Long-Term Memory Kit
Persistent memory across conversations with vector storage backends.
Configuration
Storage Pipeline
Initialize vector backend500ms
Encode memory content600ms
Store in vector DB400ms
Create index entry300ms
Verify persistence400ms
Stored Memories
User prefers concise responses
preference
imp:0.9Project uses TypeScript + React
tech-stack
imp:0.85API key expires on 2025-06-01
config
imp:0.95Integration Code
import { createMemory } from 'agent-tools-kit/memory'
const mem = createMemory({
type: 'long-term',
backend: 'pinecone',
autoMemorize: true,
})
// Store a memory
await mem.store({
content: 'Important fact',
tags: ['fact', 'reference'],
importance: 0.9,
})
// Retrieve memories
const recall = await mem.retrieve('related query', { topK: 5 })
console.log(recall)