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.

🤖 Build fullstack AI applications using the Model Context Protocol (MCP) with a microservices architecture and Claude as the LLM engine.

🔌 Simplify PostgreSQL interactions with a secure MCP server for LLMs, enabling efficient access to schemas, tables, and query execution.

The SmythOS Runtime Environment (SRE) is an open-source, cloud-native runtime for agentic AI. Secure, modular, and production-ready, it lets developers build, run, and manage intelligent agents across local, cloud, and edge environments.

Everything you need to build, deploy, and collaborate with agents. Ride the llama, avoid the drama.

Production-ready infrastructure for AI agents. Deploy, orchestrate, and scale agent workflows with Vercel-like developer experience.

Fast and intuitive evals on any LLM

Type-safe DAG execution engine for AI workflows

Visual Workflow Builder made for Microsoft's Agent-Framework

Production-ready Next.js template for building AI agents with LangGraph.js. Features MCP integration for dynamic tool loading, human-in-the-loop tool approval, persistent conversation memory with PostgreSQL, and real-time streaming responses. Built with TypeScript, React, Prisma, and Tailwind CSS.

Daydreams is a set of tools for building agents for commerce

Eremos is a lightweight framework for deploying autonomous swarm agents that detect early on-chain activity across Solana.

Multi-agent AI teams that work like real software organizations. Orchestrate Claude Code, Codex & Gemini CLI with human team dynamics - delegation, collaboration, Jira integration.

🥷 MCP Playground: Fullstack AI agent template. Claude + microservices = modular superpowers. Enable weather, DB, files tools from UI gallery. Built for hackers who ship to production 🚀🔥

express.js styled agent orchestration Library for typescript community

An enterprise-grade AI agent framework based on LangChain and LangGraph, featuring dynamic tools, interceptors, breakpoints, and performance monitoring.

The first of a kind "AGENT AS A BACKEND" : Advanced AI/ML Agent Framework with TypeScript support, multi-model capabilities, vision controls, and comprehensive AI/ML model support including LLM, SLM, MLM, Vision, ASR, TTS, RL, GNN, RNN, CNN, GAN, Diffusion, Transformer, MLP, Autoencoder, BERT, RAG, Hybrid, Foundation, and fine-tuning

A context-building execution engine for AI-native programming

Document-first CLI for building agent workflows in Markdown and JSON.

TinyAgent brings the core ideas of the original Python library into a lean, zero-dependency TypeScript package. It turns plain functions into LLM-driven tools and lets you chain them together through a simple ReAct-style loop.