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tanstack-ai-memory-mem0

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Updated 10-16 06:14

About this skill

mem0 Memory Adapter

Hosted recall/save adapter backed by a mem0 server. mem0 owns extraction and ranking server-side. Talks to the server over plain HTTP — no SDK peer dependency.

Setup

import { memoryMiddleware } from '@tanstack/ai-memory'
import { mem0 } from '@tanstack/ai-memory/mem0'

// Build per request from the server-validated session — never from req.body.
function memoryFor(session: { userId: string; threadId: string }) {
  const memory = mem0({ user: session.userId }) // baseUrl defaults to MEM0_URL

return memoryMiddleware({ adapter: memory, scope: { threadId: session.threadId, userId: session.userId }, }) }


Requires a running mem0 server (self-hosted or hosted). Point it via `baseUrl` (or
`MEM0_URL`); pass `apiKey` (or `MEM0_ADMIN_API_KEY`) when secured.

## Options

- `user` — mem0 `user_id` (falls back to `scope.userId`, then `'demo-user'`).
- `baseUrl` — mem0 server URL (default `MEM0_URL` or `http://localhost:8000`).
- `apiKey` — bearer token (default `MEM0_ADMIN_API_KEY`).
- `rerank` (default `true`), `threshold` (default `0.1`) — search tuning.

**Scope fields:** requests send `user_id` and `run_id` (`scope.threadId`). `tenantId`
and `namespace` are not sent — encode multi-tenant isolation into `user` if needed.

`save` posts the `{ user, assistant }` turn to `/memories`; `recall` queries `/search`
and renders the results into the system prompt. mem0 exposes no LLM tools.