supermemory/apps/docs/self-hosting/quickstart.mdx
Dhravya Shah 72bcf88728
docs: self-hosting section for supermemory-server (#1083)
Co-authored-by: Claude Opus 4.7 <noreply@anthropic.com>
Co-authored-by: Supermemory code review <41898282+Supermemory code review@users.noreply.github.com>
Co-authored-by: Dhravya Shah <undefined@users.noreply.github.com>
2026-06-10 09:41:52 -07:00

151 lines
4.2 KiB
Text

---
title: "Self-Hosting Quickstart"
sidebarTitle: "Quickstart"
description: "From zero to your first memory in under two minutes."
icon: "play"
---
## Install
<Tabs>
<Tab title="curl">
```bash
curl -fsSL https://supermemory.ai/install | bash
```
</Tab>
<Tab title="npx">
```bash
npx supermemory local
```
</Tab>
<Tab title="bunx">
```bash
bunx supermemory local
```
</Tab>
</Tabs>
The installer detects your OS and architecture, downloads the right binary, verifies it, and (when run interactively) prompts you for an LLM API key. Supported platforms: macOS (Apple Silicon & Intel), Linux (x64 & arm64).
## Run
```bash
supermemory-server
```
First boot sets everything up — the embedded Supermemory graph engine, local embeddings, and your credentials:
```
┌──────────────────────────────────────────────────┐
│ url http://localhost:6767 │
│ database ./.supermemory │
│ api key sm_xxxxxxxxxxxxxxxxxxxxxxxxxxxxxx │
│ org id xxxxxxxxxxxxxxxxxxxxxx │
└──────────────────────────────────────────────────┘
```
Save that API key — it's your bearer token for every request.
<Note>
In production, Supermemory runs proprietary models tuned for long-horizon data understanding. Self-hosted, you bring any model: if no provider key is set, first boot launches an interactive setup wizard — pick a provider (OpenAI, Anthropic, Gemini, Groq, or any OpenAI-compatible endpoint like Ollama), paste your key, and it's saved encrypted for every future launch. See [all providers](/self-hosting/configuration#llm-providers), including [fully-offline local models](/self-hosting/configuration#fully-offline-with-local-models).
</Note>
## Add your first memory
<Tabs>
<Tab title="TypeScript">
```typescript
import Supermemory from "supermemory"
const client = new Supermemory({
apiKey: "sm_...",
baseURL: "http://localhost:6767",
})
await client.memories.add({
content: "I'm Dhravya. I love building dev tools and I'm allergic to peanuts.",
containerTag: "user_dhravya",
})
```
</Tab>
<Tab title="Python">
```python
from supermemory import Supermemory
client = Supermemory(
api_key="sm_...",
base_url="http://localhost:6767",
)
client.memories.add(
content="I'm Dhravya. I love building dev tools and I'm allergic to peanuts.",
container_tag="user_dhravya",
)
```
</Tab>
<Tab title="curl">
```bash
curl http://localhost:6767/v3/documents \
-H "Authorization: Bearer sm_..." \
-H "Content-Type: application/json" \
-d '{
"content": "I am Dhravya. I love building dev tools and I am allergic to peanuts.",
"containerTag": "user_dhravya"
}'
```
</Tab>
</Tabs>
## Search it
<Tabs>
<Tab title="TypeScript">
```typescript
const results = await client.search.memories({
q: "what food should I avoid?",
containerTag: "user_dhravya",
})
```
</Tab>
<Tab title="Python">
```python
results = client.search.memories(
q="what food should I avoid?",
container_tag="user_dhravya",
)
```
</Tab>
<Tab title="curl">
```bash
curl http://localhost:6767/v3/search \
-H "Authorization: Bearer sm_..." \
-H "Content-Type: application/json" \
-d '{
"q": "what food should I avoid?",
"containerTag": "user_dhravya"
}'
```
</Tab>
</Tabs>
That's it. Everything in the [Memory API](/quickstart) — documents, memories, user profiles, spaces, filtering — works identically against your local server.
## Where things live
By default, all state lives in a single directory you can back up or move:
| Path | Contents |
|---|---|
| `./.supermemory/` (or `$SUPERMEMORY_DATA_DIR`) | The Supermemory graph engine's data, auth secret, embedding model cache |
| `~/.supermemory/env` | API keys saved by the installer, loaded on every launch |
## Next steps
<CardGroup cols={2}>
<Card title="Configuration" icon="settings" href="/self-hosting/configuration">
LLM providers, local models, performance tuning
</Card>
<Card title="Memory API" icon="book-open" href="/quickstart">
The full API — it all works against your local server
</Card>
</CardGroup>