Framework for building stateful, multi-step AI agent workflows as graphs. LangGraph enables cycles, branching, human-in-the-loop, and persistent state for complex agent systems.
这里应该同时让用户和 Agent 知道第一步该复制什么、安装什么、落到哪里。
pip install langgraph用图定义有状态的多步 AI Agent 工作流。
LangChain 出品的有状态 Agent 工作流框架。支持循环、分支、人工审批和持久状态，超越线性管线。
一句话总结：有状态 Agent 工作流图框架，支持循环/分支/人工审批/持久状态，LangChain 出品，LangGraph Cloud 托管，8k+ stars。
适合人群：构建复杂多步 Agent 工作流的团队。
Q: 需要 LangChain？ A: 不需要，独立库，但集成良好。
langchain-ai/langgraph — 8k+ stars, MIT
Comprehensive comparison of all AI coding agents in 2026. Covers Claude Code, Cursor, Codex, Gemini CLI, Cline, Roo Code, Windsurf, and Aider with feature matrices and recommendations.
Design patterns for adding persistent memory to AI agents. Covers conversation memory, entity extraction, knowledge graphs, tiered memory, and memory management strategies.
Ultra-fast LLM inference at 2000+ tokens/second. Cerebras provides the fastest cloud inference for Llama and Qwen models with OpenAI-compatible API for instant AI responses.