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Restart the gateway if prompted. You may see a "1 suspicious code pattern" warning -- this is normal (the plugin reads configuration and makes encrypted network calls).
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Restart the gateway if prompted. You may see a "1 suspicious code pattern" warning -- this is normal (the plugin reads configuration and makes encrypted network calls). If the plugin fails to load on the very first install, restart the gateway once more -- npm dependencies may still be installing in the background.
-**C compiler** (gcc/g++) -- needed to build PyStemmer from source
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-~600 MB disk space for the local embedding model (one-time download)
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-~34 MB disk space for the local embedding model (one-time download)
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> **Docker users:** On slim images (e.g., `python:3.12-slim`), install a C compiler first:
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> ```bash
@@ -57,8 +57,8 @@ The first time you mention anything worth remembering, the agent will:
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1. Detect that TotalReclaw is not configured yet
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2. Ask: "Do you have an existing recovery phrase, or should I generate a new one?"
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3. Run `totalreclaw_setup`with your phrase
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4. Register with the relay, download the embedding model, and activate
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3. Run `totalreclaw_setup`— if you don't have a phrase, the tool generates one automatically
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4. Register with the relay, download the embedding model (~34 MB, one-time), and activate
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Your recovery phrase and credentials are saved to `~/.totalreclaw/credentials.json` (owner-only permissions). On subsequent restarts, the plugin loads them automatically.
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@@ -179,9 +179,9 @@ Or set the env var (auto-registers with relay on first use):
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export TOTALRECLAW_RECOVERY_PHRASE="your twelve word phrase here"
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```
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### Embedding model download slow
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### Embedding model download
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The first recall/remember downloads ~600 MB. Subsequent calls use the cached model. If download fails, the plugin falls back to keyword-only search (no semantic similarity).
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The first recall/remember downloads ~34 MB (e5-small model). Subsequent calls use the cached model. If download fails, the plugin falls back to keyword-only search (no semantic similarity).
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