building-with-agent-memory
CommunityPersistent 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 requiredComponents
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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