Conversation Memory

This implements a tiered memory system for LLM conversations with short-term session storage, long-term persistence, and entity tracking. The pattern here is solid: buffer the current conversation, extract and score memorable content, consolidate important interactions into long-term storage, and maintain a separate entity store for facts about people, places, and things. You'd use this when building chatbots or assistants that need to remember context across sessions without stuffing everything into the prompt. The main gotcha is memory growth, the source includes lifecycle management code with importance scoring and automatic pruning, which you'll definitely need. Works with Mem0, LangChain Memory, or Redis depending on your stack.

Install to Claude Code

npx -y skills add sickn33/antigravity-awesome-skills --skill conversation-memory --agent claude-code