A programming framework for agentic AI

Framework for orchestrating role-playing, autonomous AI agents. By fostering collaborative intelligence, CrewAI empowers agents to work together seamlessly, tackling complex tasks.

🚀 The fast, Pythonic way to build MCP servers and clients.

A Go implementation of the Model Context Protocol (MCP), enabling seamless integration between LLM applications and external data sources and tools.

The Application Engine for the AI Era. A multi-threaded, AI-native runtime with a persistent Scene Graph, enabling AI agents to introspect and mutate the living application structure in real-time.

TypeScript template for building Model Context Protocol (MCP) servers. Ships with declarative tools/resources, pluggable auth, multi-backend storage, OpenTelemetry observability, and first-class support for both local and edge (Cloudflare Workers) runtimes.

Keryx: The Fullstack TypeScript Framework for MCP and APIs

K:BOT — Local-first AI agent for your terminal. 39 specialists, 167 tools, 19 providers. Self-evolving, runs offline. Open-source.

Shared utilities and server orchestration for building MCP (Model Context Protocol) servers