lukasa1993/tanstack-skills-extracted/tanstack-ai-memory-honcho

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'
// Build per request from the server-validated session — never from req.body.
function memoryFor(session: { userId: string; threadId: string }) {
  const memory = honcho({ user: session.userId }) // baseURL defaults to HONCHO_URL
  return memoryMiddleware({
    adapter: memory,
    scope: { threadId: session.threadId, userId: session.userId },
  })
}

@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.