deep-agents-memory は何をしますか？
Deep Agentにメモリ、永続化、またはファイルシステムアクセスが必要な場合にこのスキルを呼び出してください。StateBackend（エフェメラル）、StoreBackend（永続的）、FilesystemMiddleware、CompositeBackend（ルーティング用）をカバーします。
Deep Agentにメモリ、永続化、またはファイルシステムアクセスが必要な場合にこのスキルを呼び出してください。StateBackend（エフェメラル）、StoreBackend（永続的）、FilesystemMiddleware、CompositeBackend（ルーティング用）をカバーします。
このスキルは、Deep Agentにメモリ、永続化、ファイルシステムアクセス機能を提供します。主なコンポーネントとして、エフェメラルな状態管理を行うStateBackend、永続的なストレージを実現するStoreBackend、ファイルシステムへのアクセスを仲介するFilesystemMiddleware、そしてこれらのバックエンドを状況に応じてルーティングするCompositeBackendがあります。これにより、エージェントは動作中に状態を保持し、データを永続化し、外部ファイルを操作できるようになります。LangChainプラットフォームと統合されており、AIエージェントの開発効率を大幅に向上させます。
npx skills add https://github.com/langchain-ai/langchain-skills/tree/main/skills/deep-agents-memoryInstalled? Explore more 生産性＆コラボレーション skills: steipete/gemini, steipete/gh-issues, steipete/skill-creator · View all 6 →
Deep Agentにメモリ、永続化、またはファイルシステムアクセスが必要な場合にこのスキルを呼び出してください。StateBackend（エフェメラル）、StoreBackend（永続的）、FilesystemMiddleware、CompositeBackend（ルーティング用）をカバーします。
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 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.
INVOKE THIS SKILL when your LangGraph needs to persist state, remember conversations, travel through history, or configure subgraph checkpointer scoping. Covers checkpointers, thread_id, time travel, Store, and subgraph persistence modes.
Dispatches many independent items in parallel: create a table, fan out to subagents, aggregate results. One row = one unit of work.
Gemini CLI one-shot prompts, summaries, generation, skills, hooks, MCP, or Gemma routing.
Fetch GitHub issues, select candidates, spawn background fix agents, open PRs, and optionally process PR review comments.
Create, edit, audit, tidy, validate, or restructure AgentSkills and SKILL.md files.
Search, install, update, sync, or publish agent skills with the ClawHub CLI and registry.
Delegate coding work to Codex, Claude Code, or OpenCode as background workers; not simple edits or read-only code lookup.
List, configure, authenticate, call, and inspect MCP servers/tools with mcporter over HTTP or stdio.