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skills/ollama-memory-embeddings/README.md
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skills/ollama-memory-embeddings/README.md
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# ollama-memory-embeddings
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Installable OpenClaw skill to use **Ollama as the embeddings server** for
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memory search (OpenAI-compatible `/v1/embeddings`).
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> **Embeddings only** — chat/completions routing is not affected.
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This skill is available on [GitHub](https://github.com/vidarbrekke/OpenClaw-Ollama-Memory-Embeddings) under the MIT license.
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## Features
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- Interactive embedding model selection:
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- `embeddinggemma` (default — closest to OpenClaw built-in)
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- `nomic-embed-text` (strong quality, efficient)
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- `all-minilm` (smallest/fastest)
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- `mxbai-embed-large` (highest quality, larger)
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- Optional import of a local embedding GGUF into Ollama (`ollama create`)
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- Detects: embeddinggemma, nomic-embed, all-minilm, mxbai-embed GGUFs
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- Model name normalization (handles `:latest` tag automatically)
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- Surgical OpenClaw config update (`agents.defaults.memorySearch`)
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- Post-write config sanity check
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- Smart gateway restart (detects available restart method)
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- Two-step verification: model existence + endpoint response
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- Non-interactive mode for automation (GGUF import is opt-in)
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- Optional memory reindex during install (`--reindex-memory auto|yes|no`)
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- Idempotent drift enforcement (`enforce.sh`)
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- Optional auto-heal watchdog (`watchdog.sh`, launchd on macOS)
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## Install
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```bash
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bash ~/.openclaw/skills/ollama-memory-embeddings/install.sh
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```
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Bulletproof install (enforce + watchdog):
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```bash
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bash ~/.openclaw/skills/ollama-memory-embeddings/install.sh \
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--non-interactive \
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--model embeddinggemma \
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--reindex-memory auto \
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--install-watchdog \
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--watchdog-interval 60
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```
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From repo:
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```bash
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bash skills/ollama-memory-embeddings/install.sh
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```
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## Non-interactive example
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```bash
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bash ~/.openclaw/skills/ollama-memory-embeddings/install.sh \
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--non-interactive \
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--model embeddinggemma \
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--reindex-memory auto \
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--import-local-gguf yes # explicit opt-in; "auto" = "no" in non-interactive
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```
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## Verify
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```bash
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~/.openclaw/skills/ollama-memory-embeddings/verify.sh
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~/.openclaw/skills/ollama-memory-embeddings/verify.sh --verbose # dump raw response on failure
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```
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## Drift guard and self-heal
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One-time check/heal:
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```bash
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~/.openclaw/skills/ollama-memory-embeddings/watchdog.sh --once --model embeddinggemma
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```
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Manual enforce (idempotent):
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```bash
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~/.openclaw/skills/ollama-memory-embeddings/enforce.sh --model embeddinggemma
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```
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Install launchd watchdog (macOS):
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```bash
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~/.openclaw/skills/ollama-memory-embeddings/watchdog.sh \
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--install-launchd \
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--model embeddinggemma \
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--interval-sec 60
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```
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Remove launchd watchdog:
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```bash
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~/.openclaw/skills/ollama-memory-embeddings/watchdog.sh --uninstall-launchd
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```
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## Important: re-embed when changing model
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If you switch embedding model, existing vectors may be incompatible with the new
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vector space. Rebuild/re-embed your memory index after model changes to avoid
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retrieval quality regressions.
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Installer behavior:
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- `--reindex-memory auto` (default): reindex only when embedding fingerprint changed (`provider`, `model`, `baseUrl`, `apiKey presence`).
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- `--reindex-memory yes`: always run `openclaw memory index --force --verbose`.
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- `--reindex-memory no`: never reindex automatically.
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Notes:
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- `enforce.sh --check-only` treats apiKey drift as **missing apiKey** (empty), not strict equality to `"ollama"`.
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- Backups are created only when config changes are actually written.
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- Legacy config fallback supported: if canonical `agents.defaults.memorySearch` is missing,
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scripts read known legacy paths and mirror updates for compatibility.
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