Claude Desktop Руководство установки
Десктопный клиент с поддержкой локальной конфигурации MCP.
MCP Servers
Shell and coding agent on mcp clients
执行 uvx mijiaAPI login -p /path/to/auth.json 登录后，在 MCP 客户端配置中添加以下内容即可接入米家：
Convert Any OpenAPI V3 API to MCP Server
"You never truly know the value of a moment until it becomes a memory."
An open-source, bilingual, AI-native Web3 curriculum for beginners, builders, and agents. 11 modules, 62 lessons, AI Tutor, badges, SEO prerendering, llms.txt, and a read-only MCP server.
An MCP server for interacting with Google Colab
AST-based call graph analysis + semantic search — right from your terminal.
just-prompt is an MCP server that provides a unified interface to top LLM providers (OpenAI, Anthropic, Google Gemini, Groq, DeepSeek, and Ollama)
The missing integration layer for AI agents. Let them call any OpenAPI / MCP / GraphQL / custom js functions in secure environment.
Generative UI examples for: AG-UI, A2UI/Open-JSON-UI, and MCP Apps.
Runno is a collection of JavaScript Packages for running code in various languages inside a sandbox. It's made of the following packages:
MCP to allow AI agents to control Unreal
Agent Skills
This repository provides a collection of composable Dockerfiles and build scripts for deploying and running software, full applications, and select demonstrators on AMD Ryzen AI hardware.
🧬 Darwinia Give your AI agent the power to evolve its own trading strategies. Trading agents that discover strategies through Darwinian selection and adversarial self-play — not human-written rules.
Why use many token when few token do trick?
小提示：导入数据时**，尽量不要用 JSON——多数微信导出工具的 JSON 是给 LLM 微调用的格式，没有时间戳，跑不出 K 线。详见 输入格式。
—— 一套可被任意 AI agent（Claude / GPT / Cursor…）使用的**。
面向 AI Agents 的安全、可持久化沙箱执行平台（Secure, Persistent Execution Platform for AI Agents）
Your future self will thank you. Or blame you. It depends on the diff.
TL;DR: Thea brings coding agents to the physical world.
A Claude Code plugin that audits your mobile app against store review policies — the store rejects it.
A grab-bag of experimental transformer kernels and utilities (mostly PyTorch + Triton).
10 agentes (8 de núcleo, Selina si hay frontend y Lucius bajo demanda), catálogo de 11 skills de proceso, memoria persistente de decisiones por proyecto, 6 flujos de trabajo con quality gates...
Most research-idea workflows fail in one of three ways: