Agentdb Memory Patterns
ruvnet/rufloAI agents need to remember past conversations and learn from them. This skill helps you add persistent memory to your agents using AgentDB. It stores session history, long-term facts, and interaction patterns.
Your agents can recall user preferences and past answers. They can also learn from successful interactions. This makes them smarter and more helpful over time.
You get fast performance for real-time chat systems or intelligent assistants. The memory is stored in a vector database that works with your existing tools.
Add Agentdb Memory Patterns skill to your workflow
Global
mkdir -p ~/.claude/skills/agentdb-memory-patternsProject
mkdir -p .claude/skills/agentdb-memory-patternsSource Repository
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