Deep Agents Memory
langchain-ai/skills-benchmarks/skills/main/deep-agents-memory
ai-mlOfficial
Official Provider SkillView repo
INVOKE THIS SKILL when your Deep Agent needs memory, persistence, or filesystem access. Covers StateBackend (ephemeral), StoreBackend (persistent), FilesystemMiddleware, and CompositeBackend for routing.
Files1 files
SKILL.md302 lines
Loading editor…
Install
RecommendedOne command — your agent picks it up automatically.
Select an AI agent above to see the install command.
or
Manual Install
More stepsDownload the file and paste it into your agent's system prompt.
Skill details
Versionv1.0.0
AuthorLangChain AI
Categoryai-ml
Skill IDlangchain-ai/skills-benchmarks/skills/main/deep-agents-memory
Related skills
Api DocsOpenAPI documentation and REST API design patternsDatabase MigrationsDatabase migration patterns and schema versioningDeep Agents CoreINVOKE THIS SKILL when building ANY Deep Agents application. Covers create_deep_agent(), harness architecture, SKILL.md format, and configuration options.Deep Agents OrchestrationINVOKE THIS SKILL when using subagents, task planning, or human approval in Deep Agents. Covers SubAgentMiddleware, TodoList for planning, and HITL interrupts.Docker PatternsBest practices for Docker containerization and multi-stage buildsEcosystem PrimerINVOKE FIRST for any LangChain / LangGraph / Deep Agents agent building project before consulting other skills or writing any agent code. Required starting point for up to date info on framework selection (LangChain vs LangGraph vs Deep Agents vs hybrid composition), agent patterns, install, environment setup, and which skill to load next.