AI Agent Frameworks Packages
Frameworks for building LLM agents with tools, memory, and orchestration for multi-step, autonomous workflows (LangChain, LlamaIndex, CrewAI, LangGraph).
Packages in AI Agent Frameworks
MCP TypeScript SDK
The official TypeScript SDK for building Model Context Protocol servers and clients.
AI SDK
Provider-agnostic TypeScript toolkit for building AI apps and agents with any LLM.
Anthropic TypeScript SDK
The official TypeScript and JavaScript SDK for building on Anthropic's Claude API.
LangChain
The most widely adopted Python framework for building LLM-powered agents and applications
LangChain.js
The TypeScript framework for building LLM-powered apps and AI agents from interoperable, swappable components.
LangGraph
A low-level orchestration framework for building stateful, multi-actor LLM agents as graphs
LangChain Community
Community-maintained third-party integrations for LangChain, covering chat models, vector stores, tools, and retrievers.
FastMCP
The fast, Pythonic framework for building Model Context Protocol servers, clients, and apps
ACP TypeScript SDK
Official TypeScript SDK for the Agent Client Protocol connecting editors and AI coding agents
Chat SDK
A unified TypeScript SDK for building chat bots and AI agents across every major messaging platform
OpenAI Agents SDK
OpenAI's provider-agnostic Python framework for building multi-agent LLM workflows with tools, guardrails, and tracing.
rmcp
The official async Rust SDK for building Model Context Protocol clients and servers
@e2b/code-interpreter
JavaScript/TypeScript SDK for running AI-generated code in stateful, isolated E2B cloud sandboxes
Pi
Self-extensible AI coding agent CLI with a terminal UI, tool calling, and session management
Mem0
Universal memory layer that gives AI agents and assistants long-term, personalized recall
