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 to scope.userId, then 'demo-user').
• baseURL — Honcho server URL (default HONCHO_URL or http://localhost:8001).
• workspaceId — default HONCHO_APP_NAME or 'ai-memory'.
• apiKey — default HONCHO_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.