AgentDB Memory Patterns - Persistent memory patterns for AI agents using AgentDB.
Implements persistent session memory, long-term storage, pattern learning, and context retrieval for AI agents using AgentDB.
Tags
Updated: 2026-09-20Capabilities
Typical Inputs
Typical Outputs
What this skill does
- Initialize vector database
- Start MCP server
- Create learning plugin
- Store interaction memory
- Retrieve context with reasoning
- Store long-term facts
- Consolidate memory
- Query vector embeddings
- Export vector data
- Import vector data
- Migrate legacy database
Inputs
- Vector database file path
- Database configuration parameters
- Interaction embeddings and data
- Legacy database file
- Backup JSON file
Outputs
- Initialized database file
- Running MCP server
- Generated learning plugin template
- Retrieved memory context
- Exported JSON backup file
- Database statistics and benchmark results
Requirements
- Node.js 18+
- AgentDB v1.0.7+