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
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.
npx skills add TanStack/ai --skill ai-persistencegit clone --depth 1 https://github.com/TanStack/aiWrote 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/ai-persistence)<a href="https://agentmods.dev/skills/tanstack/ai/ai-persistence"><img src="https://agentmods.dev/badge/skills/tanstack/ai/ai-persistence/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/ai-persistence"><img src="https://agentmods.dev/badge/skills/tanstack/ai/ai-persistence.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Prompt Injection · line 29 Large whitespace padding was detected (a block of blank lines or a long run of spaces). This can push injected instructions below or to the right of the visible area so a human reviewer never sees them while the agent still reads them. Manual review of the hidden content is recommended.Fix: Remove the large whitespace padding (blank-line blocks or long space runs) and review any content hidden below or to the right of it. Keep skill files compact and reviewable so no instructions can be
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 | $0.00088 | $0.02840 |
| Opus 5.5 | $0.00035 | $0.01136 |
| Sonnet 5.5 | $0.00018 | $0.00568 |
| Haiku 4.5 | $0.00009 | $0.00284 |
Grade A, and why
ai-persistence 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 1mo 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 — 226 lines — stays where its author put it; the contents beside it link to each section on GitHub.
TanStack AI Persistence
Builds on the
ai-coreskill in@tanstack/ai, and usuallyai-core/chat-experience.
TanStack AI splits delivery durability from state persistence. They share no code and solve different problems.
| Layer | Answers | Package / API |
|---|---|---|
| Delivery durability | Reconnect to a stream still running | memoryStream / @tanstack/ai-durable-stream on the response; see resumable streams docs |
| State persistence | What is the conversation, later? | Client persistence on useChat + server withPersistence from @tanstack/ai-persistence |
A replayable stream is not a saved conversation. A saved conversation is not a live stream. Production apps often use both.
Persistence is a contract, not a database
@tanstack/ai-persistence ships the store interfaces, the middleware that
drives them, an in-memory reference backend, and a conformance testkit. It does
not ship a backend for your database, and you do not need one: implement the
stores against whatever you already run — Postgres, SQLite, D1, Mongo — and hand
the result to withPersistence. The core never inspects your tables.
| Ships in the package | What it is |
|---|---|
MessageStore / RunStore / InterruptStore / MetadataStore |
The four chat state contracts |
GenerationRunStore / ArtifactStore / BlobStore |
The generation contracts (job lifecycle + bytes) |
withPersistence / withGenerationPersistence |
Chat + generation middleware |
memoryPersistence() |
In-process reference backend, all seven stores (dev, tests) |
reconstructChat / reconstructGeneration |
Server hydrate route helpers (chat / generation) |
retrieveArtifact / retrieveBlob / resolveArtifactBlobKey |
Serve persisted generation-media bytes back |
LockStore / withLocks / InMemoryLockStore (from @tanstack/ai/locks) |
Coordination, not this package — see ai-core/locks |
@tanstack/ai-persistence/testkit |
runPersistenceConformance gate (chat state stores) |
What ships with it
7 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 1mo ago First seen · 226 lines · 88 tokens per session scan A 4508322a41a4
ai-persistence is a skill published in the GitHub repository TanStack/ai (3,199 stars, last pushed today), licensed MIT. It adds 88 tokens to every session and 2,840 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.
Other skills, from other repositories
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forget
Remove a personal fact, preference, relationship detail, topic, or prior event from Muse's active memory and stop existing copies or automations from bringing it back. Use for explicit requests such as 'forget that', 'don't remember this about me', or 'remove that from your memory'. Do not use when 'forget it' merely…
consolidate-memory
Reflective pass over your memory files — merge duplicates, fix stale facts, prune the index.
ha-data-stores
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import-memory
Import a memory export from another AI assistant into Claude's memory — conversationally, additively, and with the content treated as data.
ha-knowledge
Working method for the Hope Agent knowledge space — how to capture, organize, link, retrieve, and maintain Markdown notes well with the note tools. Load whenever you are reading or writing notes in an attached knowledge base. Trigger on: user asks to take / save / organize / restructure notes, build or grow a…