shelfry.app/p/langgraph
langgraph
LangGraph 是 LangChain 团队推出的底层编排框架，用于构建长时间运行、带状态的智能体与工作流。它用图结构组织节点和边，让开发者显式控制分支、循环与多智能体协作，而不是把流程埋在提示词里。框架提供持久化执行，任务中断或失败后可从断点继续；支持在运行中人工介入，检查并修改智能体状态；同时具备短期工作记忆与跨会话长期记忆。搭配 LangSmith 可追踪执行路径、查看状态变化并做评测。它能独立使用，也可与 LangChain 生态集成，适合对可靠性和可控性要求较高的生产场景。
WebAI 工具 MIT
$
pip install -U langgraphStars
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Low-level orchestration framework for building stateful agents.
Trusted by companies shaping the future of agents – including Klarna, Replit, Elastic, and more – LangGraph is a low-level orchestration framework for building, managing, and deploying long-running, stateful agents.
pip install -U langgraph
[!TIP] If you're looking to quickly build agents, check out Deep Agents — a higher-level package built on LangGraph for agents that can plan, use subagents, and leverage file systems for complex tasks.
For an equivalent JS/TS library, check out LangGraph.js and the JS docs.
Why use LangGraph?
LangGraph provides low-level supporting infrastructure for any long-running, stateful workflow or agent:
- Durable execution — Build agents that persist through failures and can run for extended periods, automatically resuming from exactly where they left off.