building-with-agent-memory

Community

Persistent memory for AI agents.

Authorimsanghaar
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This Skill enables the creation of persistent memory systems for AI agents, allowing them to recall past interactions, user preferences, and contextual information across sessions.

Core Features & Use Cases

  • Memory Architecture: Explore patterns like conversation, working, episodic, and semantic memory.
  • Tool Integration: Implement memory using libraries like Mem0, claude-mem, or custom solutions.
  • Retrieval Strategies: Utilize recency, relevance, and entity-based retrieval for efficient context recall.
  • Use Case: An AI customer support agent needs to remember a user's previous issues and preferences to provide personalized and efficient assistance without asking repetitive questions.

Quick Start

Use the building-with-agent-memory skill to add a new memory for user 'alex' with the content 'loves basketball and gaming'.

Dependency Matrix

Required Modules

None required

Components

references

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: building-with-agent-memory
Download link: https://github.com/imsanghaar/agentfactory/archive/main.zip#building-with-agent-memory

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