tanstack-ai-memory-in-memory SKILL.md skillA
tanstack-ai-memory-in-memory from tanstack/ai is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add tanstack/ai/tanstack-ai-memory-in-memory@git:20260909.53e2ec0Pins git:20260909.53e2ec0 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- tanstack/ai
- Path
packages/ai-memory/skills/tanstack-ai-memory-in-memory/SKILL.md- Versions recorded
- 2
- Latest version
- git:20260909.53e2ec0, committed Sep 9, 2026
- First version recorded
- Jul 23, 2026
- Size
- 1,804 bytes
- Repository stars
- 3,337
- License
- MIT
Use when wiring inMemory() from @tanstack/ai-memory/in-memory — explains setup, options (embedder, extract, topK/minScore), when to pick it (dev/tests/single-process demos), and what NOT to use it for (multi-process or persistent).
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
# In-Memory Memory Adapter
Zero-dependency `recall`/`save` adapter backed by a `Map`. Records vanish on process
restart.
## When to use it
- Local development.
- Vitest / Playwright tests.
- Single-process demos where users don't need persistence.
## When NOT to use it
- Production multi-process deployments — every worker has its own `Map`; users get
inconsistent memory.
- Anything that needs survival across restarts.
For production, use `redis()` (see the `tanstack-ai-memory-redis` skill).
## Setup
```ts
import { memoryMiddleware } from '@tanstack/ai-memory'
import { inMemory } from '@tanstack/ai-memory/in-memory'
const memory = inMemory()
// A static scope is fine for dev/tests; derive it from the session in real apps.
memoryMiddleware({
adapter: memory,
scope: { threadId: 'demo-thread', userId: 'alice' },
})
```
## Options
`inMemory(options?)` accepts:
- `topK` (default 6), `minScore` (default 0.15), `kinds` — recall tuning.
- `embedder: { embed(text): Promise<number[]> }` — enable semantic scoring (both
`recall` and `save` embed through it).
- `extract(turn, scope)` — return derived facts to persist alongside the raw turn
…Read the whole file at its exact version.
How to install
mdr add tanstack/ai/tanstack-ai-memory-in-memory@sha256:5fcab72e55d695a8The line at the top of this page pins the label git:20260909.53e2ec0, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
[](https://markdownregistry.com/a/art_3epaom77ihx5jcwk)
4 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 2 versions of this file, between Jul 23, 2026 and Sep 9, 2026, about one every 48 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| git:20260909.53e2ec0 latest | 2026-09-09 | 53e2ec0 | 1,804 B | A | view · diff |
| git:20260723.347b61b | 2026-07-23 | 347b61b | 1,671 B | A | view |
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (1804 bytes)
- pass: No zero-width or bidi control characters
- pass: No instruction hidden inside an HTML comment
- pass: No link to an exfiltration or paste host
- pass: No credential-shaped string
- pass: No instruction to send local credentials anywhere
- pass: No text hidden with inline styles
- pass: No prompt-injection phrasing
- pass: No curl or wget piped into a shell
- pass: No recursive delete of root, home or parent
- pass: No instruction to read or print local credentials
- pass: No base64 blob over 200 characters
- pass: No link to a raw IP address
- pass: No script tag
Source
tanstack/ai · 3,337 stars · license MIT · pushed 2026-11-06 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_3epaom77ihx5jcwk GET https://markdownregistry.com/api/v1/resolve?ref=tanstack/ai/tanstack-ai-memory-in-memory GET https://markdownregistry.com/api/v1/blob/5fcab72e55d695a8292543e176af86f6f90ff15987f4e9e065289af5a2372fa3
Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.
Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.