Tanstack AI Memory Redis

Redis Memory Adapter

Production-grade recall/save adapter backed by plain Redis (no vector index required). Ranks client-side (lexical + optional cosine + recency + importance).

Setup

Bring your own Redis client. ioredis wires in directly; redis (node-redis v4+) needs a small wrapper.

Option A: ioredis

import Redis from 'ioredis'
import { memoryMiddleware } from '@tanstack/ai-memory'
import { redis } from '@tanstack/ai-memory/redis'

const client = new Redis(process.env.REDIS_URL ?? 'redis://localhost:6379')
const memory = redis({ redis: client, prefix: 'myapp:memory' })

// Resolve scope per request from the server-validated session — never from req.body.
function memoryFor(session: { userId: string; threadId: string }) {
  return memoryMiddleware({
    adapter: memory,
    scope: { threadId: session.threadId, userId: session.userId },
  })
}

Option B: redis (node-redis v4+)

import { createClient } from 'redis'
import { memoryMiddleware } from '@tanstack/ai-memory'
import { redis, fromNodeRedis } from '@tanstack/ai-memory/redis'

const client = createClient({ url: process.env.REDIS_URL })
await client.connect()

const memory = redis({
  redis: fromNodeRedis(client),
  prefix: 'myapp:memory',
})

function memoryFor(session: { userId: string; threadId: string }) {
  return memoryMiddleware({
    adapter: memory,
    scope: { threadId: session.threadId, userId: session.userId },
  })
}

node-redis exposes a camelCase API (sAdd, mGet); fromNodeRedis translates it to the lowercase RedisLike shape. Passing a raw node-redis client without the wrapper throws client.sadd is not a function.

redis() accepts the same topK / minScore / kinds / embedder / extract options as inMemory().

Storage model

{prefix}:record:{id}                                          -> JSON record
{prefix}:index:{tenantId or _}:{userId or _}:{threadId}       -> Set<id>

save writes the record and adds it to the scope's index set; recall loads the set, scores, and renders. Scope values are escaped (:, \, and _) so a delimiter or the unset placeholder inside a dim can't collide two scopes.

Hard cut: there is no dual-read of older index layouts. If you previously wrote under a different shape (e.g. without tenantId), reindex or wipe — old keys are orphaned.

Always pass the same tenantId/userId/threadId on write and read: missing optional dims become _, so omit ≠ "match any".

Ranking limits

Ranking is client-side: recall loads every record for the scope into Node and scores it. Fine up to ~10k records per scope. Beyond that, write a vector-index-aware adapter against the same recall/save contract.

Troubleshooting

• Records not visible across processes: ensure every process uses the same REDIS_URL and prefix.
• Malformed JSON rows: a row whose JSON won't parse is skipped on read and left in place (never deleted) — the signal is a one-time console.warn per bad id. Fix or delete the offending {prefix}:record:{id} key to remediate.