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docs: keep telemetry disclosure to collection and opt-out

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Dhravya 2026-10-04 03:40:25 +00:00
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2
README.md
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@ -336,7 +336,7 @@ const client = new Supermemory({
- **Bring any model** — OpenAI, Anthropic, Gemini, Groq, or any OpenAI-compatible endpoint. An interactive wizard walks you through it on first boot.
- **Embeddings** — local `Xenova/bge-base-en-v1.5` by default (no API key); optionally OpenAI, Gemini, or Ollama. Same provider stack as cloud.
- **Offline text memories if you want** — point it at Ollama (`gpt-oss:20b` works great), turn off telemetry with `SUPERMEMORY_DISABLE_TELEMETRY=1`, and use local text or file inputs after the first embedding-model download. URL ingestion uses a hosted reader service.
- **Offline text memories if you want** — point it at Ollama (`gpt-oss:20b` works great), disable telemetry with `SUPERMEMORY_DISABLE_TELEMETRY=1`, and use local text or file inputs after the first embedding-model download. URL ingestion uses a hosted reader service.
- **Your data, one directory** — everything lives in `./.supermemory`, easy to back up or move.
- **Same API as the platform** — prototype locally, ship on the hosted platform by changing `baseURL`.

2
apps/docs/self-hosting/configuration.mdx
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@ -121,7 +121,7 @@ Raise the limit and concurrency on machines with spare RAM for faster bulk impor
## Telemetry
Supermemory sends telemetry to improve the self-hosted experience. You can turn it off with `SUPERMEMORY_DISABLE_TELEMETRY=1` before starting the server.
Supermemory collects telemetry. You can disable it with `SUPERMEMORY_DISABLE_TELEMETRY=1`.
## Platform-only features

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apps/docs/self-hosting/overview.mdx
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@ -41,7 +41,7 @@ OPENAI_MODEL=gpt-oss:20b \
supermemory-server
```
Local graph engine, local embeddings, local LLM. Text-memory processing can stay on your machine after the embedding model's first download. Supermemory sends telemetry to improve the experience; turn it off with `SUPERMEMORY_DISABLE_TELEMETRY=1` before starting the server. URL ingestion uses a hosted reader service; use local text or file inputs for offline operation.
Local graph engine, local embeddings, local LLM. Text-memory processing can stay on your machine after the embedding model's first download. Supermemory collects telemetry; you can disable it with `SUPERMEMORY_DISABLE_TELEMETRY=1`. URL ingestion uses a hosted reader service; use local text or file inputs for offline operation.
## Drop-in with your existing code