Agent Skills
› TanStack/ai
› tanstack-ai-memory-mem0
tanstack-ai-memory-mem0
GitHub提供基于mem0服务器的AI记忆适配器，支持对话记忆的保存与召回。通过HTTP通信，无需额外SDK依赖，适用于集成外部记忆服务的Agent场景。
Trigger Scenarios
需要为AI应用添加长期或短期记忆功能
配置TanStack AI的memoryMiddleware并指定mem0作为后端存储
Install
npx skills add TanStack/ai --skill tanstack-ai-memory-mem0 -g -y
SKILL.md
Frontmatter
{
"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."
}
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'
const memory = mem0({ user: currentUserId }) // baseUrl defaults to MEM0_URL
memoryMiddleware({ adapter: memory, scope })
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— mem0user_id(falls back toscope.userId, then'demo-user').baseUrl— mem0 server URL (defaultMEM0_URLorhttp://localhost:8000).apiKey— bearer token (defaultMEM0_ADMIN_API_KEY).rerank(defaulttrue),threshold(default0.1) — 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.
Version History
- 05280a5 Current 2026-07-30 23:52
