Agent Frameworks

Libraries and SDKs for building your own AI agents and multi-agent workflows in Python or TypeScript. Each page explains what the tool does, who it's for and how to set it up, checked against the official docs.

• Vercel

  AI SDK

  Vercel's provider-agnostic TypeScript toolkit for building AI apps and agents. It works with Next.js, React, Svelte, Vue, Angular and Node.js, and its UI hooks cover React, Svelte and Vue. One API covers OpenAI, Anthropic, Google and many more providers, either through Vercel AI Gateway (the default) or each provider's own package. Apache-2.0.

• CrewAI

  CrewAI

  A Python framework for multi-agent automation. Crews are teams of role-based agents that work together on a task; Flows are event-driven workflows with state and branching that can call crews. The CLI scaffolds projects, which are JSON-first by default. MIT licensed.

• LangChain

  LangGraph

  A low-level framework for building long-running, stateful agents as graphs. It provides durable execution (agents resume after failures), human-in-the-loop interrupts and short- and long-term memory. It works on its own or with LangChain and LangSmith. A JS version (LangGraph.js) is also available. MIT licensed.

• Mastra

  Mastra

  A TypeScript framework for AI apps and agents. It includes model routing across 40+ providers, agents with tools, graph-based workflows with suspend/resume, memory and RAG, MCP server authoring, evals and observability, plus a local Studio UI. Apache-2.0, except code in ee/ folders, which uses an enterprise license.

• OpenAI

  OpenAI Agents SDK

  A lightweight Python framework for building agents and multi-agent workflows. It covers agents with tools and handoffs, guardrails, human-in-the-loop, sessions, tracing, sandbox agents and voice/realtime agents. It works with OpenAI's APIs and, per the README, 100+ other LLMs. A JS/TS version exists too. MIT licensed.

• Pydantic

  Pydantic AI

  A typed Python agent framework from the Pydantic team. You define agents with typed outputs and tools, and switching model providers is a one-string change. Companion packages add a harness for long-running agents (files, shell, sub-agents) and Pydantic Evals for testing. MIT licensed.