fleet-memory/hindsight-docs/docs/developer/api/quickstart.mdx
Nicolò Boschi 06200f1752
docs: revamp sidebar with icon grids and language support (#563)
* docs: revamp sidebar with icon grid components and language support

- Merge Clients and Integrations sections into the developer sidebar
  (removed top-level SDKs navbar item)
- Reorder sidebar: Architecture → API → Clients → Integrations → Hosting
- Unify icon system using react-icons (LuXxx/SiXxx) via customProps.icon
- Add uppercase section titles with increased spacing and reduced indentation
- Rename Node.js → "JavaScript / TypeScript" with TypeScript icon
- Add reusable IconGrid and SupportedGrids components (ClientsGrid,
  IntegrationsGrid, LLMProvidersGrid)
- Use grids in FAQ, Models, Overview, and Quick Start pages
- Convert developer/index.md, models.md, faq.md to MDX for JSX support

* fix: use inline style for label color to prevent link color inheritance

* fix: label visibility and rename JavaScript/TypeScript to TypeScript

* feat: add HTTP client to grid and OpenAI Compatible to LLM providers grid
2026-03-13 14:12:42 +01:00

118 lines
2.9 KiB
Text

---
sidebar_position: 0
---
# Quick Start
Get up and running with Hindsight in 60 seconds.
import Tabs from '@theme/Tabs';
import TabItem from '@theme/TabItem';
import CodeSnippet from '@site/src/components/CodeSnippet';
import {ClientsGrid, IntegrationsGrid} from '@site/src/components/SupportedGrids';
{/* Import raw source files */}
import quickstartPy from '!!raw-loader!@site/examples/api/quickstart.py';
import quickstartMjs from '!!raw-loader!@site/examples/api/quickstart.mjs';
import quickstartSh from '!!raw-loader!@site/examples/api/quickstart.sh';
## Clients
<ClientsGrid />
## Start the API Server
<Tabs>
<TabItem value="pip" label="pip (API only)">
```bash
pip install hindsight-api
export OPENAI_API_KEY=sk-xxx
export HINDSIGHT_API_LLM_API_KEY=$OPENAI_API_KEY
hindsight-api
```
API available at [http://localhost:8888](http://localhost:8888/docs)
</TabItem>
<TabItem value="docker" label="Docker (Full Experience)">
```bash
export OPENAI_API_KEY=sk-xxx
docker run --rm -it --pull always -p 8888:8888 -p 9999:9999 \
-e HINDSIGHT_API_LLM_API_KEY=$OPENAI_API_KEY \
-v $HOME/.hindsight-docker:/home/hindsight/.pg0 \
ghcr.io/vectorize-io/hindsight:latest
```
- **API**: http://localhost:8888
- **Control Plane** (Web UI): http://localhost:9999
</TabItem>
</Tabs>
:::tip LLM Provider
Hindsight requires an LLM with structured output support. Recommended: **Groq** with `gpt-oss-20b` for fast, cost-effective inference.
See [LLM Providers](/developer/models#llm) for more details.
:::
---
## Use the Client
<Tabs>
<TabItem value="python" label="Python">
```bash
pip install hindsight-client
```
<CodeSnippet code={quickstartPy} section="quickstart-full" language="python" />
</TabItem>
<TabItem value="node" label="Node.js">
```bash
npm install @vectorize-io/hindsight-client
```
<CodeSnippet code={quickstartMjs} section="quickstart-full" language="javascript" />
</TabItem>
<TabItem value="cli" label="CLI">
```bash
curl -fsSL https://hindsight.vectorize.io/get-cli | bash
```
<CodeSnippet code={quickstartSh} section="quickstart-full" language="bash" />
</TabItem>
</Tabs>
---
## What's Happening
| Operation | What it does |
|-----------|--------------|
| **Retain** | Content is processed, facts are extracted, entities are identified and linked in a knowledge graph |
| **Recall** | Four search strategies (semantic, keyword, graph, temporal) run in parallel to find relevant memories |
| **Reflect** | Retrieved memories are used to generate a disposition-aware response |
---
## Integrations
<IntegrationsGrid />
## Next Steps
- [**Retain**](./retain) — Advanced options for storing memories
- [**Recall**](./recall) — Search and retrieval strategies
- [**Reflect**](./reflect) — Disposition-aware reasoning
- [**Memory Banks**](./memory-banks) — Configure disposition and mission
- [**Server Deployment**](/developer/installation) — Docker Compose, Helm, and production setup