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로컬 MCP 설정을 지원하는 데스크톱 클라이언트.
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
The system of action for AI-native cybersecurity—where intent becomes governed execution, evidence becomes operational memory, and every operation improves the next.
provide for AI agents, helping them build complete automated document workflows. Before large-model reasoning begins, ComPDF Skills can handle document parsing, OCR, data extraction, and structured...
Codex-first toolkit for open-source maintainers: AGENTS.md, skills, automation, and verification workflows.
用 GitHub 打造 AI 智能体：长期记忆 + AI Agent 技能包（UI/UX、图片生成、SEO）+ GitHub Actions 自动化 + Copilot 编程 Agent，支持 Vibe Coding 快速孵化项目。
micro-agent orchestrator for local agents
AI agents should not give project advice from vibes.
Lightweight AI assistant framework in Rust with pluggable LLM providers (Ollama, llama.cpp, vLLM), built-in tool calling, agent skills, and customizable system prompts.
This repo contains the (the heavy, browsable skill files).
Running 5 AI agents in parallel is easy. Making them not break each other's code is the hard part.
for creating, directing, validating, and delivering image, video, audio, voice, music, 3D, avatar, and interactive media.
🧠 plan · 🔨 implement · 🔍 review · ✅ QA gate · 🚢 merge Thirty-five agent skills that run a full PR pipeline. Install them into any repo, with any coding agent.
A structured Agent workflow for CUMCM, MCM/ICM, and Diangong Cup — designed to keep a 72–96 hour modeling project coherent from the first decision to the final submission.