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feat(memory): add Ollama embedding provider (#26349)

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Merged via /review-pr -> /prepare-pr -> /merge-pr.

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Co-authored-by: nico-hoff <43175972+nico-hoff@users.noreply.github.com>
Co-authored-by: gumadeiras <5599352+gumadeiras@users.noreply.github.com>
Reviewed-by: @gumadeiras
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nico-hoff
2026-03-03 02:56:40 +01:00
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@@ -1299,12 +1299,13 @@ It prefers OpenAI if an OpenAI key resolves, otherwise Gemini if a Gemini key
resolves, then Voyage, then Mistral. If no remote key is available, memory
search stays disabled until you configure it. If you have a local model path
configured and present, OpenClaw
prefers `local`.
prefers `local`. Ollama is supported when you explicitly set
`memorySearch.provider = "ollama"`.
If you'd rather stay local, set `memorySearch.provider = "local"` (and optionally
`memorySearch.fallback = "none"`). If you want Gemini embeddings, set
`memorySearch.provider = "gemini"` and provide `GEMINI_API_KEY` (or
`memorySearch.remote.apiKey`). We support **OpenAI, Gemini, Voyage, Mistral, or local** embedding
`memorySearch.remote.apiKey`). We support **OpenAI, Gemini, Voyage, Mistral, Ollama, or local** embedding
models - see [Memory](/concepts/memory) for the setup details.
### Does memory persist forever What are the limits