The TypeScript toolkit for building AI apps. Unified API across OpenAI, Anthropic, Google. Streaming, tool calling, structured output, multi-step agents. 50K+ GitHub stars.
The Vercel AI SDK is the standard TypeScript library for building AI-powered applications. It provides a unified interface - write code once, swap between OpenAI, Anthropic, Google, or any provider. Key features: streaming chat responses, structured JSON output with Zod schemas, tool calling with automatic execution, and multi-step agent loops. The `ai` core package handles the LLM interaction, `ai/react` provides React hooks (useChat, useCompletion), and `ai/rsc` enables server-side streaming with React Server Components. Over 50K GitHub stars. I use it in nearly every project and built a complete course on it for this site.
Frontend stack for agent-native apps. React hooks, prebuilt copilot UI, AG-UI runtime, frontend tools, shared state, and human-in-the-loop flows.
TypeScript-first AI agent framework. Agents, tools, memory, workflows, RAG, evals, tracing, MCP, and production deployment for Node.js apps.
Anthropic's Python SDK for building production agent systems. Tool use, guardrails, agent handoffs, and orchestration. Released alongside Claude 4.
Most popular LLM framework. 100K+ GitHub stars. Chains, RAG, vector stores, tool use. LangGraph adds stateful multi-agent workflows with cycles and persistence.
The TypeScript toolkit for building AI apps. Unified API across OpenAI, Anthropic, Google. Streaming, tool calling, structured output, multi-step agents. 50K+ GitHub stars.
Try Vercel AI SDKHonest takes on AI dev tools, frameworks, and infrastructure - delivered to your inbox.
Subscribe FreeFrontend stack for agent-native apps. React hooks, prebuilt copilot UI, AG-UI runtime, frontend tools, shared state, and human-in-the-loop flows.
Anthropic's Python SDK for building production agent systems. Tool use, guardrails, agent handoffs, and orchestration. Released alongside Claude 4.
Most popular LLM framework. 100K+ GitHub stars. Chains, RAG, vector stores, tool use. LangGraph adds stateful multi-agent workflows with cycles and persistence.
Step-by-step guide to building an MCP server in TypeScript - from project setup to tool definitions, resource handling, testing, and deployment.
AI AgentsDeep comparison of the top AI agent frameworks - LangGraph, CrewAI, Mastra, CopilotKit, AutoGen, and Claude Code.
AI AgentsConfigure Claude Code for maximum productivity -- CLAUDE.md, sub-agents, MCP servers, and autonomous workflows.
AI Agents
A companion guide to the Agents 101 video: a behind-the-scenes walkthrough of building and deploying AI agents fast on V...

Vercel just declared the agent stack: AI Gateway, Sandbox, Flags, and Microfrontends. Here is how the four primitives co...

A new paper proposes inverting traditional agent architecture - making the append-only event log the source of truth, no...

Flue is trending because it names the part of agent infrastructure that is becoming product-critical: the programmable h...

Durable execution lands on Vercel. What it means for agents, long-running flows, and indie dev stacks - with code, gotch...

One dev, one CLI, 24 subdomains, and a lot of parallel agents. The playbook for shipping an AI app portfolio.

New tutorials, open-source projects, and deep dives on coding agents - delivered weekly.