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Deep Agents Memory & Filesystem

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Manage agent memory and filesystem access.

Software Engineering#backend#memory#persistence#filesystem#storage#deep agents
Authorlangchain-ai
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This Skill addresses the need for AI agents to have persistent memory, temporary storage, and direct access to the filesystem, enabling more complex and stateful interactions.

Core Features & Use Cases

  • Ephemeral Memory (StateBackend): Stores data within a single thread, useful for short-term context.
  • Persistent Memory (StoreBackend): Saves data across threads and sessions, ideal for long-term knowledge.
  • Filesystem Access (FilesystemBackend): Allows agents to read, write, and manipulate files on disk, with security considerations.
  • Hybrid Storage (CompositeBackend): Routes different file paths to different backend types for flexible storage strategies.
  • Filesystem Utilities: Provides ls, read_file, write_file, edit_file, glob, and grep operations.

Quick Start

Configure the agent to use a CompositeBackend that routes files in /memories/ to a persistent StoreBackend.

Dependency Matrix

Required Modules

None required

Components

references

💻 Claude Code Installation

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Please help me install this Skill:
Name: Deep Agents Memory & Filesystem
Download link: https://github.com/langchain-ai/langchain-skills/archive/main.zip#deep-agents-memory-filesystem

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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