tanstack-ai-memory-in-memory
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).
ソース情報
- リポジトリ
- TanStack/ai
- ソースの最終更新活動
- 2026年9月9日 06:08
- 検出された SKILL.md の言語
- 英語
- スター
- 3,275
- フォーク
- 378
インストール方法
デフォルトでは、最初にソースを確認する Prompt が選択されています。直接コマンドに切り替えるか、ローカルコピーをダウンロードすることもできます。
ソースファイルを確認
インストールを決める前に、SKILL.md と SkillsMP に表示されている付属ファイルをお読みください。
SKILL.md を表示中
SKILL.md
ソースの指示 · 読み取り専用プレビュー- name
- tanstack-ai-memory-in-memory
- description
- 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).
# 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
(e.g. call an LLM to pull out preferences). Without it, `save` stores the raw
user/assistant messages and `recall` scores them lexically + by recency.
- `render(hits)` — replace the built-in prompt renderer.
## Capacity
The adapter scans every record in a scope per `recall`. Fine up to ~100k records; beyond
that, switch to Redis.
GitHubで見る