ai-persistence/stores

Reference instructions for implementing database storage for TanStack AI chat data. They define how to save messages, runs, interruptions, and metadata while leaving the database schema up to you.

In plain words
What is it for?
Use it to build persistence adapters for a custom database or existing database setup, enforce access checks, save and resume threads, and test with in-memory storage.
Why use it?
TanStack AI provides storage contracts but does not implement a database adapter for your system. These rules help ensure saved conversations and interrupted runs behave correctly.

Skill for Claude CodeCodex

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add skills/tanstack/ai/stores
Any agent
npx skills add TanStack/ai --skill stores
Clone the repo
git clone --depth 1 https://github.com/TanStack/ai

Made for: Claude Code, Codex.

Per session 93 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 5,236 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5 $0.00093 $0.05236
Opus 5 $0.00046 $0.02618
Sonnet 5 $0.00019 $0.01047
Haiku 4.5 $0.00009 $0.00524

Measured 2d ago against content hash e5020511814a, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

ai-persistence/stores scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

packages/ai-persistence/skills/ai-persistence/stores/SKILL.md · 491 lines

How it starts

The opening of the file, as written. The whole thing — 491 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Persistence Stores

Builds on ai-persistence and ai-persistence/server.

@tanstack/ai-persistence ships contracts, not a backend for your database. An adapter is an object with a stores map; implement the stores you need against whatever you already run and hand the result to withPersistence. The core never inspects your tables, so the schema is yours.

Use memoryPersistence() for dev and tests. Everything durable is an adapter you write. This skill is the contract reference; the per-stack recipes that write a chat-persistence.ts into an app are ai-persistence/build-{drizzle,prisma,cloudflare,custom}-adapter, and a complete node:sqlite implementation lives in examples/ts-react-chat/src/lib/sqlite-persistence.ts.

Choose a shape

import { defineAIPersistence } from '@tanstack/ai-persistence'
import type { ChatWithInterruptsPersistence } from '@tanstack/ai-persistence'

// Sparse is fine — only implement what you need.
export const persistence: ChatWithInterruptsPersistence = defineAIPersistence({
  stores: {
    messages, // required for withPersistence / reconstructChat
    runs, // required if you have interrupts
    interrupts,
    // metadata optional
  },
})
Shape Contents
ChatTranscriptPersistence messages (+ optional runs/interrupts/metadata)
ChatWithInterruptsPersistence messages + runs + interrupts
ChatPersistence all four chat stores

defineAIPersistence preserves exact keys and rejects unknown keys at runtime.

Annotate your factory with a named shape. Bare AIPersistence is the all-optional sparse bag, so withPersistence and reconstructChat reject it (stores.messages is possibly undefined). This is the single most common mistake when writing an adapter.

Read the full file on GitHub · 491 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 2d ago First seen · 491 lines · 93 tokens per session scan A e5020511814a

Subscribe to this mod's changes

ai-persistence/stores is a skill published in the GitHub repository TanStack/ai (3,056 stars, last pushed today), licensed MIT. It adds 93 tokens to every session and 5,236 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.