Cursor インストールガイド
開発者向け MCP サーバーとよく使われる AI コードエディタ。
MCP Servers
A self-modifying, self-verifying AI agent with persistent state. Reads its own source code. Plans changes. Tests them in a sandbox before applying.
makes it easy to deploy and serve Haystack Pipelines and Agents.
(pronounced arc one [ɑːrk wʌn]) — Enterprise-ready MCP server for SAP ABAP systems. Secure by default, deployable to BTP or on-premise, and hardened with large unit/integration/E2E test coverage.
Deploy anything on your own servers. Connect a server, click deploy, done. MIT licensed and free to self-host forever.
Self-hosted audit trail for AI agents — one command or one dashboard click from any step back to root cause.
Hosted uptime monitoring and public status pages for teams. Multi-region checks, automatic incidents, on-call alerts (Slack/Telegram/webhook/+), subscribers, REST API, Terraform provider, MCP server.
AgentStack is a production-grade multi-agent framework built on Mastra, delivering 50+ enterprise tools, 25+ specialized agents, and A2A/MCP orchestration for scalable AI systems.
Keep Claude Code context clean. Open-source toolkit: drift detection, re-read dedup, integrity scoring, AST-aware reads, 15 MCP tools. 62.6% measured savings, reproducible.
Local RAG layer and optimizer for your Markdown knowledge base. CLI + MCP server: grounded answers for any AI client, stale-note detection, session harvesting into memories. Local-first.
Find local coding-agent sessions and copy their user and assistant messages into another agent's native format. TUI, CLI and MCP.
A local-first Playwright test automation toolkit for AI coding agents (Cursor, Claude Code, Copilot), with MCP tools for codegen, browser control, and recordings.
GCO is a platform that spins up EKS Auto Mode clusters across AWS regions, wired together with Global Accelerator for low-latency routing.
Agent Skills
一个同时兼容 Claude Code 与 Codex 的编程核心工作流 Skill。
面向 AI Agent 的阿里云 ECS 问题排查技能集（Agent Skills）。
Locate every paper in the literature, not just in a summary.
- using GLiNER-PII and LLM-based augmentation and validation - — LLM-generated substitute, redact, annotate, or hash (deterministic, local) - before full runs with display_record() visualization
A collection of Agent Skills that give a coding agent architectural skills to build scalable, maintainable Django projects with clean separation of concerns, testability, and a full suite of best...
Drop anything you have to any agent or LLM. No polishing, no expensive resume consultants, no prep work needed.
OpenHarness — 24/7 Autonomous AI Framework For OpenClaw
Agent skills for data, visualizations, and design. Built on the Agent Skills spec, distributed as a Claude Code plugin marketplace.
This repository is the canonical source for a simple cloud factory: a set of agent skills and GitHub Actions workflows for moving work from an incoming issue to a verified change.
- — wrap third-party SDK clients (Stripe, Resend, AWS, etc.) with Effect using the "use" pattern: type-safe tagged errors, automatic tracing spans, config-based secrets, and clean dependency...
你可能需要花时间整理材料，把问题发给大模型，review大模型给的答案，再去尝试理解某些晦涩的概念，并判断大模型的回答是否足够可信。忙完以上的一切，还要忙着去除人机味
Create editable ad video projects from a URL with an AI coding agent. The skill plans the ad, then renders with either Remotion or Hyperframes. No video-generation AI required.