servers.
MCP Servers
MCP server that gives any LLM its own computer — managed Docker workspaces with live browser, terminal, code execution, document skills, and autonomous sub-agents.
Specialized bridge designed to connect LLMs and AI agents directly to Siemens SIMATIC TIA Portal V21.
Local-first knowledge compiler for humans and agents. Inspired by Karpathy's vision. Plain markdown, CLI + MCP server.
Local macOS control server for MCP clients and Custom GPT Actions
Git-native API client with encrypted secrets.
Secrets management for AI agents via MCP • @janeesecure
Reliability gateway for AI tool output: schema-stable, secret-safe, pagination-complete JSON for MCP and CLI agents.
A self-modifying, self-verifying AI agent with persistent state. Reads its own source code. Plans changes. Tests them in a sandbox before applying.
Four small MCP tools that let apfel (Apple's on-device LLM) reach the web and read local files: url-fetch (read a page), ddg-search (web search), search-and-fetch (search+read in one call), fs...
Add vision to text-only models in Opencode (, ) — , no manual file saving.
This project is . Please provide feedback via GitHub issues.
An MCP server that provides access to LLMs using the LlamaIndexTS library.
Agent Skills
A collection of agent skills for pharmaceutical R&D.
Agentic IDE with custom harness
Lore injection: how fabricated memory becomes model trust
Claude Code / Codex skill — 面向中国 AI / ML 研究者，主投 、次投 、必要时冲刺 的论文写作技能。
Project management skill system for Agents that uses GitHub Issues and Git worktrees for parallel agent execution.
首先感谢 Andrej Karpathy 的《LLM Wiki》原文。这个项目直接受那篇 idea file 启发而来。
adds freshness decay (time-weighted memory), claim verification (verify_file_path MCP tool), 12 MCP tools (was 8), and 30+ bug fixes.
Curated guidance for AI assistants building MapLibre applications — covering ecosystem and open-source best practices.
Before I go to bed, I tell my agents: good night, have fun
A portable Agent Skill for AI product engineering + open-source maintainer intelligence . Map the repo. Route the task. Review risk. Prepare releases. Harden automation. Prove the result.
Stop TODO leftovers, leaked secrets, sloppy commits and red CI from reaching main — with zero review bandwidth spent on the obvious stuff.
A Hierarchical AI Agent Skill Set for managing AOSP platform integration, built on an MMU-driven Memory Model.