name: tanstack-ai-memory-mem0 description: "Use when wiring mem0() from @tanstack/ai-memory/mem0 — a hosted memory adapter that talks to a mem0 server over plain HTTP (no SDK peer). Requires a running mem0 server." license: "MIT" metadata: version: "1.0.1" internal: true tanstack-package: "@tanstack/ai-memory" tanstack-package-version: "1.0.0" tanstack-source-skill: "tanstack-ai-memory-mem0"

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.