langgraph-persistence 是做什麼的？
當您的 LangGraph 需要持久化狀態、記住對話、穿梭歷史或配置子圖檢查點範圍時，請調用此技能。涵蓋檢查點、thread_id、時間旅行、Store 和子圖持久化模式。
當您的 LangGraph 需要持久化狀態、記住對話、穿梭歷史或配置子圖檢查點範圍時，請調用此技能。涵蓋檢查點、thread_id、時間旅行、Store 和子圖持久化模式。
此技能專為 LangGraph 開發者提供狀態持久化、對話記憶、歷史回溯以及子圖檢查點範圍配置的全面解決方案。它支援多種持久化模式，包括使用檢查點器（checkpointer）保存狀態、透過 thread_id 追蹤特定對話線程、實現時間旅行（time travel）功能以回到歷史狀態、利用 Store 進行高效數據儲存，以及配置子圖（subgraph）的持久化範圍。此技能適用於 Claude Code、Cursor 等 AI 代理平台，幫助開發者構建具有記憶和狀態管理能力的智能應用。通過調用此技能，您可以確保 LangGraph 應用在會話間保持上下文一致性，並靈活控制狀態的持久化粒度。
npx skills add https://github.com/langchain-ai/langchain-skills/tree/main/skills/langgraph-persistenceInstalled? Explore more 程式設計與開發 skills: steipete/bluebubbles, steipete/eightctl, steipete/blucli · View all 6 →
當您的 LangGraph 需要持久化狀態、記住對話、穿梭歷史或配置子圖檢查點範圍時，請調用此技能。涵蓋檢查點、thread_id、時間旅行、Store 和子圖持久化模式。
This repo contains 11 individual skills — each has its own dedicated page.
INVOKE THIS SKILL when building ANY Deep Agents application. Covers create_deep_agent(), harness architecture, SKILL.md format, and configuration options.
INVOKE THIS SKILL when your Deep Agent needs memory, persistence, or filesystem access. Covers StateBackend (ephemeral), StoreBackend (persistent), FilesystemMiddleware, and CompositeBackend for routing.
INVOKE THIS SKILL when using subagents, task planning, or human approval in Deep Agents. Covers SubAgentMiddleware, TodoList for planning, and HITL interrupts.
INVOKE THIS SKILL at the START of any LangChain/LangGraph/Deep Agents project, before writing any agent code. Determines which framework layer is right for the task: LangChain, LangGraph, Deep Agents, or a combination. Must be consulted before other agent skills.
INVOKE THIS SKILL when setting up a new project or when asked about package versions, installation, or dependency management for LangChain, LangGraph, LangSmith, or Deep Agents. Covers required packages, minimum versions, environment requirements, versioning best practices, and common community tool packages for both Python and TypeScript.
Create LangChain agents with create_agent, define tools, and use middleware for human-in-the-loop and error handling.
INVOKE THIS SKILL when you need human-in-the-loop approval, custom middleware, or structured output. Covers HumanInTheLoopMiddleware for human approval of dangerous tool calls, creating custom middleware with hooks, Command resume patterns, and structured output with Pydantic/Zod.
INVOKE THIS SKILL when building ANY retrieval-augmented generation (RAG) system. Covers document loaders, RecursiveCharacterTextSplitter, embeddings (OpenAI), and vector stores (Chroma, FAISS, Pinecone).
INVOKE THIS SKILL when writing ANY LangGraph code. Covers StateGraph, state schemas, nodes, edges, Command, Send, invoke, streaming, and error handling.
INVOKE THIS SKILL when implementing human-in-the-loop patterns, pausing for approval, or handling errors in LangGraph. Covers interrupt(), Command(resume=...), approval/validation workflows, and the 4-tier error handling strategy.
Dispatches many independent items in parallel: create a table, fan out to subagents, aggregate results. One row = one unit of work.
Send and manage iMessages via BlueBubbles, including attachments, tapbacks, edits, replies, and groups.
Control Eight Sleep pods (status, temperature, alarms, schedules).
BluOS CLI (blu) for discovery, playback, grouping, and volume.
Create, search, and manage Bear notes via grizzly CLI.
Capture frames or clips from RTSP/ONVIF cameras.
Search GIF providers with CLI/TUI, download results, and extract stills/sheets.