Claude Desktop Install Guide
Desktop client with local MCP configuration support.
MCP Servers
Semantic Code Intelligence for AI Coding Agents
Your notes live in a folder. Same .md files. Chat with your vault. Schedule recipes that run when you're not at the keyboard. Hand the same vault to any MCP client.
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⚡ High-performance job queue for Bun. SQLite by default, PostgreSQL multi-broker when you scale. DLQ, cron, SQLite S3 backups, and native MCP. No Redis.
Vite plugin that enables a MCP server helping models to understand your Vue app better.
Local MCP server for DuckDB and MotherDuck
Phone numbers as tools. Your agent orders a private number in the country a service expects, reads the SMS verification code straight from the API, and hands the number back.
- Research Twitter and Post Twitter(https://www.youtube.com/watch?v=--QHz2jcvcs)
Your agents forget everything between sessions. MemMesh gives them durable, typed, searchable memory that lives on your machine — no vector database, no search cluster, no mandatory LLM calls.
Everything I've found that actually makes Claude Code output better-looking frontends. Skills, plugins, MCP servers, CLAUDE.md tricks, organized by what you're trying to do.
Permanent memory for AI agents. Single binary, zero dependencies, MCP native.
A persistent, Git-versioned map of your whole codebase and database schema that coding agents read before they touch anything.
Agent Skills
The definitive list that answers "I want to do X in Python, which tool should I use?"
YYLO (why-lo): AI coding-agent orchestration CLI with equivalent yylo and yy launchers.
Memory library for building stateful agents
⭐️⭐️⭐️微服务商城系统 springcloud微服务商城 小程序商城
Not quite vibe-coding. Not quite boomer coding. Something else.
Graph-based issue tracker for AI agent coordination
Copy this repo into any project. Claude Code, Codex, and other agentic tools then follow the same gated process — spec, plan, task cards, implementation, verification, review — before code reaches...
:warning: — The Windows App Development CLI (winapp CLI) is experimental and in active development. We'd love your feedback! Share your thoughts by creating an issue.
LiteRT-LM is Google's production-ready, high-performance, open-source inference framework for deploying Large Language Models on edge devices.
Independently written prompt templates for building AI coding agents, inspired by patterns observed in Claude Code codebase.
A curated list of reusable skills, workflows, and tool-backed capabilities for AI agents.
Blocks specific sites from appearing in Google search results