AgentDB Memory Patterns
Implement persistent memory patterns for AI agents using AgentDB. Includes session memory, long-term storage, pattern learning, and context management. Use when building stateful agents, chat systems, or intelligent assistants.
npx skills add majiayu000/claude-skill-registry --skill agentdb-memory-patterns-dnyoussef-ai-chrome-extension --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# AgentDB Memory Patterns ## What This Skill Does Provides memory management patterns for AI agents using AgentDB's persistent storage and ReasoningBank integration. Enables agents to remember conversations, learn from interactions, and maintain context across sessions. **Performance**: 150x-12,500x faster than traditional solutions with 100% backward compatibility. ## Prerequisites - Node.js 18+ - AgentDB v1.0.7+ (via agentic-flow or standalone) - Understanding of agent architectures ## Quick Start with CLI ### Initialize AgentDB ```bash # Initialize vector database npx agentdb@latest init ./agents.db # Or with custom dimensions npx agentdb@latest init ./agents.db --dimension 768 # Use preset configurations npx agentdb@latest init ./agents.db --preset large # In-memory database for testing npx agentdb@latest init ./memory.db --in-memory ``` ### Start MCP Server for Claude Code ```bash # Start MCP server (integrates with Claude Code) npx agentdb@latest mcp # Add to Claude Code (one-time setup) claude mcp add agentdb npx agentdb@latest mcp ``` ### Create Learning Plugin ```bash # Interactive plugin wizard npx agentdb@latest create-plugin # Use template directly npx agentdb@latest cr
- What This Skill Does
- Prerequisites
- Quick Start with CLI
- Initialize AgentDB
- Start MCP Server for Claude Code
- Create Learning Plugin
- Quick Start with API
- Memory Patterns
- 1. Session Memory
- 2. Long-Term Memory
- 3. Pattern Learning
- Advanced Patterns
- Hierarchical Memory
- Memory Consolidation
Initialize vector database npx agentdb@latest init ./agents.db Or with custom dimensions npx agentdb@latest init ./agents.db --dimension 768 Use preset configurations npx agentdb@latest init ./agents.db --preset large In-memory database for testing npx agentdb@latest init ./memory.db --in-memory Start MCP server (integrates with Claude Code) npx agentdb@latest mcp
What does the AgentDB Memory Patterns skill do?
Implement persistent memory patterns for AI agents using AgentDB. Includes session memory, long-term storage, pattern learning, and context management. Use when building stateful agents, chat systems, or intelligent assistants.
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill agentdb-memory-patterns-dnyoussef-ai-chrome-extension --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.
