@agentskit/memory

When to reach for it

• You need persistent chat history (file / SQLite / Redis).
• You need vector search (pgvector / Pinecone / Qdrant / Chroma / Upstash / Redis / file).
• You need MemGPT-style tiered memory, or client-side encryption, or a knowledge graph.

Install

npm install @agentskit/memory

Hello world

import { pgvector, createHierarchicalMemory } from '@agentskit/memory'
import { Pool } from 'pg'

const pool = new Pool({ connectionString: process.env.DATABASE_URL })
const vectors = pgvector({
  runner: { query: async (sql, params) => ({ rows: (await pool.query(sql, params)).rows }) },
})

Surface

• Chat: fileChatMemory · sqliteChatMemory · redisChatMemory.
• Vector: fileVectorMemory · redisVectorMemory · pgvector · pinecone · qdrant · chroma · upstashVector.
• HoF wrappers: createHierarchicalMemory · createEncryptedMemory · createInMemoryGraph · createInMemoryPersonalization.

Recipes

• Persistent memory
• Virtualized memory
• Hierarchical memory
• Encrypted memory
• Vector adapters
• Graph memory
• Personalization

Related

• Concepts: Memory
• Data → Memory
• For agents: memory

Source

npm: @agentskit/memory · repo: packages/memory