skills.rest
bosens-China
bosens-ChinaCOMMUNITY
Explore all skills by this author →
WebsiteGitHub

deep-agents-memory

Manage memory, persistence, and file operations for deep agents.

10|4|Updated May 22, 2019
Search Tags:#memory management#persistence#filesystem#state backend#deep agent#store backend
One-click install
npx skills add https://github.com/bosens-China/blog --skill deep-agents-memory-bosens-china
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: deep-agents-memory
Source: https://github.com/bosens-China/blog/tree/main/.agents/skills/deep-agents-memory
Command: npx skills add https://github.com/bosens-China/blog --skill deep-agents-memory-bosens-china

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill addresses the memory and persistence needs of Deep Agents, ensuring they can access, store, and retrieve data efficiently across different scenarios.

Core Features & Use Cases

  • StateBackend: Handles ephemeral data storage within a single thread.
  • StoreBackend: Manages persistent data storage across threads and sessions.
  • FilesystemMiddleware: Provides tools for file operations like listing, reading, writing, editing, and searching files.
  • CompositeBackend: Combines ephemeral and persistent storage for a hybrid solution.
  • Use Case: Use this Skill when your Deep Agent needs to remember tasks, save configurations, or interact with files.

Quick Start

Activate the deep-agents-memory skill and specify the thread ID.

Frequently Asked Questions about deep-agents-memory

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How to manage persistent memory for deep agents across multiple sessions?▼

Persistent memory for deep agents is managed through a StoreBackend that retains data across threads and sessions. This ensures configurations and tasks remain accessible beyond ephemeral states, allowing continuous operations.

Can I use filesystem operations to read and write files within a deep agent workflow?▼

Filesystem operations are supported through FilesystemMiddleware, which provides tools for listing, reading, writing, editing, and searching files. This allows deep agents to interact directly with the file system.

What is the difference between short-term and long-term state backends for deep agents?▼

Short-term state backends handle ephemeral data within a single thread, while long-term store backends manage persistent data across sessions. A CompositeBackend can also combine both for a hybrid storage solution.

Do I need to specify a thread ID to activate deep agent memory management?▼

Yes, specifying a thread ID is required to activate the deep-agents-memory skill. This identifier ensures the agent correctly scopes its ephemeral and persistent data storage operations.

What is the best way to combine ephemeral and persistent storage for deep agents?▼

Combining ephemeral and persistent storage is achieved using a CompositeBackend. This hybrid approach integrates short-term thread state with long-term session data to optimize agent memory retrieval.

Related Skills

Explore More Software Engineering Skills→
daniel-dihardjadaniel-dihardja

deep-agents-memory

Persist memory and filesystem access for Deep Agents via CompositeBackend routing.

Community
Advanced
0xUrsanomics0xUrsanomics
2

memory-offload

Archive dense operational state to a knowledge graph namespace for retrieval.

Community
Advanced
bosens-Chinabosens-China
10

deep-agents-core

Build deep learning agents with LangChain/LangGraph middleware for planning and delegation.

Community
Advanced
jxtngxjxtngx
2

deep-agents-memory

Route agent memory operations across ephemeral and persistent storage backends.

Community
Advanced