AgentMemory

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