v1.0.0 · Apache-2.0
Klavis AI: MCP integration platforms that let AI agents use tools reliably at any scale
— · Apache-2.0
MCP server and Claude plugin for Postgres skills and documentation. Helps AI coding tools generate better PostgreSQL code.
— · MIT
Multi-agent team operating system for Claude Code. 108 MCP tools, 40+ agent templates, 10 lifecycle hooks, 7 pipeline workflows. Persistent teams, structured meetings, task wall, real-time React dashboard. No LangChain/AutoGen — pure CC native integration.
— · MIT
Reusable project context and specialist workflows for the AI tools you already use. AIWG places agents, skills, commands, and rules in provider-readable locations, with optional utilities for artifact memory, workflow orchestration, recovery, and discover
v1.0.0 · MIT
AI-powered multi-agent system that automatically analyzes codebases and generates comprehensive documentation. Features GitLab integration, concurrent processing, and multiple LLM support for better code understanding and developer onboarding.
v0.1.0 · MIT
本项目整理了用于生成[炫酷 HTML 动画网页]的 AI Prompts,涵盖动画效果、3D 可视化、PPT 风格演示、UI 美化等多个类别。
— · no license
A set of Claude Code and GitHub Copilot plugins providing the AI Literacy framework's complete development workflow — harness engineering, agent orchestration, literate programming, CUPID code review, and the three enforcement loops
v2.0.1 · MIT
开源的企业版的数字员工工作台, OPC-Nexus(One Person Company Nexus)是一款本地优先的桌面 AI Agent 管理器。它为单人公司 / 独立开发者提供统一的 AI 数字员工管理平台 —— 从 Agent 创建、任务编排、多引擎接入,到消息渠道集成、工作流自动化和专家团协作,一站式覆盖。
v1.90.0 · Apache-2.0
Claude Code plugin & Agent Skills for AI-native development: codebase readiness scoring (/assess), Six Thinking Hats deliberation (/huddle), AI-slop removal (/deslop), skill hardening (/skill-forge), and more.
v2026.9.24 · MIT
Reusable project context and specialist workflows for the AI tools you already use. AIWG places agents, skills, commands, and rules in provider-readable locations, with optional utilities for artifact memory, workflow orchestration, recovery, and discover
— · AGPL-3.0-only
Create, verify, sign, publish, and run dossiers — the open standard for versioned, signed agent skills. Host them anywhere and verify who wrote them. The dossier ⇄ Claude Code skill bridge (install-skill / skill-export).
v0.1.0 · MIT
Audit AI applications and agents for security risks before commit, PR, merge, or deployment. Deterministic findings with coverage and evidence receipts.
— · MIT
Labs to explore AI Models, MCP servers, and Agents with the AI Gateway powered by Azure API Management and Microsoft Foundry 🚀
v2.1.0 · MIT
AI Agent Team-拥有24/7专业AI开发团队:产品经理、前端开发、后端开发、测试工程师、DevOps工程师、技术负责人。一键安装,支持中英文命令,大幅提升开发效率!
— · MIT
Multi-agent team operating system for Claude Code. 108 MCP tools, 40+ agent templates, 10 lifecycle hooks, 7 pipeline workflows. Persistent teams, structured meetings, task wall, real-time React dashboard. No LangChain/AutoGen — pure CC native integration.
v6.3.0 · SEE LICENSE IN LICENSE
MCP server for 2kw.ai — EU-hosted AI platform: OpenAI-compatible LLM gateway, schema-driven document extraction, transcription, agents with a knowledge base, and cost observability. 158 tools for Claude Code, Cursor, and Windsurf.
— · MIT
给AI伴侣增强时间感的小器官(电脑端专用)
— · MIT
AI agent skills for production grade applications
— · MIT
Wondel.ai Agent Skills — Business, Marketing, UX & Coding Frameworks from Bestselling Books. 50 skills + 12 guided journeys for Claude Code, Codex, Cursor & other agentskills.io agents.
v0.5.5 · MIT
Decision audit trail + persistent memory for AI trading agents. Outcome-weighted recall, tamper-evident SHA-256 chain with RFC 3161 anchoring, 20 MCP tools.
v0.5.0 · MIT
Pre-build reality check for AI coding agents. Scans GitHub, HN, npm, PyPI, Product Hunt. MCP server. 290+ stars.
v0.3.1 · Apache-2.0
ClearAI is a native DSH plugin that brings the Epistemic Loop to DeepSeek Harness.
v1.0.9 · SEE LICENSE IN LICENSE
Observability and enforcement for AI agent harnesses. 40 built-in policies hooked into 12 of them — Claude Code, Codex, Cursor, Hermes, OpenClaw and more — blocking the tool call before it runs. Local dashboard included, no account needed.
— · MIT
When the user wants to optimize content for AI search engines, get cited by LLMs, or appear in AI-generated answers. Also use when the user mentions 'AI SEO,' 'AEO,' 'GEO,' 'LLMO,' 'answer engine optimization,' 'generative engine optimization,' 'LLM optimization,' 'AI Overviews,' 'optimize for ChatG