Collection of Claude Skills for DSPy framework - program language models, optimize prompts, and build RAG pipelines systematically

Build autonomous AI agents in Python.

✨ Agentic chat experience in your terminal. Build applications using natural language.

TeamCity from your terminal – or your AI's. Builds, logs, agents, agent terminals, queues.

Build Awesome MCPs with Awesome Best Practices for MCP Servers and MCP Clients

Portable Agent Skills for building and maintaining Open Knowledge Format project wikis in plain Markdown.

Open-source AI agent with MCP UI, app builder, A2A protocol, skills marketplace, and multi-provider chat. Built with Mastra. Alternative to OpenClaw.

Trigger.dev – build and deploy fully‑managed AI agents and workflows

A Python library for building AI agents that leverage the full power of Google Antigravity.

Building blocks for frontier OpenAI agents in Rust. Nanocodex empowers you with Codex-level performance anywhere.

Composable Agent Skills (Claude + OpenAI Codex) for taking an idea from fuzzy → validated → sequenced build → shipped — a manual tier (ideate, deep-dive, prompt-pack) and an autonomous tier (autopilot, build-loop, audit-and-fix).

💻 vibe coding 101｜The first course for AI-native product builders.

Create AI Agents in a No-Code Visual Builder or TypeScript SDK with full 2-way sync. For shipping AI assistants and multi-agent AI workflows.

Framework for AI agents to build and maintain a digital brain through Obsidian wiki

Agents and skills for building Windows apps with WinUI 3 and the Windows App SDK

Open source version of Claude Managed Agents. Fastest way to build and deploy reliable AI agents, MCP tools and agent-to-agent.

The semantic layer for software engineering: Connect code to meaning, build on understanding

🚀 Universal SDK for building next-gen MCP servers

Agentic Coding for Builders who Ship

MCP server for building PocketBase apps really quickly - Need a front end quick consider FastPocket

An open-source, code-first Go toolkit for building, evaluating, and deploying sophisticated AI agents with flexibility and control.

A framework helps you quickly build AI Native IDE products. MCP Client, supports Model Context Protocol (MCP) tools via MCP server.

The full-stack TypeScript framework to build, test, and deploy production-ready MCP servers and AI-native apps.

Coding skill for building location-aware applications across the MapTiler platform.