Agent Skills
› TanStack/ai
› tanstack-ai-memory-honcho
tanstack-ai-memory-honcho
GitHub提供基于 Honcho 的托管记忆适配器，支持通过会话中的对话式综合答案进行记忆召回与保存。适用于需要集成外部 AI 记忆服务的 Agent 开发场景。
Trigger Scenarios
需要为 AI Agent 配置持久化或短期记忆功能
集成 @tanstack/ai-memory 并选择 Honcho 作为后端存储
Install
npx skills add TanStack/ai --skill tanstack-ai-memory-honcho -g -y
SKILL.md
Frontmatter
{
"name": "tanstack-ai-memory-honcho",
"description": "Use when wiring honcho() from @tanstack\/ai-memory\/honcho — a hosted memory adapter where recall is a dialectic answer over the user's representation (no discrete fragments). Requires the optional @honcho-ai\/sdk peer."
}
Honcho Memory Adapter
Hosted recall/save adapter backed by Honcho. Honcho models memory as peers
exchanging messages in a session; recall returns a synthesized dialectic answer
over the user peer's representation (so there are no discrete fragments), and save
appends the turn's messages to the session.
Setup
import { memoryMiddleware } from '@tanstack/ai-memory'
import { honcho } from '@tanstack/ai-memory/honcho'
const memory = honcho({ user: currentUserId }) // baseURL defaults to HONCHO_URL
memoryMiddleware({ adapter: memory, scope })
@honcho-ai/sdk is an optional peer dependency, loaded lazily on first use — install
it where you use honcho().
Options
user— user peer id (falls back toscope.userId, then'demo-user').baseURL— Honcho server URL (defaultHONCHO_URLorhttp://localhost:8001).workspaceId— defaultHONCHO_APP_NAMEor'ai-memory'.apiKey— defaultHONCHO_API_KEY.assistantId— assistant peer id (default'assistant').
Scope fields: session key = {tenantId|_}__{threadId}; peer id is
{tenantId}__{user} when tenantId is set, otherwise user / scope.userId.
namespace is ignored.
recall calls the user peer's dialectic chat() and injects the answer as the system
prompt; Honcho exposes no LLM tools.
Version History
- 05280a5 Current 2026-07-30 23:52
