TanStack AI is a TypeScript SDK for building applications that stream AI responses, call tools, run agents, produce structured output, and handle multimodal or realtime interactions. Developers use it across frameworks and AI providers through shared typed interfaces and provider adapters. The catalogue entries are add-ons for working with this SDK.
Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/TanStack/ainpx agentmods add skills/tanstack/ai/storesWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/tanstack/ai/stores)<a href="https://agentmods.dev/skills/tanstack/ai/stores"><img src="https://agentmods.dev/badge/skills/tanstack/ai/stores/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/tanstack/ai/stores"><img src="https://agentmods.dev/badge/skills/tanstack/ai/stores.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00101 | $0.05849 |
| Opus 5.5 | $0.00040 | $0.02340 |
| Sonnet 5.5 | $0.00020 | $0.01170 |
| Haiku 4.5 | $0.00010 | $0.00585 |
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 22d 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.
How it starts
The opening of the file, as written. The whole thing — 543 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'
import { messages, runs, interrupts } from './stores'
// 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.
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.
- 22d ago Changed · +17 lines a4e01b1d0b0d
- 29d ago Changed · +17 lines · +8 tokens per session ef00dbd4781e
- 1mo ago Changed · +18 lines a478ae01b68a
- 1mo ago First seen · 491 lines · 93 tokens per session scan A e5020511814a
ai-persistence/stores is a skill published in the GitHub repository TanStack/ai (3,199 stars, last pushed today), licensed MIT. It adds 101 tokens to every session and 5,849 once invoked, about $0.0004 per session on Opus 5.5. 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.
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