
A high-performance, asynchronous toolkit for building MCP servers and clients in Rust.

A high-performance, asynchronous toolkit for building MCP servers and clients in Rust.
flow + prompt = flompt - Visual AI Prompt Builder. Decompose, edit as flowchart, recompile into optimized machine-readable prompts
💾 MOI: agent-agnostic generative UI workspace. Give your agent a skill and let it build software around itself.

Build and run agents you can see, understand and trust.
A Low-Code MCP Framework for Building Complex and Innovative RAG Pipelines
The Rust SDK for building coding agents. Tools, streaming, graph, sub-agent orchestration, MCP — as composable functions
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
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.

💻 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.
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.