Overview: AgentMemory is a persistent memory system for AI agents, allowing them to remember facts, learn from experience, and track entities across sessions. This skill enables agents to build a knowledge base and improve their decision-making capabilities.

Key Features:

Persistent memory system for AI agents
Remember facts and learn from experience
Track entities across sessions
Integration with Clawdbot for seamless session management

How It Works: AgentMemory uses a database to store and retrieve memories, allowing agents to recall relevant information and learn from their experiences. The skill can be integrated with Clawdbot to load and update memories during sessions.

Use Cases:

Starting a session: Load relevant context from memory
After conversations: Store important facts
After failures: Record lessons learned
Meeting new people/projects: Track as entities

AgentMemory

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