A TypeScript framework for building MCP servers.
The open-source TypeScript framework for building AI workflows and agents. Designed for Claude Code describe what you want, Claude builds it, with all the best practices already in place.
Build resilient agents.

Build and run agents you can see, understand and trust.
The Rust SDK for building coding agents. Tools, streaming, graph, sub-agent orchestration, MCP — as composable functions
Trigger.dev – build and deploy fully‑managed AI agents and workflows
Building blocks for frontier OpenAI agents in Rust. Nanocodex empowers you with Codex-level performance anywhere.

An open-source, code-first Go toolkit for building, evaluating, and deploying sophisticated AI agents with flexibility and control.
The full-stack TypeScript framework to build, test, and deploy production-ready MCP servers and AI-native apps.
Code, Build and Evaluate agents - excellent Model and Skills/MCP/ACP/A2A Support
MCP Server Framework and Tool Development library for building custom capabilities into agents.

A Model Context Protocol (MCP) client library and debugging toolkit in Rust. This foundation provides both a production-ready SDK for building MCP integrations and the core architecture for an interactive debugger.
🌋 Build AI agents that seamlessly combine LLM reasoning with real-world actions via MCP tools — in just a few lines of TypeScript.
A Go framework for building production agent systems with graph workflows, tools, memory, A2A, AG-UI, MCP, evaluation, and observability.
Build an agent harness and control it end-to-end. Open-source SDK for production AI agents in Python & TypeScript - any model, any cloud.
Semi-Structured Agentic Framework. Workflows build themselves as agents discover what needs to be done, not what you predicted upfront.
Open-World Self-Evolution for LLM Agents — agents that build both their skills and their own verification signals from scratch, with no target-task supervision. (Code coming soon.)
Bug bounty agent framework for Claude Code, Codex, Gemini, Cursor, Windsurf, Copilot, and OpenClaw — 48 agents, 26 commands, 19 CLI tools, 2 MCP servers, autonomous hunt loops, exploit chain builder.
Cloud Native Agentic AI | Discord: https://bit.ly/kagentdiscord
A Go agent harness and service framework
blazigly fast gRPC/MCP client & server implementation in zig
ScaledMCP is a horizontally scalabled MCP and A2A Server. You know, for AI.
The official Java SDK for Model Context Protocol servers and clients. Maintained in collaboration with Spring AI
Mastra is the modern TypeScript framework for AI-powered applications and agents.