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 agentmods add skills/tanstack/ai/ai-persistencenpx skills add TanStack/ai --skill ai-persistencegit clone --depth 1 https://github.com/TanStack/aiWhat 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 | $0.00088 | $0.02840 |
| Opus 5 | $0.00044 | $0.01420 |
| Sonnet 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 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.
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.
- 2d ago First seen · 226 lines · 88 tokens per session scan A 4508322a41a4
ai-persistence is a skill published in the GitHub repository TanStack/ai (3,056 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. 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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