Use when wiring redis() from @tanstack/ai-memory/redis in production — covers client setup (ioredis or node-redis via fromNodeRedis), the storage model, client-side ranking limits, and troubleshooting.
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Quellanweisungen · Schreibgeschützte Vorschau
name
tanstack-ai-memory-redis
description
Use when wiring redis() from @tanstack/ai-memory/redis in production — covers client setup (ioredis or node-redis via fromNodeRedis), the storage model, client-side ranking limits, and troubleshooting.
# 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`
```ts
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+)
```ts
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
```text
{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.
Diesen Prompt kopieren und in den verwendeten KI-Assistenten einfügen.
Follow https://skillsmp.com/skill-install/prompt.md to install only the Agent Skill at https://github.com/TanStack/ai/tree/main/packages/ai-memory/skills/tanstack-ai-memory-redis.
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