Replace chaotic AI code generation with a disciplined, spec-driven workflow. SDD Pilot enforces structured development phases and quality gates, leveraging AI agents to conduct online research for best practices and plan your architecture before a single line of code is written.
A memory system using mem0 for AI applications. Enables long-term memory for AI agents as a drop-in MCP server.
A pixel desktop pet that watches Claude Code, Codex, Cursor & other AI coding agents — so you don't have to.
Stop babysitting local AI agents. Just notifications, approve, and resume your Codex,Pi,Grok, or Claude code sessions anywhere. 0-Intrusion mobile control bridge via Telegram/微信/飞书. No hooks, no skills, no MCP.
The easiest way to use Claude Code with any LLM. Install the app, pick your provider, done.
Coordinate your coding agents like a group chat — read receipts, delivery tracking, and remote ops from your phone. One pip install, zero infrastructure. A production‑minded orchestrator for 24/7 workflow
Find that one coding agent session you want to get back to!
AI agents and Nix: parametrable skills/instructions and tools, packaged together in a reproducible and modular fashion
Observal is self-hosted registry for your coding agent extensions with a built in insight engine. Setup Observal, define the scope and share your Skills, MCPs and Agents with your peers.
OpenSpec Plus — Agentic skills that enhance OpenSpec's Spec-Driven Development through better discovery, requirements, design decisions, execution planning and execution. Works with Claude Code, OpenCode, Github Copilot and any other AI coding agents
Community-contributed instructions, agents, skills, and configurations to help you make the most of GitHub Copilot.
Dedicated agent skills for building, upgrading, and maintaining Shopify Hydrogen storefronts — works with Claude, Cursor, Copilot, and more.
The most frequently used agent skills of Wade Foster, CEO of Zapier
Markdown that steers an LLM is code. Genesis is the architectural layer for designing multi-agent, multi-skill systems -- with named patterns, contracts, and substrate portability, before you write them.
APISIX Model Context Protocol (MCP) server is used to bridge large language models (LLMs) with the APISIX Admin API.